Multi-objective optimal decision for orderly power utilization based on improved ε-constraint method in active distribution networks

With the increasing demand for electricity load in China, orderly power utilization are important measures to alleviate electricity shortages during peak periods. This article establishes a multi-objective optimization model for orderly power utilization in active distribution networks is establishe...

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Veröffentlicht in:PloS one 2024-10, Vol.19 (10), p.e0309437
Hauptverfasser: Wen, Xin, Li, Hui, Wu, Xiaoqiang, Li, Yiwei, Siliang, Liu, Huang, Guohua
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container_start_page e0309437
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Li, Hui
Wu, Xiaoqiang
Li, Yiwei
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description With the increasing demand for electricity load in China, orderly power utilization are important measures to alleviate electricity shortages during peak periods. This article establishes a multi-objective optimization model for orderly power utilization in active distribution networks is established, with the optimization objectives of minimizing the total operation cost, minimizing the cost for users, and minimizing the load fluctuation of the system. This model contains a large number of integer variables and nonlinear constraints, which is difficult to solve. To reduce computation time, convex relaxation techniques are adopted to transform the original model into a mixed-integer second-order cone programming (MISOCP) model, which has lower computational complexity. Furthermore, The improved ε-constraint method is proposed to solve the model, which can directly and quickly find the compromise optimal solution of the multi-objective problem. By using simplex search algorithm, the proposed method dose not need to traverse all grid points, which can significantly reduce computation time. Finally, case study on the the IEEE-33 bus distribution network demonstrate the effectiveness of the proposed method.
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This article establishes a multi-objective optimization model for orderly power utilization in active distribution networks is established, with the optimization objectives of minimizing the total operation cost, minimizing the cost for users, and minimizing the load fluctuation of the system. This model contains a large number of integer variables and nonlinear constraints, which is difficult to solve. To reduce computation time, convex relaxation techniques are adopted to transform the original model into a mixed-integer second-order cone programming (MISOCP) model, which has lower computational complexity. Furthermore, The improved ε-constraint method is proposed to solve the model, which can directly and quickly find the compromise optimal solution of the multi-objective problem. By using simplex search algorithm, the proposed method dose not need to traverse all grid points, which can significantly reduce computation time. Finally, case study on the the IEEE-33 bus distribution network demonstrate the effectiveness of the proposed method.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39446755</pmid><doi>10.1371/journal.pone.0309437</doi><orcidid>https://orcid.org/0009-0009-3690-3993</orcidid><oa>free_for_read</oa></addata></record>
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subjects Algorithms
Alternative energy
China
Computation
Constraints
Consumption
Decision making
Electric power demand
Electric power distribution
Electric Power Supplies
Electrical loads
Electricity
Energy storage
Engineering and Technology
Fines & penalties
Load distribution
Load fluctuation
Methods
Mixed integer
Models, Theoretical
Multiple objective analysis
Operating costs
Optimization models
Optimization techniques
Pareto optimum
Peak periods
Physical Sciences
Power supply
Renewable resources
Search algorithms
Utilization
Wind farms
title Multi-objective optimal decision for orderly power utilization based on improved ε-constraint method in active distribution networks
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