Multiobjective Demand Double-Layer Energy Consumption Optimization Strategy for Microgrid Based on Improved HPSOFA
In order to optimize the economy and environmental protection of microgrid, this paper establishes a demand response model based on comprehensive satisfaction, combines the advantages of the classical multiobjective particle swarm algorithm and multiobjective firefly algorithm, and proposes a hybrid...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/1964666 |
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| _version_ | 1850162980523606016 |
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| author | Bin Zhang Jue Wang Bo Li |
| author_facet | Bin Zhang Jue Wang Bo Li |
| author_sort | Bin Zhang |
| collection | DOAJ |
| description | In order to optimize the economy and environmental protection of microgrid, this paper establishes a demand response model based on comprehensive satisfaction, combines the advantages of the classical multiobjective particle swarm algorithm and multiobjective firefly algorithm, and proposes a hybrid particle swarm optimization and firefly algorithm (HPSOFA) to solve the joint economic and environmental dispatch problem of microgrid and improve the wind and light consumption capacity. The proposed improved algorithm introduces a random perturbation term and adaptive learning coefficients, and the algorithm is selected by the dominance relationship of individuals, which improves the diversity of populations and increases the possibility of the algorithm to solve the global optimum. The proposed algorithm is used to solve the test functions of different dimensions, and the results show that the Pareto front of HPSOFA has better distribution and accuracy, which verifies the effectiveness of the proposed algorithm. Simulation analysis is carried out using power data from a region of Liaoning Province, China, and experiments conclude that the operating cost and environmental cost of HPSOFA are significantly lower than other algorithms. |
| format | Article |
| id | doaj-art-ef0e8efdab984d1f82a0d641bfaca3ba |
| institution | OA Journals |
| issn | 2050-7038 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-ef0e8efdab984d1f82a0d641bfaca3ba2025-08-20T02:22:25ZengWileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/1964666Multiobjective Demand Double-Layer Energy Consumption Optimization Strategy for Microgrid Based on Improved HPSOFABin Zhang0Jue Wang1Bo Li2School of Information Science and EngineeringSchool of Information Science and EngineeringSchool of Information Science and EngineeringIn order to optimize the economy and environmental protection of microgrid, this paper establishes a demand response model based on comprehensive satisfaction, combines the advantages of the classical multiobjective particle swarm algorithm and multiobjective firefly algorithm, and proposes a hybrid particle swarm optimization and firefly algorithm (HPSOFA) to solve the joint economic and environmental dispatch problem of microgrid and improve the wind and light consumption capacity. The proposed improved algorithm introduces a random perturbation term and adaptive learning coefficients, and the algorithm is selected by the dominance relationship of individuals, which improves the diversity of populations and increases the possibility of the algorithm to solve the global optimum. The proposed algorithm is used to solve the test functions of different dimensions, and the results show that the Pareto front of HPSOFA has better distribution and accuracy, which verifies the effectiveness of the proposed algorithm. Simulation analysis is carried out using power data from a region of Liaoning Province, China, and experiments conclude that the operating cost and environmental cost of HPSOFA are significantly lower than other algorithms.http://dx.doi.org/10.1155/2023/1964666 |
| spellingShingle | Bin Zhang Jue Wang Bo Li Multiobjective Demand Double-Layer Energy Consumption Optimization Strategy for Microgrid Based on Improved HPSOFA International Transactions on Electrical Energy Systems |
| title | Multiobjective Demand Double-Layer Energy Consumption Optimization Strategy for Microgrid Based on Improved HPSOFA |
| title_full | Multiobjective Demand Double-Layer Energy Consumption Optimization Strategy for Microgrid Based on Improved HPSOFA |
| title_fullStr | Multiobjective Demand Double-Layer Energy Consumption Optimization Strategy for Microgrid Based on Improved HPSOFA |
| title_full_unstemmed | Multiobjective Demand Double-Layer Energy Consumption Optimization Strategy for Microgrid Based on Improved HPSOFA |
| title_short | Multiobjective Demand Double-Layer Energy Consumption Optimization Strategy for Microgrid Based on Improved HPSOFA |
| title_sort | multiobjective demand double layer energy consumption optimization strategy for microgrid based on improved hpsofa |
| url | http://dx.doi.org/10.1155/2023/1964666 |
| work_keys_str_mv | AT binzhang multiobjectivedemanddoublelayerenergyconsumptionoptimizationstrategyformicrogridbasedonimprovedhpsofa AT juewang multiobjectivedemanddoublelayerenergyconsumptionoptimizationstrategyformicrogridbasedonimprovedhpsofa AT boli multiobjectivedemanddoublelayerenergyconsumptionoptimizationstrategyformicrogridbasedonimprovedhpsofa |