计及运行风险的电力系统优化调度方法  

Optimization Method for Power System Dispatching Considering Operation Risk

作　　者：李灿[1] 曾沅[1] 秦超[1] 宋云亭[2] 吉平[2] 吴威[3] 

机构地区：[1]天津大学智能电网教育部重点实验室,天津300072 [2]中国电力科学研究院,北京100192 [3]国网福建省电力有限公司经济技术研究院,福州350012

出　　处：《电力系统及其自动化学报》2016年第6期73-79,共7页Proceedings of the CSU-EPSA

摘　　要：针对现有优化调度方法在考虑风险因素时过于单一、片面的现状,该文考虑风电波动、机组停运、线路故障、负荷波动等多种不确定因素的影响,以电压越限和潮流越限衡量系统整体的运行风险,构建了能够计及系统面临风险的多目标优化调度模型。该模型以运行风险和发电成本为目标函数,将随机潮流理论引入到发电优化调度中,并针对不同的天气状况,对线路故障概率进行实时修正以期更加接近实际运行环境。结合多目标粒子群算法及模糊集理论对所建立的模型进行求解,算例结果表明所提模型和方法能够处理不确定因素对系统运行风险的影响,并反映不同天气状况下调度方案的差异性,为实施短期优化调度提供有益参考。In view of the situation that the consideration of risk factors in the existing optimal dispatch methods is too sin-gle and one-sided,the entire operation risk of the system is measured by branch overload and node voltage violation oflimit,and a model based on operation risk is formulated with operation risk and generation cost as objective functions,allowing for the influence of wind power fluctuation,unit outage,line fault,load fluctuation and other uncertain factors.In this model,the stochastic load flow theory is introduced into the optimal dispatch to deal with the effect of many un-certainties on the operation risk with its Macro statistical properties,and for different weather conditions,the line faultprobability is under real-time correction to get closer to the actual operating environment. This model is solved by themulti-objective particle swarm algorithm and the fuzzy set theory to seek a balance between economy and security. TheIEEE-14 system is used to test the model and the results show that it is able to deal with the impact of uncertainties onthe operation risk and reflect the difference of the dispatch scheme under different weather conditions which can providea reference for the practical short-term optimal dispatch.

关 键 词：优化调度 运行风险 不确定因素 随机潮流 

分 类 号：TM73[电气工程—电力系统及自动化]