摘要
分布式光伏和风电等分布式电源的大量并网、电力信息物理系统(CPS)的快速发展等对电力系统的运行调度带来不可估算的影响,针对紧急状态下提高电力系统供电可靠性的问题,该文提出面向主配一体化电网的负荷转供方法。首先,考虑光伏和风电自身特点建立分布式发电模型;其次,根据负荷重要性对负荷进行分类,并计及通讯延时计算负荷恢复率;然后,以切负荷与网损为目标函数,并考虑网络约束,通过构建遗传算法对目标函数寻优求解;最后,在电力CPS联合仿真平台上进行验证,结果表明所提方法能更接近实际运行工况,具有更好的负荷恢复效果,从而减小社会经济损失。
The large-scale distributed generation such as distributed photovoltaic and wind power integration and the rapid development of power cyber and physical system(CPS)bring incalculable influence on the operation and dispatch of power system.Aiming at the problem of improving the reliability of power supply in emergency state,this paper puts forward a load transfer method oriented to the integration of transmission and distribution networks.Firstly,the distributed generation model is established considering the characteristics of photovoltaic and wind power.Secondly,the load is classified according to the importance of the load,and the recovery rate of the load is calculated by taking the communication delay into account.Then,taking load shedding and network loss as objective functions and considering network constraints,genetic algorithm is constructed to optimize the objective function.Finally,verification is carried out on the power CPS co-simulation platform,the results show that the proposed method is closer to the actual operating conditions and has a better load recovery effect,thus reducing socio-economic losses.
作者
杨志淳
沈煜
杨帆
张顺道
戴剑丰
Yang Zhichun;Shen Yu;Yang Fan;Zhang Shundao;Dai Jianfeng(State Grid Hubei Electric Power Research Institute,Wuhan 430077,China;School of Electrical Engineering,Southeast University,Nanjing 210096,China;College of Automation&College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210032,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2023年第11期530-537,共8页
Acta Energiae Solaris Sinica
基金
国家电网公司总部科技项目(5400-202122147A-0-0-00)。
关键词
光伏发电
风电
分布式发电
信息物理系统
遗传算法
负荷转供
PV power
wind power
distributed generation
cyber physical system
genetic algorithms
load transfer