考虑风电随机性的电力系统厂/网双层分解协调经济调度方法  

A Bi-level Decomposition and Coordination Economic Dispatch Method for Power Plants/Network Considering Stochastic Wind Generation

作　　者：赵文猛[1] 刘明波[1] 朱建全[1] 

机构地区：[1]华南理工大学电力学院,广东省广州市510640

出　　处：《电网技术》2015年第7期1847-1854,共8页Power System Technology

基　　金：国家重点基础研究发展规划项目(973计划)(2013CB228205)~~

摘　　要：针对大规模风电接入给省级电网带来的挑战,提出一种考虑风电随机性和网络安全约束的厂/网双层分解协调经济调度方法。上层以电网的安全经济运行为目标,决策变量是各个电厂的出力和弃风量,交替求解主问题和误差场景子问题,以确保使全网运行费用最小和电网有足够的能力去应对风电的随机性;下层求解电厂子问题,以电厂内机组的经济运行为目标,决策变量为各个机组的出力。采用Benders分解算法求解上述模型,产生2种最优切割以近似误差场景子问题和电厂子问题。通过对含3个风电场的某省级电网的计算,验证了所提方法的有效性。Aiming at the challenge of large-scale wind generation penetration into provincial power system,a bi-level dynamic economic dispatch method for power plant/network considering stochastic wind power and network security constraints is proposed. The upper-level aims at the network＇s security and economic operation and determines the output scheduling of power plants and wind power curtailment, the master problem and sampling scenario sub-problems are solved alternately to minimize operation cost of power network and accommodate the volatility of wind power. The lower level minimizes the generation cost of each power plant and determines the output scheduling of generation units by solving the power plant sub-problems. The Benders algorithm is used to solve this bi-level model,and two kinds of optimality cuts are generated to approximate the sampling scenario subproblems and the power plant sub-problems. The computational results on a real provincial power grid with three wind farms show the effectiveness of the proposed method.

关 键 词：随机风电 动态经济调度 网络安全约束 厂/网双层模型 Benders分解算法 

分 类 号：TM721[电气工程—电力系统及自动化]