采用最优场景法求解含风电的无功优化模型  

Optimal Scenario Method for Solving Reactive Power Optimization Model Incorporating Wind Farms

作　　者：齐晖 程韧俐 史军 华栋[2] 孙高星 QI Hui;CHENG Renli;SHI Jun;HUA Dong;SUN Gaoxing(Shenzhen Power Supply Co.,Ltd.,Shenzhen,Guangdong 518000,China;South China University of Technology,Guangzhou,Guangdong 510640,China)

机构地区：[1]深圳供电局有限公司,广东深圳518000 [2]华南理工大学,广东广州510640

出　　处：《广东电力》2019年第6期18-28,共11页Guangdong Electric Power

基　　金：中国南方电网有限责任公司科技项目(GDKJQQ20161201)

摘　　要：为解决无功优化模型中风电的不确定性问题,提出一种最优场景法。该方法既避免了随机规划法中耗时的蒙特卡洛模拟过程,又充分利用了风电的概率分布信息。最优场景法分为2个阶段:第1阶段固定离散控制变量(包括无功补偿电容和变压器分接头),通过调整连续控制变量(包括发电机无功出力)获得各风电场景下的最优控制变量,并计算各场景最优控制变量下的所有场景电压越限风险,选出所有场景下电压越限风险最少的控制变量,其对应的场景称为最优场景;第2阶段固定第一阶段得到的最优连续控制变量,并调整离散控制变量使得所有风电场景下电压越限风险更少,同时使平均网损最小。通过IEEE14节点系统和IEEE57节点系统对所提方法进行测试,将所得结果与机会约束规划方法进行比较,验证了所提最优场景法的有效性和优越性。To solve the problem of uncertainty of wind power in the reactive power optimization model, this paper proposes a kind of optimal scenario method which can both avoid time-consuming Monte Carlo simulation process in the stochastic planning method and make the best of probability distribution information of wind power. This optimal scenario method is divided into two stages. The first stage is to fix disperse control variables including the reactive power compensation capacitor and the transformer tap, acquire the optimal control variable under each wind power scenario by means of adjusting continuous control variables including generator reactive power output and calculate voltage out-of-limits risks of all scenarios under different optimal control variables. The last step of the first stage is to select the control variable with the least voltage out-of-limits risks under all scenarios and its corresponding scenario is called the optimal scenario. The second stage is to fix the optimal continuous control variable obtained in the first stage, adjust disperse control variables to make voltage out-of-limits risks under all wind power scenarios and the average power loss less. By using the IEEE 14-bus system and the IEEE 57-bus system to test the proposed method and comparing the obtained results with those of the chance-constrained planning method, effectiveness and advantages of the optimal scenario method has been verified.

关 键 词：无功优化 不确定性 最优场景法 风电场 随机规划 

分 类 号：TM711[电气工程—电力系统及自动化]