摘要
电-气互联型主动配电网作为能源利用的重要形式,其故障恢复对于提升系统供电可靠性至关重要。针对电-气互联型主动配电网故障恢复问题,计及系统不确定性采用鲁棒优化理论建立故障恢复方法。模型以风光出力和故障恢复方案分别为自然决策者和系统决策者,令两者进行博弈。其中以最大化失电负荷量为目标函数,计及区间形式不确定性约束建立自然决策者模型。以最小化失电负荷量,计及电气互联约束、电能网络辐射状约束,功率平衡约束、电能网络运行约束建立系统决策者模型。基于两阶段松弛法设计故障恢复鲁棒优化模型的求解步骤。最后通过一个算例验证了所建立模型的有效性。
Fault recovery in an integrated electricity and natural-gas Active Distribution Network(ADN)is very important for improving the reliability of the system.To solve the problem of fault recovery in an integrated electricity and natural-gas ADN,a robust optimization theory is used considering system uncertainty.In the model,the wind photovoltaic output and the fault recovery scheme are considered as natural decision-makers and system decision-makers respectively to make them game.The natural decision-maker model is established with maximizing the power loss load as the objective function,taking into account the uncertainty constraints of the interval form;the system decision-maker model is established with minimizing the power loss load,taking into account the constraints of electricity and natural-gas integration,and radiation,power balance and operation constraints of the electrical energy network.Based on a two-stage relaxation method,the solution steps for the robust optimization model are designed.Finally,an example is given to verify the validity of the model.
作者
刘家权
刘珅
周金涛
李亚国
赵丽萍
LIU Jiaquan;LIU Shen;ZHOU Jintao;LI Yaguo;ZHAO Liping(State Grid Chongqing Electric Power Corporation,Chongqing 400000,China;State Grid Jibei Electric Power Corporation,Beijing 100000,China;Smart Distribution Network Center,State Grid Jibei Electric Power Corporation,Qinhuangdao 066100,China;State Grid Shanxi Electric Power Corporation,Taiyuan 030021,China;Zhangjiakou Power Supply Company,State Grid Jibei Electric Power Corporation,Zhangjiakou 075001,China)
出处
《电力系统保护与控制》
CSCD
北大核心
2021年第7期66-74,共9页
Power System Protection and Control
基金
国家自然科学基金项目资助(61873225)
河北省自然科学基金京津冀合作专项项目资助(F2016203507)。
关键词
电-气互联
主动配电网
故障恢复
鲁棒优化
两阶段松弛法
electricity gas interconnection
active distribution network
fault recovery
robust optimization
two-stage relaxation method
