摘要
大规模风电并网给电力系统运行带来了重大技术挑战,其出力的随机性和波动性增加了线路传输能力和备用调节能力不足的风险,传统的确定性经济调度方法已不完全适用。首先提出了一种基于混合高斯分布的机会约束随机动态经济调度模型,该模型将最小备用约束和线路传输容量约束建模为机会约束,并引入调频机组的仿射控制策略以实时平衡风功率的波动。然后提出了一种机会约束规划的松弛迭代求解方法,将随机调度模型转化为二次规划模型以实现快速有效求解。利用中国西南某省25个风电场的现场数据以及IEEE 118节点系统进行算例分析,验证了混合高斯分布对风电预测误差的拟合精度,以及所提方法的可行性。
The integration of massive wind power brings significant technical challenges to power system operation.The randomness and volatility of wind power output increase the risk of insufficient transmission or regulation capacity,and the traditional determined economic dispatch methods are no longer applicable in this condition.First,a chance constrained stochastic economic dispatch model is proposed based on Gaussian mixture distribution.In this model,the minimum reserve constraints and transmission capacity constraints are represented by chance constraints,and the affine control strategy of regulation units is adopted to balance the real-time wind power fluctuation.And then,a convex relaxation based iterative solution method for chanceconstrained programming model is proposed,by which,stochastic dispatch model is converted into a quadratic programming model to achieve the fast and effective solution.Taking data of 25 wind farms in Southwest China and the IEEE 118-bus test system as the analysis cases,the fitting accuracy of Gaussian mixture distribution for wind power forecasting error and the efficiency of the proposed method are verified.
作者
许书伟
吴文传
朱涛
王珍意
XU Shuwei;WU Wenchuan;ZHU Tao;WANG Zhenyi(State Key Laboratory of Control and Simulation of Power System and Generation Equipments,Tsinghua University,Beijing 100084,China;Department of Electrical Engineering,Tsinghua University,Beijing 100084,China;Kunming Electric Power Supply Bureau of Yunnan Power Grid Co.,Ltd.,Kunming 100075,China;Power Dispatch and Control Center of Yunnan Power Grid Co.,Ltd.,Kunming 100075,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2020年第17期43-59,共17页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51725703)
中国南方电网有限责任公司科技项目(056000KK52170010)
关键词
随机经济调度
机会约束
混合高斯分布
凸松弛
风力发电
stochastic economic dispatch
chance constrains
Gaussian mixture distribution
convex relaxations
wind power generation
