摘要
针对在POOL模式下电力市场中机组容量、报价、负荷信息等不确定因素,建立了阻塞成本约束下输电网随机规划模型。在输电规划水平年,采用蒙特卡罗算法进行市场模拟来量化输电线路阻塞程度,并利用遗传算法来优化阻塞成本约束条件下以投资费用最小为目标的输电网规划方案,最后在IEEE-30节点算例系统上进行了优化规划,得到了协调满足约束条件和经济目标的优化方案。
Aiming at the uncertain factors of capacity,quoted price and load information of generators under POOL mode in power maker, the paper establishes stochastic planning models for transmission grid under congestion cost constraint. In the transmission planning year,Monte Carlo algorithm is employed to simulate the market in order to quantize the congestion extent of transmission lines. And genetic algorithm is employed to optimize the planning scheme of transmission grid under the constraint condition of congestion cost,taking the minimization of investment cost as object. Finally, optimized planning is used in the IEEE-30 bus test system and the optimized scheme that can meet the constraint condition and the economic object is obtained.
出处
《江苏电机工程》
2006年第3期33-36,共4页
Jiangsu Electrical Engineering
关键词
输电网规划
电力市场
阻塞成本约束
蒙特卡罗模拟
遗传算法
transmission grid planning
power market
constraint of congestion cost
Monte Carlo simulation
genetic algorithm (GA)