Research on Coordination and Optimization of Large Scale Electric Vehicles Connected to Microgrid Using Improved Symbiotic Organisms Search Algorithm

doi:10.3969/j.issn.1008- 0198.2023.05.21

Hunan Electric Power ›› 2023, Vol. 43 ›› Issue (5): 144-150.doi: 10.3969/j.issn.1008- 0198.2023.05.21

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Research on Coordination and Optimization of Large Scale Electric Vehicles Connected to Microgrid Using Improved Symbiotic Organisms Search Algorithm

KANG Tong^1,2, ZHU Jiran^1,2, TANG Haiguo³, ZHOU Hengyi^1,2, ZHOU Kehui^1,2

1. State Grid Hunan Electric Power Company Limited Research Institute, Changsha 410208, China;
2. State Grid Corporation Laboratory of Intelligent Application Technology for Distribution Network, Changsha 410208, China;
3. Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China

Received:2023-04-23 Revised:2023-08-17 Online:2023-10-25 Published:2023-11-03

Abstract

Abstract: Aiming at the optimization and coordination operation of electric vehicles connected to microgrid, the architecture, operation mode, output characteristics and mathematical model of microgrid including electric vehicles are analyzed , and the disorderly charging load model of electric vehicles is established by using Monte Carlo method. An objective function is established to minimize the comprehensive cost and peak-valley difference of microgrid. To solve the complex, high-dimensional and model and enhance the performance of original symbiotic organisms search algorithm(SOS), a novel improved symbiotic organisms search algorithm algorithm(ImSOS)is proposed. In ImSOS, a quasi-reflection-based learning scheme is employed in the population initialization step of original SOS. Moreover, the strategy of the modifications of benefit factors is used in the mutualism phase of SOS. A strategy of narrowing the search range of randomly generated coefficients is adopted in the commensalism phase of SOS. Finally, by setting up scenarios of disordered charging and coordinated optimized operation of electric vehicles, the output comprehensive operating cost and peak-valley difference in microgrid are compared. The result presents the scientificity and effectiveness of the method proposed in this paper.

Key words: electric vehicles, microgrid, distributed generations, symbiotic organisms search algorithm, quasi-reflection-based learning mechanism

CLC Number:

TM714

KANG Tong, ZHU Jiran, TANG Haiguo, ZHOU Hengyi, ZHOU Kehui. Research on Coordination and Optimization of Large Scale Electric Vehicles Connected to Microgrid Using Improved Symbiotic Organisms Search Algorithm[J]. Hunan Electric Power, 2023, 43(5): 144-150.

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Research on Coordination and Optimization of Large Scale Electric Vehicles Connected to Microgrid Using Improved Symbiotic Organisms Search Algorithm

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