Relevant bibliographies by topics / Voltage Optimization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Voltage Optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 June 2025

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Journal articles on the topic "Voltage Optimization"

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Lawrence, R. "Voltage optimization." IEEE Industry Applications Magazine 12, no. 5 (2006): 28–33. http://dx.doi.org/10.1109/mia.2006.1678384.

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Komrska, Tomáš, and Tomáš Glasberger. "Pulse Width Modulation of Three Phase Inverters Based on Linear Programming." TRANSACTIONS ON ELECTRICAL ENGINEERING 8, no. 3 (2020): 44–48. http://dx.doi.org/10.14311/tee.2019.3.044.

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Traditional three-phase voltage-source inverters supplied by constant dc-link voltage usually utilize the space vector PWM to achieve maximum output voltage. This paper deals with optimization of inverter leg voltages using linear programming method. System definition is based on the relationship between the known voltage vector, which is demanded by an upper control loop and the unknown leg voltages which enter the carrier-based PWM block as modulation signals. A slack variable is introduced to the system as minimization objective, defining border for all leg voltages. Optimization procedure minimizes leg voltage maxima, and thus, the maximum utilization of the dc-link voltage is ensured. The theoretical assumptions have been verified by simulations as well as by experiments on laboratory prototype.
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Di Fazio, Anna, Mario Russo, and Michele De Santis. "Zoning Evaluation for Voltage Optimization in Distribution Networks with Distributed Energy Resources." Energies 12, no. 3 (2019): 390. http://dx.doi.org/10.3390/en12030390.

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This paper deals with the problem of the voltage profile optimization in a distribution system including distributed energy resources. Adopting a centralized approach, the voltage optimization is a non-linear programming problem with large number of variables requiring a continuous remote monitoring and data transmission from/to loads and distributed energy resources. In this study, a recently-proposed Jacobian-based linear method is used to model the steady-state operation of the distribution network and to divide the network into voltage control zones so as to reformulate the centralized optimization as a quadratic programming of reduced dimension. New clustering methods for the voltage control zone definition are proposed to consider the dependence of the nodal voltages on both active and reactive powers. Zoning methodologies are firstly tested on a 24-nodes low voltage network and, then, applied to the voltage optimization problem with the aim of analyzing the impact of the R/X ratios on the zone evaluation and on the voltage optimization solution.
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Syahrul Ashikin Azmi. "Impact of Under Voltage Load Shedding Approach for Voltage Security Control in Power Quality Environment." Journal of Electrical Systems 20, no. 7s (2024): 321–31. http://dx.doi.org/10.52783/jes.3324.

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Contingencies in power system are an ever-present problem for electrical engineers. They may cause the system to have low voltages due to active and reactive power deficiencies. Engineers shold consider the many solutions to approach this problem. The solution has to be appropriate to the contingency faced so as to be able to solve the issue without major damage to a power system. A drastic measure that can be used is by removing low voltage loads or ‘shedding’ the problematic loads. This method of Under Voltage Load Shedding is done by shedding or ‘islanding’ buses that have fallen to a predetermined minimum voltage for a predetermined time to prevent a cascade of blackouts in the widespread power system. The method to automate the process is by using two optimization techniques, Evolutionary Programming (EP) and Particle Swarm Optimization (PSO). This paper proposes a new hybrid algorithm, named Integrated Chaotic Swarm Based-Evolutionary Programming Optimization (ICSBEP) Technique for Voltage Security Control using Under Voltage Load Shedding (UVLS) approach. Voltage security is indicated by the reduction in voltage stability index, FVSI. In this study, EP, PSO and ICSBEP optimizations algorithms were developed and tested on a IEEE 30-bus reliability test system (RTS). Comparative studies were conducted to observe the advantages of the hybrid algorithm over traditional EP and PSO algorithms. The results obtained from the study can help manage the power quality of the system in ensuring that the customer receive secure electricity supply.
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Saeed, Wafaa, and Layth Tawfeeq. "Voltage Collapse Optimization for the Iraqi Extra High Voltage 400 kV Grid based on Particle Swarm Optimization." Iraqi Journal for Electrical and Electronic Engineering 13, no. 1 (2017): 17–31. http://dx.doi.org/10.37917/ijeee.13.1.3.

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The continuously ever-growing demand for the electrical power causing the continuous expansion and complexity of power systems, environmental and economic factors forcing the system to work near the critical limits of stability, so research's stability have become research areas worthy of attention in the resent day. The present work includes two phases: The first one is to determine the Voltage Stability Index for the more insensitive load bus to the voltage collapse in an interconnected power system using fast analyzed method based on separate voltage and current for PQ buses from these of PV buses, while the second phase is to suggested a simulated optimization technique for optimal voltage stability profile all around the power system. The optimization technique is used to adjust the control variables elements: Generator voltage magnitude, active power of PV buses, VAR of shunt capacitor banks and the position of transformers tap with satisfied the limit of the state variables (load voltages, generator reactive power and the active power of the slack bus). These control variables are main effect on the voltage stability profile to reach the peak prospect voltage stable loading with acceptable voltage profile. An optimized voltage collapse based on Particle Swarm Optimization has been tested on both of the IEEE 6 bus system and the Iraqi Extra High Voltage 400 kV Grid 28 bus. To ensure the effectiveness of the optimization technique a comparison between the stability indexes for load buses before and after technical application are presented. Simulation results have been executed using Matlab software.
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Sosnina, Elena, Aleksey Kralin, Anatoly Asabin, and Evgeny Kryukov. "Medium-Voltage Distribution Network Parameter Optimization Using a Thyristor Voltage Regulator." Energies 15, no. 15 (2022): 5756. http://dx.doi.org/10.3390/en15155756.

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The article is devoted to the study of steady-state conditions of a distribution network containing a thyristor voltage regulator. The thyristor voltage regulator (TVR) is a new controlled semiconductor device developed at Nizhny Novgorod State Technical University n.a. R.E. Alekseev (NNSTU). The TVR allows the optimization of the parameters of 6–20 kV distribution networks (currents and voltages) by voltage regulation. An analytical calculation of electromagnetic processes of a distribution network with the TVR has been carried out. The verification of the obtained results has been made using a computer simulation. The dependences of the current and power on additional voltage introduced by the TVR under different voltage regulation modes have been obtained. It has been shown that the use of the TVR enables optimal flow distribution to be ensured over the power transmission lines in proportion to their transfer capability when changing load power and its power factor.
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Bradford, Jolene A., Matthew Shallice, Ramiro Diz, et al. "Multicolor Immunophenotyping using Flow Cytometry: Evaluation of Multiple Methods for Instrument Optimization." Journal of Immunology 200, no. 1_Supplement (2018): 120.37. http://dx.doi.org/10.4049/jimmunol.200.supp.120.37.

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Abstract A basic tool of the Immunologist, multicolor flow cytometry is a technology that uses multiple fluorescent markers to identify and characterize populations of cells. To obtain high quality fluorescent flow cytometry data, a well-optimized instrument is required. The most common type of detector is the photo-multiplier tube (PMT), which amplifies signal from emitted light photons by applying a voltage to the PMT. As the voltage is increased the fluorescent signal is increasingly separated from background, providing greater resolution of the positive signal. However, at a certain voltage, the increasing separation of fluorescent signal from background will plateau and the separation of fluorescent signal from background will remain constant. This is called the minimum voltage required; an ideal minimal voltage will amplify dim signal above background, but is not so high that the fluorescent signal exceeds the upper range of PMT linearity. In most cases, adjusting voltages above the minimal voltage does not increase the separation, while voltages below the minimal voltage requirement compromise detection of dim fluorescent signal. A variety of methods have been proposed to optimize the PMT voltage, most using a technique called the voltage walk, or voltration. This study compares a variety of techniques and calculations, using different types of hard-dyed beads that are detected in all channels but do not include specific fluorophores used for typical experimentation; both cells and antibody-capture beads labeled with fluorophores specific to a detector; Electronic Noise (EN) of the PMT, and methods combining these approaches. For Research Use Only. Not for use in diagnostic procedures.
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Deng, Hongyuan, Yudong Jia, Yongqiang Zhu, and Ruihua Xia. "Probabilistic Voltage Optimization Considering Load Static Voltage Characteristics." Journal of Physics: Conference Series 2731, no. 1 (2024): 012034. http://dx.doi.org/10.1088/1742-6596/2731/1/012034.

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Abstract In the conventional power flow calculation, the load is mostly treated as a constant power node. When the voltage deviation occurs, the static voltage characteristics of the load will change, resulting in the change of the power flow calculation. This situation is more likely to occur in the distribution network with distributed power supply. Therefore, it is very important to consider the static voltage response characteristics of the load in the power flow calculation. In the existing literature, when evaluating and optimizing voltage stability, deterministic indicators are usually used to evaluate the voltage level of the system. In the active distribution network with uncertain new energy output, this method has its limitations. Based on the above analysis, this paper uses the power flow calculation method considering the static voltage characteristics of the load to solve the node voltage distribution of the distribution network system. Considering the uncertainty of new energy output and load, the semi-invariant method is used to analyze the probabilistic power flow. An evaluation index considering the digital characteristics of voltage deviation distribution is proposed. The voltage optimization model is established according to the proposed index, and the genetic algorithm is used to solve the problem. The IEEE33 node standard example is simulated to verify the correctness and feasibility of the proposed method.
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Rafi, Saied, and Manra Vikas. "INTERCONNECT OPTIMIZATION FOR RELIABILITY AND SCALABILITY." Advances in Interconnect Technologies: An International Journal (AITIJ) 1, no. 1 (2022): 7. https://doi.org/10.5281/zenodo.7108241.

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As process nodes continue to shrink to improve transistor density and performance, it is causing an increase in resistance of interconnects. At higher voltages devices speed up even more, causing interconnect to become the frequency limiter. Relatively in every node the interconnect delays continue to increase. In High Speed designs timing optimization is done across several modes to coverage design for multiple PVT points. With growing demand for Internet of Things (IoT) and autonomous driving, the need for high speed designs to be reliable and dependable at extreme conditions of high voltage and temperature continues to increase. Due to this the path profile across multiple PVT have changed with special focus on high voltage due to interconnect dominance. While most tools are capable of multi corner optimization, the increase in number of modes has challenges and more enhancements are needed to address interconnect. One such area is Interconnect scaling with repeater optimization at Section and Full chip levels. While previous papers have looked at several techniques to improve timing and slope for a given corner [1], [2], [3], this paper describes a formula to design the repeater solution to optimize delay scaling across different corners such as High Voltage and Typical Voltage to maximize performance.
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Maria, Bartalesi, Brambilla, Pistoni, and Orrea. "Optical Voltage Transducer for Embedded Medium Voltage Equipment: Design and Parameters Optimization." Proceedings 15, no. 1 (2019): 17. http://dx.doi.org/10.3390/proceedings2019015017.

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An Optical Voltage Sensor prototype has been developed suitable for operating as embedded sensor in capacitive dividers for monitoring Medium Voltage in distribution networks. It is based on a retracing scheme, which consists of Lithium Tantalate crystals used as voltage transducers, and on telecom standard single mode fibre components. In this work a optimization of the optical layout via a numerical and an experimental investigation is reported for guaranteeing the OVS sensor survival under fast over-voltages. Tests carried out under different configurations of the electric circuit did not evidenced critical electric field gradients within the transduction path which could damage or deteriorate over time the performance of the OVS sensor.
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Dissertations / Theses on the topic "Voltage Optimization"

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Thakral, Garima. "Process-Voltage-Temperature Aware Nanoscale Circuit Optimization." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc67943/.

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Embedded systems which are targeted towards portable applications are required to have low power consumption because such portable devices are typically powered by batteries. During the memory accesses of such battery operated portable systems, including laptops, cell phones and other devices, a significant amount of power or energy is consumed which significantly affects the battery life. Therefore, efficient and leakage power saving cache designs are needed for longer operation of battery powered applications. Design engineers have limited control over many design parameters of the circuit and hence face many chal-lenges due to inherent process technology variations, particularly on static random access memory (SRAM) circuit design. As CMOS process technologies scale down deeper into the nanometer regime, the push for high performance and reliable systems becomes even more challenging. As a result, developing low-power designs while maintaining better performance of the circuit becomes a very difficult task. Furthermore, a major need for accurate analysis and optimization of various forms of total power dissipation and performance in nanoscale CMOS technologies, particularly in SRAMs, is another critical issue to be considered. This dissertation proposes power-leakage and static noise margin (SNM) analysis and methodologies to achieve optimized static random access memories (SRAMs). Alternate topologies of SRAMs, mainly a 7-transistor SRAM, are taken as a case study throughout this dissertation. The optimized cache designs are process-voltage-temperature (PVT) tolerant and consider individual cells as well as memory arrays.
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Rosehart, William D. "Optimization of power systems with voltage security constraints." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ60563.pdf.

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Pereira, Pedro Miguel Ribeiro. "Optimization based design of LC voltage controlled oscilators." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11349.

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Chiang, Meei-Ling. "Design and optimization of low-voltage switched-capacitor systems /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/5918.

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Ziari, Iman. "Planning of distribution networks for medium voltage and low voltage." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/46684/1/Iman_Ziari_Thesis.pdf.

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Determination of the placement and rating of transformers and feeders are the main objective of the basic distribution network planning. The bus voltage and the feeder current are two constraints which should be maintained within their standard range. The distribution network planning is hardened when the planning area is located far from the sources of power generation and the infrastructure. This is mainly as a consequence of the voltage drop, line loss and system reliability. Long distance to supply loads causes a significant amount of voltage drop across the distribution lines. Capacitors and Voltage Regulators (VRs) can be installed to decrease the voltage drop. This long distance also increases the probability of occurrence of a failure. This high probability leads the network reliability to be low. Cross-Connections (CC) and Distributed Generators (DGs) are devices which can be employed for improving system reliability. Another main factor which should be considered in planning of distribution networks (in both rural and urban areas) is load growth. For supporting this factor, transformers and feeders are conventionally upgraded which applies a large cost. Installation of DGs and capacitors in a distribution network can alleviate this issue while the other benefits are gained. In this research, a comprehensive planning is presented for the distribution networks. Since the distribution network is composed of low and medium voltage networks, both are included in this procedure. However, the main focus of this research is on the medium voltage network planning. The main objective is to minimize the investment cost, the line loss, and the reliability indices for a study timeframe and to support load growth. The investment cost is related to the distribution network elements such as the transformers, feeders, capacitors, VRs, CCs, and DGs. The voltage drop and the feeder current as the constraints are maintained within their standard range. In addition to minimizing the reliability and line loss costs, the planned network should support a continual growth of loads, which is an essential concern in planning distribution networks. In this thesis, a novel segmentation-based strategy is proposed for including this factor. Using this strategy, the computation time is significantly reduced compared with the exhaustive search method as the accuracy is still acceptable. In addition to being applicable for considering the load growth, this strategy is appropriate for inclusion of practical load characteristic (dynamic), as demonstrated in this thesis. The allocation and sizing problem has a discrete nature with several local minima. This highlights the importance of selecting a proper optimization method. Modified discrete particle swarm optimization as a heuristic method is introduced in this research to solve this complex planning problem. Discrete nonlinear programming and genetic algorithm as an analytical and a heuristic method respectively are also applied to this problem to evaluate the proposed optimization method.
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Okubo, H., T. Otsuka, K. Kato, N. Hayakawa, and M. Hikita. "Electric field optimization of high voltage electrode based on neural network." IEEE, 1997. http://hdl.handle.net/2237/6881.

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Westerberg, Jens. "Optimering av ett mellanspänningsnät : Optimization of a medium voltage electricity grid." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-104889.

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EU vill genom att använda energin effektivare sänka sina energikostnader och minska sitt beroende av externa leverantörer av olja och gas vilket leder till att miljön skyddas. Av den anledningen krävs att energieffektiviteten ökas från produktion till den slutgiltiga konsumtionen inom EU. Jämtkraft är miljöcertifierat enligt ISO 14001 och arbetar därför årligen mot uppsatta miljömål. Detta examensarbete har studerat ett av dessa mål, möjligheten att minska överföringsförluster i ett av Jämtkrafts mellanspänningsnät. Området som examensarbetet baseras på är fördelningsstation Nälden FS23. Denna studie har undersökt möjligheterna att minska överföringsförluster i sex utgående linjer, från fördelningsstation till kunderna. Denna studie visar att det finns potential att minska överföringsförluster genom att öka spänningen i nätet. En direkt åtgärd och en långsiktig åtgärd har presenterats med olika potential. Den direkta åtgärden gör det möjligt att minska de årliga överföringsförlusterna med 6 MWh och det långsiktiga alternativet gör det möjligt att minska de årliga överföringsförlusterna i det studerade området med 14 MWh.<br>EU wants to reduce their energy costs and reduce its dependence on external suppliers of oil and gas by using energy more efficiently which leads to protection of the environment. For that reason it is crucial that energy efficiency is increased from production to final consumption in the EU. Jämtkraft is environmentally certified according to ISO 14001 and are therefore working yearly on environmental goals. This degree project has studied one of those goals, the opportunity to reduce transmission losses in one of Jämtkrafts medium voltage electricity grid. The area which this degree project is based on is the distribution station Nälden FS23. This study has examined the possibilities of decreasing transmission losses in six outgoing lines, from distribution station to customers. This study shows that there is potential to reduce transmission losses by increasing the voltage in the grid. A direct action as well as a long-term action was presented with different potential. A direct action makes it possible to reduce yearly transmission losses by 6 MWh and the long-term alternative makes it possible to reduce the yearly transmission losses in the studied area by 14 MWh
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Panji, Arikson Heraldus. "Optimization of High Voltage Cable Dimension in Scania Electric Vehicle’s Systems." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278073.

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With the increasing demand for electrified vehicles, the demand for electrical components, including cables, is rising too. Thus, it is important to develop a method to optimize the cable sizing to ensure the cable is technically robust and economically efficient. The aim of this project is to study and evaluate different cables’ designs to find the optimum dimension for “high voltage” class (automotive voltage class B) cables in the electrical vehicle system. Three important technical aspects in evaluating the optimum cross-section area (CSA) are the ampacity of the cable, short-circuit withstand capability and voltage drop.In this project, the ampacity of a cable placed in air is calculated by the analytical method based on IEC 60287 and by a finite-element simulation. These results are verified against direct measurements using a dc source and load. In DC calculation, the similarity of all three methods is high, within 96%. The formation of the cable also affects the ampacity of the cable. For DC currents, the vertical formation has a higher ampacity than the horizontal formation, by almost 2%. For AC currents, the trefoil formation has a higher ampacity than the horizontal and vertical formation, by around 6-9%.Calculations of short circuit withstand capability and voltage drop were performed to ensure cable performance. The larger CSA corresponds to both higher short circuit capability and lower voltage drop. In a short circuit, a duration around 0.5 s is critical since there is a significant difference between short circuit withstand capability before and after this. Voltage drop calculation is performed to ensure that the combination of CSA and length does not exceed 3% voltage drop at the load end side of the circuit. The Voltage drop is not found to be an important factor to consider. Based on those three factors, the optimization process is described with a flowchart.<br>Efterfrågan på elfordon ökar, och därmed ökar också efterfrågan på den elektriska komponenten. Därför är det viktigt att utveckla en metod för att optimera kabelstorleken så att kabeln är tekniskt robust och ekonomiskt effektiv. Syftet med detta projekt är att studera och utvärdera olika kablarnas konstruktioner för att hitta den optimala dimensionen för högspänningsklass (spänningsklass B) i elfordonssystemet. Tre viktiga tekniska aspekter vid utvärderingen av den optimala kabelstorleken är kabelns kapacitet, kortslutningsförmåga och spänningsfall.I detta projekt placeras kabeln i luften. Ampaciteten beräknas med hjälp av en analytisk metod baserad på IEC 60287 och en simulering med finita element metoden. Dessa resultat verifieras mot direkta mätningar med hjälp av en likströmskälla och elektrisk belastning. För DC-beräkning är likheten för alla tre metoderna mycket hög. Bildningen av kabeln påverkar också kabelns ampacitet. För DC-strömmar har den vertikala formationen en högre ampacitet än den horisontella formationen för nästan 2%. För växelströmmar har trefoilformationen en högre ampacitet än den horisontella och vertikala formationen med 6-9 %.Kortslutningsförmågan och spänningsfallberäkningen utfördes för att säkerställa kabelprestanda. En större CSA innebär högre kortslutningsförmåga och lägre spänningsfall. Spänningsfallberäkning utförs för att begränsa kabellängden för att säkerställa ett maximalt 3% spänningsfall vid kretsens laständsida. Spänningsfallet är en viktig faktor att beakta. Med hjälp av dessa tre faktorer beskrivs optimeringsprocessen med ett flödesschema.
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Mijatovic, Aaron. "Solving optimal power flow with voltage constraints using MATLAB optimization toolbox." Thesis, Mijatovic, Aaron (2013) Solving optimal power flow with voltage constraints using MATLAB optimization toolbox. Other thesis, Murdoch University, 2013. https://researchrepository.murdoch.edu.au/id/eprint/21660/.

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This thesis set out to build a program in MATLAB that is designed to find an optimal power flow system on that minimizes the cost of generation while satisfying prescribed voltage constraints. Current optimal power flow solutions generally have three main issues with optimal power flow and this is the direction of most research in the area. The first issue is that the systems are not able to robustly provide a solution to the given information and are unable to find a stable solution. The second issue is that the optimal power flow may only find a local minimum solution rather than a global minimum due to the nature of the optimization routines. The third and final issue is that the solve time needs to be kept to a minimum to ensure usability in real world systems. The system was built in MATLAB using the Optimization Toolbox, and specifically the fmincon function. The system accepted some basic input variables including a formatted numerical description of the power network, and then performed some calculations to prepare the system for solving. The system was then solved according to Economic Dispatch which determined that the sum of generation should equal the sum of the load. Losses were ignored and new starting variables for the generators where determined. These starting variables were passed into a Gauss-Seidel iterative method which solved the new bus voltages and reactive generation for each of the generators. The objective function for fmincon was set to minimise the cost of the generators, and the constraint function was set to the Gauss-Seidel iteration. Buses were given lower and upper constraints and generator constraints were set from the minimum and maximum given in initialization. Fmincon was then called and solved for minimum cost according to stable constraints. The system was able to solve this problem the optimal power flow and provide an appropriate solution. However it was not determined whether the solution was a global minimum, or simply a local one. Stability was determined by the generators and buses being within their limits and a voltage stability index was determined. Different starting positions determined that using the economic dispatch provided the cheapest solution and produced a stable outcome. This thesis provides strong starting point for further expansion into the field of optimal power flow. The program provides a solution and is set to certain stability constraints. Adding new constraints, or increasing the size of the system is easily possible by the user.
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Jalali, Mana. "Voltage Regulation of Smart Grids using Machine Learning Tools." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/95962.

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Smart inverters have been considered the primary fast solution for voltage regulation in power distribution systems. Optimizing the coordination between inverters can be computationally challenging. Reactive power control using fixed local rules have been shown to be subpar. Here, nonlinear inverter control rules are proposed by leveraging machine learning tools. The designed control rules can be expressed by a set of coefficients. These control rules can be nonlinear functions of both remote and local inputs. The proposed control rules are designed to jointly minimize the voltage deviation across buses. By using the support vector machines, control rules with sparse representations are obtained which decrease the communication between the operator and the inverters. The designed control rules are tested under different grid conditions and compared with other reactive power control schemes. The results show promising performance.<br>With advent of renewable energies into the power systems, innovative and automatic monitoring and control techniques are required. More specifically, voltage regulation for distribution grids with solar generation is a can be a challenging task. Moreover, due to frequency and intensity of the voltage changes, traditional utility-owned voltage regulation equipment are not useful in long term. On the other hand, smart inverters installed with solar panels can be used for regulating the voltage. Smart inverters can be programmed to inject or absorb reactive power which directly influences the voltage. Utility can monitor, control and sync the inverters across the grid to maintain the voltage within the desired limits. Machine learning and optimization techniques can be applied for automation of voltage regulation in smart grids using the smart inverters installed with solar panels. In this work, voltage regulation is addressed by reactive power control.
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Books on the topic "Voltage Optimization"

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Mok, Philip Kwok Tai. Optimization of breakdown voltage in high voltage integrated circuits. National Library of Canada, 1990.

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David, Jacobson, Jankovsky Robert S, and NASA Glenn Research Center, eds. High voltage SPT performance. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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Manzella, David. High voltage SPT performance. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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Raghunathan, Anand. High-level power analysis and optimization. Kluwer Academic, 1998.

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Chang, Jui-ming. Power optimization and synthesis at behavioral and system levels using formal methods. Kluwer, 1999.

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Chang, Jui-ming. Power optimization and synthesis at behavioral and system levels using formal methods. Kluwer, 1999.

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Discrete Circuit Optimization Library Based Gate Sizing And Threshold Voltage Assignment. Now Publishers, 2012.

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Particle Swarm Optimization Approach for Distributed Generation Planning to Improve the Voltage Profile Margin. GRIN Verlag GmbH, 2017.

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Zaccaria, Vittorio, Donatella Sciuto, Cristina Silvano, and M. G. Sami. Power Estimation and Optimization Methodologies for VLIW-Based Embedded Systems. Springer London, Limited, 2007.

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Zaccaria, Vittorio, M. G. Sami, Donatella Sciuto, and Cristina Silvano. Power Estimation and Optimization Methodologies for VLIW-based Embedded Systems. Springer, 2003.

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Book chapters on the topic "Voltage Optimization"

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Sharma, Vibhu, Francky Catthoor, and Wim Dehaene. "Adaptive Voltage Optimization Techniques: Low Voltage SRAM Operation." In SRAM Design for Wireless Sensor Networks. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4039-0_3.

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Ramadass, Yogesh K., Joyce Kwong, Naveen Verma, and Anantha Chandrakasan. "Adaptive Supply Voltage Delivery for Ultra-dynamic Voltage Scaled Systems." In Adaptive Techniques for Dynamic Processor Optimization. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76472-6_5.

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Spreemann, Dirk, and Yiannos Manoli. "Power and Voltage Optimization Approach." In Electromagnetic Vibration Energy Harvesting Devices. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2944-5_3.

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Qin, Nan. "Numerical Optimization." In Voltage Control in the Future Power Transmission Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69886-1_3.

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López, Toni, Reinhold Elferich, and Eduard Alarcón. "Model Level 3: Optimization." In Voltage Regulators for Next Generation Microprocessors. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7560-7_5.

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Wu, Yongling, Xiaodong Zhao, Kang Li, and Shaoyuan Li. "Parameter Optimization of Voltage Droop Controller for Voltage Source Converters." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45286-8_10.

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Shen, Ruijing, Sheldon X. D. Tan, and Hao Yu. "Voltage Binning Technique for Yield Optimization." In Statistical Performance Analysis and Modeling Techniques for Nanometer VLSI Designs. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-0788-1_17.

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Golanbari, Mohammad Saber, Mojtaba Ebrahimi, Saman Kiamehr, and Mehdi B. Tahoori. "Selective Flip-Flop Optimization for Circuit Reliability." In Dependable Embedded Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52017-5_14.

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Abstract:
AbstractThis chapter proposes a selective flip-flop optimization method (Golanbari et al., IEEE Trans Very Large Scale Integr VLSI Syst 39(7):1484–1497, 2020; Golanbari et al., Aging guardband reduction through selective flip-flop optimization. In: IEEE European Test Symposium (ETS) (2015)), in which the timing and reliability of the VLSI circuits are improved by optimizing the timing-critical components under severe impact of runtime variations. As flip-flops are vulnerable to aging and supply voltage fluctuation, it is necessary to address these reliability issues in order to improve the overall system lifetime. In the proposed method, we first extend the standard cell libraries by adding optimized versions of the flip-flops designed for better resiliency against severe Bias Temperature Instability (BTI) impact and/or supply voltage fluctuation. Then, we optimize the VLSI circuit by replacing the aging-critical and voltage-drop critical flip-flops of the circuit with optimized versions to improve the timing and reliability of the entire circuit in a cost-effective way. Simulation results show that incorporating the optimized flip-flops in a processor can prolong the circuit lifetime by 36.9%, which translates into better reliability.This chapter is organized as follows. Section 1 introduces wide-voltage operation reliability issues and motivates the proposed selective flip-flop optimization approach. The impacts of runtime variations on flip-flops are explained in Sect. 2. Consequently, Sect. 3 presents cell-level optimization of the flip-flops. The proposed selective flip-flop optimization methodology is described in Sect. 4, and optimization results are discussed in Sect. 5. Finally, Sect. 7 concludes the chapter.
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De Luca, Alessandro, and Giovanni Ulivi. "Dynamic decoupling of voltage frequency controlled induction motors." In Analysis and Optimization of Systems. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0042208.

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Chang, Jui-Ming, and Massoud Pedram. "Multiple Supply Voltage Scheduling." In Power Optimization and Synthesis at Behavioral and System Levels Using Formal Methods. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5199-7_4.

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Conference papers on the topic "Voltage Optimization"

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Tian, Yuhong. "Reactive Voltage Optimization of Active Distribution Network." In 2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA). IEEE, 2024. http://dx.doi.org/10.1109/icipca61593.2024.10709164.

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Pavlov, Leonid, and Denys Lebedev. "Reference Voltage Source Optimization." In 2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO). IEEE, 2022. http://dx.doi.org/10.1109/elnano54667.2022.9927111.

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Hardi, Surya, and I. Daut. "Sensitivity of low voltage consumer equipment to voltage sags." In 2010 4th International Power Engineering and Optimization Conference (PEOCO). IEEE, 2010. http://dx.doi.org/10.1109/peoco.2010.5559179.

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Saxena, Ragini, and Manorma Kushwah. "Optimization of voltage sag/swell using dynamic voltage restorer (DVR)." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7755474.

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Khunkitti, Sirote, and Suttichai Premrudeepreechacharn. "Voltage Stability Improvement Using Voltage Stability Index Optimization." In 2020 International Conference on Power, Energy and Innovations (ICPEI). IEEE, 2020. http://dx.doi.org/10.1109/icpei49860.2020.9431536.

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Kuan, L. C., and Y. N. Khaw. "Voltage and current detectors for series arc in low voltage switchboard." In 2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO). IEEE, 2014. http://dx.doi.org/10.1109/peoco.2014.6814392.

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Vinnal, T., K. Janson, H. Kalda, and T. Sakkos. "Supply voltage level optimization in industrial low voltage networks." In 2012 Electric Power Quality and Supply Reliability Conference (PQ). IEEE, 2012. http://dx.doi.org/10.1109/pq.2012.6256219.

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Zhu, Jinsong, and Sen Dou. "Intermediate Bus Voltage Optimization for High Voltage Input VRM." In 2006 7th International Conference on Electronic Packaging Technology. IEEE, 2006. http://dx.doi.org/10.1109/icept.2006.359751.

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Kanjanop, Arnon, Apirak Suadet, Pratchayaporn Singhanath, Thawatchai Thongleam, Sanya Kuankid, and Varakorn Kasemsuwan. "An ultra low voltage rail-to-rail DTMOS voltage follower." In 2011 Fourth International Conference on Modeling, Simulation and Applied Optimization (ICMSAO). IEEE, 2011. http://dx.doi.org/10.1109/icmsao.2011.5775534.

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Kopicka, Marek, Jiri Drapela, and David Topolanek. "Voltage regulation optimization in low voltage network based on Voltage Quality Index." In 2014 15th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2014. http://dx.doi.org/10.1109/epe.2014.6839541.

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Reports on the topic "Voltage Optimization"

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Moir, David, Trevor Burris-Mog, Nicholas Kallas, Michael Jaworski, and Brian Mccuistian. Optimization of DARHT Axis 1 Injector Voltage. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1648059.

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Ong, M., and G. Vogtlin. Flash X-Ray (FXR) Accelerator Optimization - Beam-induced Voltage Simulation and TDR Measurements. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/15014170.

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Assink, Roger Alan, Kenneth Todd Gillen, and Robert Bernstein. Nuclear Energy Plant Optimization (NEPO) final report on aging and condition monitoring of low-voltage cable materials. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/875986.

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