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计及电动汽车不确定性的虚拟电厂参与AGC调频服务研究 被引量:49

Virtual Power Plants Providing AGC FM Service Considering Uncertainty of Electric Vehicles
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摘要 电动汽车用户出行和响应的不确定性,为调度电动汽车参与自动发电控制(automaticgenerationcontrol,AGC)带来了挑战。基于此,采用经验模态分解法将火电机组调频偏差分解为高频、中频和低频部分,作为超级电容器、蓄电池以及可入网电动汽车(plug-in electric vehicle,PEV)的参考出力功率。建立了基于韦伯-费希纳定律的PEV用户响应模型,并引入PEV响应偏差阈值的概念,实现PEV赔偿风险—收益之间的平衡。以AGC调频效果最好及净收益期望最高为目标,建立含火电机组、混合储能系统及PEV的虚拟电厂参与AGC调频决策模型,采用改进的遗传算法对混合储能系统进行优化配置并优化调度虚拟电厂各部分的出力,制定了各时段PEV充放电补偿电价。算例结果表明,该模型能够显著提高AGC调频效果,且通过合理设置PEV响应偏差阈值,能最大化净收益期望值。 The uncertainties of electric vehicles travelling and responding have posed challenges for electric vehicles to realize AGC-FM.Therefore,in this paper,the empirical mode decomposition method is adapted to decompose the deviation of thermal power unit frequency modulation into high frequency,medium frequency and low frequency modes,which can be respectively used as the reference output power of the supercapacitor,the battery and the electric vehicle.A user response model of electric vehicle is then established based on the Weber-Feichner law,and the tradeoff between the compensation risk and the profit of the electric vehicles can be realized by introducing the concept of response deviation threshold.To achieve the best AGC FM result and the highest net expectations earnings,a virtual power plant decision-making model is further developed including the thermal power unit,the hybrid energy storage system and the AGC FM electric vehicles.Also,the compensation prices of the electric vehicle in different periods are gained through the improved genetic algorithm based optimization to the configuration of hybrid energy storage system and the output power of each part in the virtual plant.The example results show that this model can significantly improve the effect of AGC frequency modulation,and maximize the expected net income by setting the appropriate response deviation threshold of the electric vehicles.
作者 袁桂丽 苏伟芳 YUAN Guili;SU Weifang(School of Control and Computer Engineering,North China Electric Power University,Changping District,Beijing 102206,China)
出处 《电网技术》 EI CSCD 北大核心 2020年第7期2538-2548,共11页 Power System Technology
关键词 虚拟电厂 AGC调频 车电互联技术 经验模态分解 不确定性 virtual power plant AGC FM vehicle to grid technology empirical mode decomposition uncertainty
作者简介 通讯作者:苏伟芳(1995),女,硕士研究生,研究方向为虚拟电厂参与电力市场辅助服务研究,E-mail:1172227125@ncepu.edu.cn;袁桂丽(1971),女,教授,研究方向为先进控制理论及其在电力系统中的研究,E-mail:ygl@ncepu.edu.cn。
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