Academic literature on the topic 'Microgrid clusters'

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Journal articles on the topic "Microgrid clusters"

1

Sampath Ediriweera, W. E. P., and N. W. A. Lidula. "Design and protection of microgrid clusters: A comprehensive review." AIMS Energy 10, no. 3 (2022): 375–411. http://dx.doi.org/10.3934/energy.2022020.

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<abstract> <p>A microgrid is a concept that has been developed with the increasing penetration of distributed generators. With the increasing penetration of distributed energy resources in the microgrids, along with advanced control and communication technologies, the traditional microgrid concept is being transited towards the concept of microgrid clustering. It decomposes the distribution system into several interconnected microgrids, effectively reducing problems such as voltage rise, harmonics, poor power factor, reverse power flow and failure of the conventional protection sch
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2

Zhao, Ensheng, Yang Han, Hao Zeng, et al. "Accurate Peer-to-Peer Hierarchical Control Method for Hybrid DC Microgrid Clusters." Energies 16, no. 1 (2022): 421. http://dx.doi.org/10.3390/en16010421.

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Hybrid DC microgrid clusters contain various types of converters such as BOOST, BUCK, and bidirectional DC/DC converters, making the control strategy complex and difficult to achieve plug-and-play. The common master–slave hierarchical control strategy makes it difficult to achieve accurate and stable system control. This paper proposes an accurate peer-to-peer hierarchical control method for the hybrid DC microgrid cluster, and the working principle of this hierarchical control method is analyzed in detail. The microgrid cluster consists of three sub-microgrids, where sub-microgrid A consists
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3

Kunikowski, Grzegorz. "Electricity Storage in Energy Clusters." Transactions on Aerospace Research 2018, no. 4 (2018): 25–37. http://dx.doi.org/10.2478/tar-2018-0027.

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Abstract The article aims to present the results of analysis and evaluation of using energy clusters as a bulk electricity storage. There were developed an analytical model of a sample microgrid (on-grid) and analysed using a software dedicated for optimizing such microgrids. The model of microgrid consist on electricity commercial and residential loads, photovoltaic and wind installations and batteries.
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4

Khanbaghi, Maryam, and Aleksandar Zecevic. "Stochastic Distributed Control for Arbitrarily Connected Microgrid Clusters." Energies 15, no. 14 (2022): 5163. http://dx.doi.org/10.3390/en15145163.

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Due to the success of single microgrids, the coming years are likely to see a transformation of the current electric power system to a multiple microgrid network. Despite its obvious promise, however, this paradigm still faces many challenges, particularly when it comes to the control and coordination of energy exchanges between subsystems. In view of that, in this paper we propose an optimal stochastic control strategy in which microgrids are modeled as stochastic hybrid dynamic systems. The optimal control is based on the jump linear theory and is used as a means to maximize energy storage a
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5

langchao, He, Wu Lizhen, Chen Wei, and Hao Xiaohong. "Research on Bi-level Coordinated Optimal Dispatching Strategy for Microgrid Cluster." E3S Web of Conferences 256 (2021): 01045. http://dx.doi.org/10.1051/e3sconf/202125601045.

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The interconnection of multiple microgrids can form a microgrid cluster (MGC). The economic benefit and operation reliability of the whole system can be improved through the energy mutual-aid and coordination control between microgrids. This paper proposes a bi-level coordinated optimal dispatching strategy for microgrid clusters. The upper layer aims to minimize the operating costs of the microgrid cluster system and the power fluctuation of the tie lines. The exchange power and generation power of each sub-microgrid are coordinated and controlled, which are sent to the lower level model as s
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6

Albaker, Abdullah, Mansoor Alturki, Rabeh Abbassi, and Khalid Alqunun. "Zonal-Based Optimal Microgrids Identification." Energies 15, no. 7 (2022): 2446. http://dx.doi.org/10.3390/en15072446.

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Even though many studies have been deployed to determine the optimal planning and operation of microgrids, limited research was discussed to determine the optimal microgrids’ geographical boundaries. This paper proposes a zonal-based optimal microgrid identification model aiming at identifying the optimal microgrids topology in the current distribution systems through zoning the network into several clusters. In addition, the proposed model was developed as a mixed-integer linear programming (MILP) problem that identifies the optimal capacity and location of installing distributed energy resou
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7

Pan, Xuewei, Fan Yang, Peiwen Ma, Yijin Xing, Jinye Zhang, and Lingling Cao. "A Game-Theoretic Approach of Optimized Operation of AC/DC Hybrid Microgrid Clusters." Energies 15, no. 15 (2022): 5537. http://dx.doi.org/10.3390/en15155537.

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To maximize the benefits of microgrid clusters, a general model and analysis method for studying the optimized operation of AC/DC microgrid clusters using non-cooperative games is proposed. This paper first establishes the optimized objective function of an AC/DC microgrid for economic operations. Based on the supply and demand theory, the dynamic adjustment mechanism of electricity price is introduced into microgrid clusters, and a game model for the optimal operation of multiple microgrids is established. The Nash equilibrium solution of the established model is obtained by iterative search
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8

Rajendran Pillai, Vipin Raj, Rohit Rajasekharan Nair Valsala, Veena Raj, Muhammed Iskandar Petra, Satheesh Kumar Krishnan Nair, and Sathyajith Mathew. "Exploring the Potential of Microgrids in the Effective Utilisation of Renewable Energy: A Comprehensive Analysis of Evolving Themes and Future Priorities Using Main Path Analysis." Designs 7, no. 3 (2023): 58. http://dx.doi.org/10.3390/designs7030058.

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Microgrids are energy systems that can operate independently or in conjunction with the main electricity grid. Their purpose is to link different energy sources, enhance customer participation in energy markets, and improve energy system efficiency and flexibility. However, regulatory, technical, and financial obstacles hinder their deployment. To comprehend the current state of the field, this study utilized citation network analysis (CNA) methodology to examine over 1500 scholarly publications on microgrid research and development (R&D). The study employed modularity-based clustering ana
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9

Rostami, Ziba, Sajad Najafi Ravadanegh, Navid Taghizadegan Kalantari, Josep M. Guerrero, and Juan C. Vasquez. "Dynamic Modeling of Multiple Microgrid Clusters Using Regional Demand Response Programs." Energies 13, no. 16 (2020): 4050. http://dx.doi.org/10.3390/en13164050.

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Preserving the frequency stability of multiple microgrid clusters is a serious challenge. This work presents a dynamic model of multiple microgrid clusters with different types of distributed energy resources (DERs) and energy storage systems (ESSs) that was used to examine the load frequency control (LFC) of microgrids. The classical proportional integral derivative (PID) controllers were designed to tune the frequency of microgrids. Furthermore, an imperialist competitive algorithm (ICA) was proposed to investigate the frequency deviations of microgrids by considering renewable energy resour
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10

Venkata Pavan Kumar, Yellapragada, Sivakavi Naga Venkata Bramareswara Rao, and Ramani Kannan. "Islanding Detection in Grid-Connected Urban Community Multi-Microgrid Clusters Using Decision-Tree-Based Fuzzy Logic Controller for Improved Transient Response." Urban Science 7, no. 3 (2023): 72. http://dx.doi.org/10.3390/urbansci7030072.

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The development of renewable-energy-based microgrids is being considered as a potential solution to lessen the unrelenting burden on the centralized utility grid. Furthermore, recent studies reveal that integrated multi-microgrid cluster systems developed in urban communities maximize the effectiveness of microgrids and greatly decrease the utility grid dependence. However, due to the uncertain nature of renewable energy sources and frequent load variations, these systems face issues with unintentional islanding operations. This can create severe damage to the microgrid’s performance in its st
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