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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (5): 36-44.DOI: 10.19912/j.0254-0096.tynxb.2020-0938

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考虑灵活性供需匹配的孤岛微网优化调度策略

冉金周, 李华强, 李彦君, 李扬帆   

  1. 四川大学电气工程学院,成都 610065
  • 收稿日期:2020-09-07 出版日期:2022-05-28 发布日期:2022-11-28
  • 通讯作者: 李华强(1965—),男,博士、教授,主要电网规划与优化运行、电力系统稳定性等方面的研究。lihuaqiang@scu.edu.cn
  • 基金资助:
    国家电网公司科技项目(521996180007)

OPTIMAL SCHEDULING OF ISOLATED MICROGRID CONSIDERING FLEXIBLE POWER SUPPLY AND DEMAND

Ran Jinzhou, Li Huaqiang, Li Yanjun, Li Yangfan   

  1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China
  • Received:2020-09-07 Online:2022-05-28 Published:2022-11-28

摘要: 为使孤岛微网能更大程度地实现源侧发电功率与荷侧用电需求之间的匹配程度,以灵活性理论为依据,提出考虑灵活性供需匹配的优化调度模型。以最大化经济效益和最大化灵活性供需匹配程度为目标,利用多目标粒子群优化算法得到该优化问题的Pareto解集,并从中选取更符合实际需求的解。算例仿真结果表明,所提优化调度策略能有效提升系统应对可再生能源发电机组出力的波动性与随机性的能力,提高经济效益。

关键词: 微电网, 可再生能源, 有功调度, 孤岛, 多目标优化

Abstract: In order to enable the isolated microgrid to achieve a greater degree of matching between the source-side power and the load-side power, based on the flexibility theory, an optimal scheduling model considering the matching of the flexible supply and demand is proposed. With the goal of maximizing economic benefits and maximizing the degree of flexibility in matching between supply and demand, the multi-objective particle swarm optimization algorithm is used to obtain the Pareto solution set of the optimization problem, and a solution that is more in line with actual needs is selected. The simulation results show that the proposed optimal scheduling strategy can effectively improve the system’s ability to deal with the volatility and randomness of the output of renewable energy generator sets, and improve economic benefits.

Key words: microgrids, renewable energy, electric load dispatching, island, multiobjective optimisation

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