摘要
在国家能源战略的推动下,未来光伏等新能源接入配网的情况将日益增加,准确评估其接入配网后的越限风险具有重要意义。为了合理评估光伏并网后产生的影响,文中在考虑光伏发电的随机性及负荷波动性的前提下,提出基于最大熵原理求解含光伏配网系统的概率潮流,并结合效用偏好指数型函数表征越限严重度,构建起电压越限风险综合评估模型。以IEEE 33节点系统为例,对比蒙特卡洛模拟法求解概率潮流,最大熵原理在拟合电压概率密度具有准确性及高效性。同时通过仿真结果表明合理选择接入点及接入容量能有效降低整个配网的越限风险,提高了配网的安全稳定运行能力,为今后新能源并网风险评估提供参考。
Driven by the national energy strategy,the access of new energy such as photovoltaic to the distribution network will increase day by day.It is of great significance to accurately evaluate the risk of voltage violation when photovoltaic is connected to the distribution network.In order to reasonably evaluate the impact of photovoltaic grid connection,on the premise of considering the randomness of photovoltaic output and the fluctuation of load,a probabilistic flow method based on maximum entropy principle is proposed to solve the problems of photovoltaic access to distribution network system in this paper.Furthermore,combined with the utility preference exponential function to characterize voltage violation severity,a comprehensive model of risk evaluation of voltage violation is constructed.Taking IEEE 33-node system as an example,it is more accurate and efficient in fitting voltage probability density by using the maximum entropy principle than Monte Carlo simulation method.Meanwhile,the simulation results show that the reasonable selection of access point and access capacity can effectively reduce the risk of voltage violation of the whole distribution network,and improve the safe and stable operation ability of the distribution network,which provides a reference for the risk assessment of new energy grid connection in the future.
作者
陈书樑
曾江
马海杰
CHEN Shuliang;ZENG Jiang;MA Haijie(School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China;Guangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid,Guangzhou 510663,China)
出处
《电测与仪表》
北大核心
2024年第11期76-83,共8页
Electrical Measurement & Instrumentation
基金
广东省自然科学基金资助项目(2021A1515012616)。
关键词
概率潮流
最大熵原理
分布式光伏
电压风险评估
probabilistic flow
maximum entropy principle
distributed photovoltaic
voltage risk assessment
