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Performance Enhancement of distribution Systems via distribution network reconfiguration and Distributed Generator Allocation Considering Uncertain Environment

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Journal of Modern Power Systems and Clean Energy 2022年第3期10卷 647-655页

作者： Mina Naguib Walid A.Omran Hossam E.A.Talaat Electrical Power and Machines Department Ain Shams UniversityCairoEgypt Electrical Engineering Department Future University in EgyptCairoEgypton leave from Ain Shams UniversityCairoEgypt Electrical Engineering Department Future University in EgyptCairoEgypt

The emergence of dispersed generation,smart grids,and deregulated electricity markets has increased the focus on enhancing the performance of distribution *** paper proposes a method to reduce the energy loss and improve the reliability of distribution systems by performing distribution network reconfiguration(DNR)and distributed generator(DG)*** this study,the intermittent nature of renewable-based DGs and the load profile are considered using a probabilistic *** study investigates different annual plans based on the seasonal power profiles of DGs and the load to minimize the combined cost function of annual energy loss and annual energy not *** proposed method is implemented using the firefly algorithm(FA),which is one of the meta-heuristic optimization *** case studies are investigated using the IEEE 33-bus distribution system to highlight the effectiveness of the method.

关键词： Distributed generator allocation distribution network reconfiguration optimal power flow firefly algorithm energy loss reliability

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Sequential reconfiguration of Unbalanced distribution network with Soft Open Points Based on Deep Reinforcement Learning

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Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 107-119页

作者： Ziyang Yin Shouxiang Wang Qianyu Zhao Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China

With the large-scale distributed generations(DGs)being connected to distribution network(DN), the traditional day-ahead reconfiguration methods based on physical models are challenged to maintain the robustness and avoid voltage offlimits. To address these problems, this paper develops a deep reinforcement learning method for the sequential reconfiguration with soft open points(SOPs) based on real-time data. A statebased decision model is first proposed by constructing a Marko decision process-based reconfiguration and SOP joint optimization model so that the decisions can be achieved in ***, a deep reinforcement learning joint framework including branching double deep Q network(BDDQN) and multi-policy soft actor-critic(MPSAC) is proposed, which has significantly improved the learning efficiency of the decision model in multidimensional mixed-integer action space. And the influence of DG and load uncertainty on control results has been minimized by using the real-time status of the DN to make control decisions. The numerical simulations on the IEEE 34-bus and 123-bus systems demonstrate that the proposed method can effectively reduce the operation cost and solve the overvoltage problem caused by high ratio of photovoltaic(PV) integration.

关键词： Data-driven distribution network reconfiguration deep reinforcement learning distributed generation

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A compound objective reconfiguration of distribution networks using hierarchical encoded particle swarm optimization

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Journal of Central South University 2018年第3期25卷 600-615页

作者： WEN Juan TAN Yang-hong JIANG Lin XU Zu-hua College of Electrical and Information Engineering Hunan UniversityChangsha 410082China College of Electrical Engineering University of South ChinaHengyang 421000China

With the development of automation in smart grids,network reconfiguration is becoming a feasible approach for improving the operation of distribution systems.A novel reconfiguration strategy was presented to get the optimal configuration of improving economy of the system,and then identifying the important *** this strategy,the objectives increase the node importance degree and decrease the active power loss subjected to operational constraints.A compound objective function with weight coefficients is formulated to balance the conflict of the *** a novel quantum particle swarm optimization based on loop switches hierarchical encoded was employed to address the compound objective reconfiguration *** main contribution is the presentation of the hierarchical encoded scheme which is used to generate the population swarm particles of representing only radial connected *** the candidate solutions are feasible,the search efficiency would improve dramatically during the optimization process without tedious topology *** validate the proposed strategy,simulations are carried out on the test *** results are compared with other techniques in order to evaluate the performance of the proposed method.

关键词： distribution network reconfiguration node importance degree compound objective function hierarchical encoded

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Optimal distributed generation allocation in radial distribution systems considering customer-wise dedicated feeders and load patterns

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Journal of Modern Power Systems and Clean Energy 2015年第4期3卷 475-484页

作者： Neeraj KANWAR Nikhil GUPTA K.R.NIAZI Anil SWARNKAR Department of Electrical Engineering Malaviya National Institute of TechnologyJaipurIndia

distribution system planners usually provide dedicated feeders to its different class of customers,each of whom has its own characteristic load pattern which varies hourly and seasonally.A more realistic modeling should be devised by considering the daily and seasonal variations in the aggregate load patterns of different class of *** paper addresses a new methodology to provide integrated solution for the optimal allocation of distributed generations and network reconfiguration considering load patterns of *** objectives considered are to maximize annual energy loss reduction and to maintain a better node voltage *** algorithm(BA)is a new bio-inspired search algorithm which has shown an advance capability to reach into the promising region,but its exploration is *** problem is solved by proposing the improved BA(IBA).The proposed method is investigated on the benchmark IEEE 33-bus test distribution system and the results are very promising.

关键词： Load pattern Distributed generations distribution network reconfiguration Improved bat algorithm(IBA) Smart grid