基于最优切负荷模型的含多微能网电力系统可靠性评估  

Reliability Evaluation of Power Systems with Multi-micro Micro-energy Network Based on Optimal Load Cutting Model

作　　者：高明 白宇 刘艳茹 田寿涛 许叶林 宋海明 GAO Ming;BAI Yu;LIU Yanru;TIAN Shoutao;XU Yelin;SONG Haiming(Institute of Economy and Technology,State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830010,China;State Grid Economics and Technology Research Institute Co.,Ltd.,Taiyuan 030002,China)

机构地区：[1]国网新疆电力有限公司经济技术研究院,新疆乌鲁木齐830010 [2]国网经济技术研究院有限公司,山西太原030002

出　　处：《微型电脑应用》2023年第4期31-34,共4页Microcomputer Applications

基　　金：国网新疆电力有限公司科技项目(5230JY200010)。

摘　　要：针对多微能网的电力系统可靠性评价,建立了以多微能网实现的综合能源电网(IES)可靠性评价算法。分析微能网渗透率以及可控性因素引起的IES运行稳定性的差异,再对模型有效性进行算例验证。研究结果表明,在微能网渗透率介于0~20%时,提高微能网渗透率后,失负荷概率(LLP)、供能不足期望(NEE)、需求响应不足期望(NDE)都会持续降低。随着微能网可控性的提升,系统获得了更高可靠性。当控制成本提高时,微能网对系统可靠性保持相对稳定的贡献系数引起可靠性收益减小。结果验证了基于最优切负荷模型的含多微能网电力系统可靠性评估的准确性。该研究对提高电力系统受到外部扰动影响下评估效率具有很好的指导意义。Considering the reliability evaluation of power system with multi-micro micro-energy network,an IES reliability evaluation algorithm based on multi-micro micro-energy network is established.The difference of IES operation stability caused by the permeability and controllability of micro-energy network is analyzed,and the effectiveness of the model is verified by a numerical example.The results show that when the micro-energy network permeability is between 0%~20%,LLP,NDE and NDE decrease continuously after increasing the micro-energy network permeability.With the improvement of the controllability of the micro-energy network,the system obtains higher reliability.When the control cost increases,the contribution coefficient of micro-energy network to system reliability remains relatively stable,resulting in the decrease of reliability benefit.The results verify the accuracy of the reliability evaluation of power system with multi-micro micro-energy network based on the optimal load cutting model,which has a good guiding significance for improving the evaluation efficiency of power system under the influence of external sudden disturbance.

关 键 词：电力系统 微能网 评估分析 最优切负荷模型 贡献系数 

分 类 号：TM76[电气工程—电力系统及自动化]