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基于NSGA-Ⅱ和博弈理论的主动式配电网多目标优化调度 被引量:4

Multi-objective optimal dispatching of active distribution network based on NSGA-Ⅱ and game theory
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摘要 为保证主动式配电网经济运行并改善负荷曲线,提出一种主动式配电网多目标优化调度方法.选取含分布式电源的主动配电网综合运行成本最低和负荷曲线方差最小为优化目标,以系统功率平衡、电源出力、爬坡率等为约束,构建含分布式电源的主动式配电网多目标优化模型.使用改进的非劣排序遗传算法(NSGA-Ⅱ)与博弈论相结合的求解方法计算最优解.算例仿真结果表明该方法具有可行性和有效性. In order to ensure the economical operation of the active distribution network and improve the load curve, a multi-objective optimal dispatching method for active distribution network was proposed. The minimum comprehensive operation cost and minimum load curve variance of active distribution network with distributed generation were selected as the optimization objectives, and the system power balance, power output and slope climbing rate were taken as the constraints. The multi-objective optimization model of active distribution network with distributed generation was constructed. The optimal solution was calculated by using the improved non-inferior sorting genetic algorithm(NSGA-Ⅱ) combined with game theory. Numerical simulation results showed that the method was feasible and effective.
作者 谢千焱 李凤婷 丁坤 辛超山 XIE Qianyan;LI Fengting;DING Kun;XIN Chaoshan(Engineering Research Center for Renewable Energy Power Generation and Grid Technology,Ministry of Education,Xinjiang University,Urumqi 830047,China;Wind Power Technology Center,State Grid Gansu Electric Power Co.,Ltd.,Lanzhou 730050,China;Economic Technology Research Institute,State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830000,China)
出处 《安徽大学学报(自然科学版)》 CAS 北大核心 2019年第5期68-75,共8页 Journal of Anhui University(Natural Science Edition)
基金 国家自然科学基金资助项目(51767023,51877185)
关键词 分布式发电 主动式配电网 博弈论 多目标优化 削峰填谷 distributed generation active distribution network game theory multi-objective optimization peak shaving and valley filling
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