电力系统恢复决策优化模型与求解

发布时间：2018-01-18 16:18

本文关键词：电力系统恢复决策优化模型与求解　出处：《中国电机工程学报》2014年25期 　论文类型：期刊论文

【摘要】：电力系统大停电后系统的快速恢复是电力系统一直以来要解决的重要问题。通过对现有黑启动模型的分析发现,针对全黑情况下启动全网的所有发电机时,现有的最优目标设置和最优问题描述有可能导致一台发电机爬坡而其他发电机等待的现象。为解决这一问题,充分考虑发电机的物理调节特性,提出描述实际问题的变约束的最大值最小的优化模型,并通过引入时间变量t,将变约束的最大值最小优化问题等价为内点法可解的定约束最优潮流(optical power flow,OPF)问题,克服了最优潮流中求解变约束最大值最小问题的难点,提出计及发电机出力特性的电力系统黑启动优化计算策略。IEEE 30节点标准系统的仿真结果表明,该方法有效,可明显缩短启动时间。该成果已经成功用于电力系统自愈决策系统软件,在广东电网公司投运。
[Abstract]:The fast recovery of power system after blackout is an important problem to be solved all the time. Through the analysis of the existing black-start model, it is found that all generators in the whole network can be started under the all-black condition. The existing optimal target setting and optimal problem description may lead to one generator climbing and other generators waiting. In order to solve this problem, the physical regulation characteristics of the generator are fully considered. An optimization model of maximum and minimum variable constraints for practical problems is proposed, and the time variable t is introduced. The maximum and minimum optimization problem with variable constraints is equivalent to the fixed constrained optimal power flow (OPF) problem, which is solvable by the interior point method. It overcomes the difficulty of solving the maximum and minimum problem with variable constraints in optimal power flow. The simulation results of IEEE 30-bus standard system show that this method is effective. The results have been successfully used in the power system self-healing decision system software and put into operation in Guangdong Power Grid Company.
【作者单位】：新能源电力系统国家重点实验室(华北电力大学);上海市电力公司;广东电网电力调度控制中心;香港大学电气工程系;
【基金】：教育部新世纪优秀人才支持计划(NCET-12-0846) 广东电网公司科技项目(K-GD2011-553)~~
【分类号】：TM732
【正文快照】： 0引言根据系统不同运行状态下自愈涉及的物理过程和主要关注的问题[1],将整个自愈过程解耦成若干相对独立的子问题,再针对每个子问题建模,考虑约束条件,提出求解算法。高效率的系统自愈策略能够减少系统恢复时间,提高系统运行的可靠性,是实现自愈电网的核心技术。电网发生故障

【相似文献】