摘要
为了给配电网中的分布式电源(distributed generation,DG)等要素实现“即插即用”提供理论依据,从宏观角度出发,建立考虑要素的“即插即用”的智能配电网一、二次协同体系。以DG为例,综合考虑负荷与DG功率变化、电压、线路容量、潮流倒送及DG功率因数等约束,提出一种计算分布式电源“即插即用”临界条件的数学模型,在考虑负荷及DG功率波动性的基础上提出一种临界条件执行策略。进一步通过理论分析,将临界条件模型中的约束条件进行等效化简,得到了一种求解DG“即插即用”临界条件的快速估算方法。以IEEE 33节点算例为例,对所提出的计算方法及简化算法进行对比分析,结果表明,所提的简化算法是可行的,能够实现对DG“即插即用”临界条件的快速估算。
In order to provide a theoretical basis for the realization of“plug and play”for distributed generation(DG)and other elements in the distribution network,from the macroscopic point of view,the first and second synergy systems of smart distribution networks that consider“plug and play”elements are established.Take distributed generation as an example,considering the constraints of load and DG power changes,voltage,line capacity,power flow reversal and DG power factor,a mathematical model for calculating the“plug and play”critical condition of distributed generation is proposed.And based on the consideration of load and DG power fluctuation,a critical condition execution strategy is proposed.Furthermore,through theoretical analysis,the constraint conditions in the critical condition model are equivalently simplified,and a fast estimation method for solving the“plug and play”critical conditions of DG is obtained.Taking the IEEE 33 nodes as an example,the proposed calculation method and simplified algorithm are compared and analyzed.The results show that the proposed simplified algorithm is feasible and can quickly estimate the DG“plug and play”critical conditions.
作者
姜臻
于力
黄彦璐
叶琳浩
郑爽
耿光飞
唐巍
JIANG Zhen;YU Li;HUANG Yanlu;YE Linhao;ZHENG Shuang;GENG Guangfei;TANG Wei(Electric Power Research Institute,China Southern Power Grid Co.,Ltd.,Guangzhou 510663,China;China Southern Power Grid Co.,Ltd.,Guangzhou 510663,China;College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China)
出处
《中国电力》
CSCD
北大核心
2020年第4期22-31,共10页
Electric Power
基金
中国南方电网有限责任公司科技项目(基于要素模块化的智能配电网一二次协同规划技术研究,ZBKJXM20180042)。
关键词
分布式电源
即插即用
临界条件
执行策略
distributed generation
plug and play
critical conditions
execution strategy