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Relevant bibliographies by topics / MULTIOBJECTIVE ECONOMIC LOAD

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Academic literature on the topic 'MULTIOBJECTIVE ECONOMIC LOAD'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "MULTIOBJECTIVE ECONOMIC LOAD"

1

Yasin, Z. M., N. F. A. Aziz, N. A. Salim, N. A. Wahab, and N. A. Rahmat. "Optimal Economic Load Dispatch using Multiobjective Cuckoo Search Algorithm." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 168. http://dx.doi.org/10.11591/ijeecs.v12.i1.pp168-174.

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In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. The main goal of the ELD is to meet the load demand at minimum operating cost by determining the output of the committed generating unit while satisfying system equality and inequality constraints. The problem formulation is based on a multiobjective model in which the multiobjective are defined as fuel cost minimization and carbon emission minimization. MOCSA is based on the inspiration from the brooding parasitism of cuckoo species in nature. Three cases are considered to

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2

., N. Ramyasri. "FUZZIFIED PSO FOR MULTIOBJECTIVE ECONOMIC LOAD DISPATCH PROBLEM." International Journal of Research in Engineering and Technology 02, no. 08 (2013): 157–62. http://dx.doi.org/10.15623/ijret.2013.0208026.

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3

Zhang, Guoping, Weijun Wang, Jie Du, and Haoyun Sheng. "Multiobjective Economic Optimal Dispatch for the Island Isolated Microgrid under Uncertainty Based on Interval Optimization." Mathematical Problems in Engineering 2021 (October 11, 2021): 1–14. http://dx.doi.org/10.1155/2021/9983104.

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In order to analyse the impact of renewable generation and load uncertainties on the economic operation optimization of the island microgrid, a multiobjective economic optimal dispatch model under uncertainty based on interval optimization is proposed in this paper. The mathematical model of distributed generation and the prediction model of wind speed and wave generation are established. The uncertainties of renewable generation and load are described by the interval mathematical method. On this basis, the interval multiobjective optimal dispatch model is presented. For the “battery disgustin

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4

Singh, Nagendra, and Yogendra Kumar. "Multiobjective Economic Load Dispatch Problem Solved by New PSO." Advances in Electrical Engineering 2015 (February 19, 2015): 1–6. http://dx.doi.org/10.1155/2015/536040.

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Proposed in this paper is a new particle swarm optimization technique for the solution of economic load dispatch as well as environmental emission of the thermal power plant with power balance and generation limit constraints. Economic load dispatch is an online problem to minimize the total generating cost of the thermal power plant and satisfy the equality and inequality constraints. Thermal power plants use fossil fuels for the generation of power; fossil fuel emits many toxic gases which pollute the environment. This paper not only considers the economic load dispatch problem to reduce the

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5

Hou, Hui, Mengya Xue, Yan Xu, et al. "Multiobjective Joint Economic Dispatching of a Microgrid with Multiple Distributed Generation." Energies 11, no. 12 (2018): 3264. http://dx.doi.org/10.3390/en11123264.

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Based on the operation characteristics of each dispatch unit, a multi-objective hierarchical Microgrid (MG) economic dispatch strategy with load level, source-load level, and source-grid-load level is proposed in this paper. The objective functions considered are to minimize each dispatching unit’s comprehensive operating cost (COC), reduce the power fluctuation between the MG and the main grid connect line, and decrease the remaining net load of the MG after dispatch by way of energy storage (ES) and clean energy. Firstly, the load level takes electric vehicles (EVs) as a means of controlling

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6

Farag, A., S. Al-Baiyat, and T. C. Cheng. "Economic load dispatch multiobjective optimization procedures using linear programming techniques." IEEE Transactions on Power Systems 10, no. 2 (1995): 731–38. http://dx.doi.org/10.1109/59.387910.

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7

Swain, Rajkishore, Pallab Sarkar, Krishna Chandra Meher, and Chandan Kumar Chanda. "Population variant differential evolution-based multiobjective economic emission load dispatch." International Transactions on Electrical Energy Systems 27, no. 10 (2017): e2378. http://dx.doi.org/10.1002/etep.2378.

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8

Jain, N. K., Uma Nangia, and Iqbal Singh. "Multiobjective Economic Load Dispatch in 3-D Space by Genetic Algorithm." Journal of The Institution of Engineers (India): Series B 98, no. 5 (2017): 495–501. http://dx.doi.org/10.1007/s40031-017-0280-x.

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9

Rajesh, Kummari, and N. Visali. "Hybrid method for achieving Pareto front on economic emission dispatch." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (2020): 3358. http://dx.doi.org/10.11591/ijece.v10i4.pp3358-3366.

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In this paper hybrid method, Modified Nondominated Sorted Genetic Algorithm (MNSGA-II) and Modified Population Variant Differential Evolution(MPVDE) have been placed in effect in achieving the best optimal solution of Multiobjective economic emission load dispatch optimization problem. In this technique latter, one is used to enforce the assigned percent of the population and the remaining with the former one. To overcome the premature convergence in an optimization problem diversity preserving operator is employed, from the tradeoff curve the best optimal solution is predicted using fuzzy set

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10

Singh, Nagendra, Tulika Chakrabarti, Prasun Chakrabarti, et al. "A New PSO Technique Used for the Optimization of Multiobjective Economic Emission Dispatch." Electronics 12, no. 13 (2023): 2960. http://dx.doi.org/10.3390/electronics12132960.

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Most power is generated using fossil fuels like coal, natural gas, and diesel. The contribution of coal to power generation is very high compared to other sources. Almost all thermal power plants use coal as a fuel for power generation. Such sources of fossil fuels are limited and thus the cost of power generation increases. At the same time, the induced toxic gases due to these fossil fuels pollute the environment. The objective of this work is to solve the economic emission dispatch problem. Economic emission dispatch helps to find out how to operate power plants at the minimum cost and indu

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