Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage
Based on the intelligent bidirectional interactive technology, this paper studies the flexible working mode and optimal power consumption strategy of several typical power consumption loads including energy storage equipment. Based on the real-time price scheme, the objective function and constraint...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8896612 |
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| _version_ | 1832561184129155072 |
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| author | Hengjing He Shangli Zhou Leping Zhang Junhong Lin Weile Chen Di Wu |
| author_facet | Hengjing He Shangli Zhou Leping Zhang Junhong Lin Weile Chen Di Wu |
| author_sort | Hengjing He |
| collection | DOAJ |
| description | Based on the intelligent bidirectional interactive technology, this paper studies the flexible working mode and optimal power consumption strategy of several typical power consumption loads including energy storage equipment. Based on the real-time price scheme, the objective function and constraints are obtained, and the adaptive algorithm for beetle swarm optimization with variable whisker length is used to optimize so that the electric equipment can automatically change its power load through the intelligent terminal and even work in the way of reverse power transmission. The proposed optimal scheduling algorithm can not only maximize the interests of users but also ensure the minimum peak to average ratio so as to realize peak shaving and valley filling. Simulation results verify the effectiveness of the algorithm. |
| format | Article |
| id | doaj-art-e9eb8af1ac88414382c57eb132b929ba |
| institution | Kabale University |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-e9eb8af1ac88414382c57eb132b929ba2025-02-03T01:25:46ZengWileyJournal of Control Science and Engineering1687-52491687-52572020-01-01202010.1155/2020/88966128896612Beetle Swarm Optimization Algorithm-Based Load Control with Electricity StorageHengjing He0Shangli Zhou1Leping Zhang2Junhong Lin3Weile Chen4Di Wu5Digital Grid Research Institute, CSG, Guangzhou 510663, ChinaDigital Grid Research Institute, CSG, Guangzhou 510663, ChinaDigital Grid Research Institute, CSG, Guangzhou 510663, ChinaDigital Grid Research Institute, CSG, Guangzhou 510663, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, ChinaBased on the intelligent bidirectional interactive technology, this paper studies the flexible working mode and optimal power consumption strategy of several typical power consumption loads including energy storage equipment. Based on the real-time price scheme, the objective function and constraints are obtained, and the adaptive algorithm for beetle swarm optimization with variable whisker length is used to optimize so that the electric equipment can automatically change its power load through the intelligent terminal and even work in the way of reverse power transmission. The proposed optimal scheduling algorithm can not only maximize the interests of users but also ensure the minimum peak to average ratio so as to realize peak shaving and valley filling. Simulation results verify the effectiveness of the algorithm.http://dx.doi.org/10.1155/2020/8896612 |
| spellingShingle | Hengjing He Shangli Zhou Leping Zhang Junhong Lin Weile Chen Di Wu Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage Journal of Control Science and Engineering |
| title | Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage |
| title_full | Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage |
| title_fullStr | Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage |
| title_full_unstemmed | Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage |
| title_short | Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage |
| title_sort | beetle swarm optimization algorithm based load control with electricity storage |
| url | http://dx.doi.org/10.1155/2020/8896612 |
| work_keys_str_mv | AT hengjinghe beetleswarmoptimizationalgorithmbasedloadcontrolwithelectricitystorage AT shanglizhou beetleswarmoptimizationalgorithmbasedloadcontrolwithelectricitystorage AT lepingzhang beetleswarmoptimizationalgorithmbasedloadcontrolwithelectricitystorage AT junhonglin beetleswarmoptimizationalgorithmbasedloadcontrolwithelectricitystorage AT weilechen beetleswarmoptimizationalgorithmbasedloadcontrolwithelectricitystorage AT diwu beetleswarmoptimizationalgorithmbasedloadcontrolwithelectricitystorage |