风、火、水电短期联合优化调度研究  

On short-term united optimal operation of wind power,thermal power and waterpower

作　　者：杨晓萍[1] 王文坚[1] 薛斌 黄强[1] 

机构地区：[1]西安理工大学,西安710048 [2]西北电网有限公司,西安710048

出　　处：《水力发电学报》2013年第4期199-203,共5页Journal of Hydroelectric Engineering

基　　金：国家自然基金项目(50779053)

摘　　要：将风电引入水火调度系统中,针对风力发电的波动性和不稳定性,提出了风、火、水电短期联合优化调度策略。该策略先保证风电出力最大,火电承担基荷、出力平稳,再由水电调节补偿剩余负荷,将风电、火电与水电调度相结合,以补偿风电的不均匀性和随机性。建立了含约束的多目标非线性优化模型,模型求解采用线性加权和法处理多目标函数,外点罚函数法处理约束条件,将含约束多目标问题转化为无约束单目标问题,引入压缩因子的粒子群算法进行单目标优化。实例计算表明,该方法较好的发挥了水电站调度灵活的特点,提高了电网吸纳风电的能力,解决了不同电源的协调问题。To overcome the volatility and instability of wind power, this paper proposes a strategy for short- term united optimal operation of wind power, thernal power and waterpower by introducing wind power into a water-thermal dispatching system. The top priority of this strategy is to ensure the maximum output of wind power, with the base load undertaken by thermal power of stable output and the surplus load compensated by waterpower dispatching. The irregularity and randomness of wind power is offset through an integrated dispatch of the three power sources. For this operation system, a multi-objective nonlinear optimization model with constraints was developed and solved with several methods： linear weighting method for solution of the multiple-objective function, exterior point penalty function method for constrained condition, transformation of the constrained multi-objective problem into a non-constrained single-objective problem, and particle swarm algorithm of compressibility factors for optimization of this single-objective problem. Calculations show that with the flexibility of water plant brought into a good play, the ability of electricity grid to absorb wind power is greatly enhanced and the coordination problem between different power sources is resolved.

关 键 词：梯级水电站 短期优化调度 粒子群算法 风电 火电 多目标优化 

分 类 号：TM61[电气工程—电力系统及自动化]