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基于NSGA-Ⅲ算法的光-水-火电机组AGC协调优化策略 被引量:13

AGC Coordination and Optimization Strategy of Photovoltaic-Hydropower-Thermal Power Units Based on NSGA-Ⅲ Algorithm
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摘要 随着建设新能源为主体型电网目标的提出,协调新能源主要形式之一的光伏发电系统配合传统水、火电同步机组参与电网频率调节是保证电网稳定运行的必要措施。针对包含光伏以及水火机组系统的二次调频过程,综合考虑系统中火电成本及污染,水电振动区等各类型机组在AGC环节中的特点,通过基于第三代非支配排序遗传算法(NSGA-Ⅲ)的多目标进化算法对各类型机组出力进行协调优化。最后,在DIgSILENT软件中,搭建了包含光伏并网系统以及调频环节的IEEE 39节点仿真系统,通过与传统比例分配策略的对比验证了所提优化策略的优越性。 As the goal of building new energy as main power grid is proposed,it is necessary to coordinate the new energy with photovoltaic-hydropower-thermal power units to participate in the grid frequency regulation,ensuring the grid stable operation.Targeting the secondary frequency control for system of the photovoltaic-hydropower-thermal power units,comprehensively considering the cost and pollution of the thermal power in the system,the characteristics of various types of units in automatic generation control(AGC)link,such as the vibration areas of the hydropower unit,third generation non-dominant sequencing genetic algorithm(NSGAⅢ)multi-objective evolutionary algorithm is used to coordinate and optimize the output of various types of the units.Finally,an IEEE39-bus simulation system with photovoltaic grid-connected system and frequency regulation link is established in DIgSILENT software,and the superiority of the proposed optimization strategy is verified by comparing the traditional proportional allocation strategy.
作者 韩锐 吴军 廖清芬 邱睿 郭子辉 黄文鑫 HAN Rui;WU Jun;LIAO Qingfen;QIU Rui;GUO Zihui;HUANG Wenxin(School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China)
出处 《智慧电力》 北大核心 2022年第1期45-52,共8页 Smart Power
基金 国家重点研发计划资助项目(2018YFB0904800)。
关键词 二次调频 自动发电控制 新能源 遗传算法 secondary frequency regulation AGC new energy genetic algorithm
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