考虑风电不确定性和有功无功联合调整的两阶段优化调度  

Two-stage Optimal Dispatch Considering Uncertainty of Wind Powerand Joint Regulaiton of Active and Reactive Power

作　　者：李娟[1] 王玲 孙康杰 张彦 LI Juan;WANG Ling;SUN Kangjie;ZHANG Yan(Electrical Engineering College,Northeast Electric Power University,Jilin Jilin 132012;State Grid State Hebei Electric Power Company Handan Power Supply Company,Handan Hebei 056000;State Grid Shandong Electric Power Company Zaozhuang Power Supply Company,Zaozhuang Shandong 277000)

机构地区：[1]东北电力大学电气工程学院,吉林吉林132012 [2]国网河北省电力公司邯郸供电公司,河北邯郸056000 [3]国网山东省电力公司枣庄供电公司,山东枣庄277000

出　　处：《东北电力大学学报》2023年第3期72-81,共10页Journal of Northeast Electric Power University

基　　金：国家自然科学基金项目(52277170)。

摘　　要：基于风电不确定性以及网络中潮流的合理分布对机组出力均有影响的调度问题,文中建立含风电的两阶段优化调度模型。针对风电预测精度日内-实时逐步提高的特点,日内滚动阶段根据时间序列法预测风电出力数据,构造优化发电成本的初调度,确定机组基础出力;实时阶段为了进一步减小误差,通过蒙特卡洛场景生成和后向削减预测风电出力,考虑风电的不确定性;通过有功和无功功率联合调整的动态潮流,使各机组根据频率特性系数按比例分担有功功率不平衡量,根据节点区域控制策略调整无功功率不平衡量,修正机组基础出力,实现潮流的合理分布,建立优化网损和电压水平的调度模型,并通过粒子群算法对模型求解,最后以改进IEEE14节点为例,进行仿真验证。Based on the dispatching problem that the uncertainty of wind power and reasonable distribution of power flow in the network has an impact on unit output,a two-stage optimal dispatch model with wind power is established in this paper.According to the characteristic that the forecasting accuracy of wind power is gradually improved from the in-day time-scale,to the real-time time-scale,during in-day rolling dispatching the model predicts the wind power output data according to the time queue method,constructs the initial dispatch for optimizing the generation cost,and determines the basic output of the unit;In the real-time dispatching,in order to further reduce the error,the wind power output is predicted through Monte Carlo scene generation and reduction,taking into account the uncertainty of wind power;Through the dynamic power flow of active and reactive power joint regulaiton,each unit can share the active unbalanced power in proportion according to the frequency characteristic coefficient,adjust the reactive unbalanced power according to the node area control strategy,correct the basic output of the unit,realize the reasonable distribution of power flow,establish a dispatching model to optimize the network loss and voltage level,and solve the model through particle swarm optimization.Finally,take the improvement of IEEE14-node system as an example to carry out simulation verification.

关 键 词：风功率预测 两阶段优化 有功无功联合 动态潮流 

分 类 号：TM732[电气工程—电力系统及自动化]