中国电机工程学报2017，Vol.37Issue(8)：2231-2241,11.DOI:10.13334/j.0258-8013.pcsee.160613
多随机因素下含可中断负荷的电力系统优化调度模型与求解方法研究
Research on Optimal Scheduling Model and Solving Method for Power System With Interruptible Load Considering Multi Stochastic Factors
摘要
Abstract
For the safe and stable operation of power system,a certain amount of reserve capacity is needed to handle the stochastic factors. Interruptible load which is a kind of incentive based demand response can be used to guarantee the safe and stable operation when there is a load peak or outage in the system. The optimal operation model considering interruptible load was established to minimize the operation cost based on chance constrained programming. In the model, generation unit outage, transmission line outage, load forecast error and interruptible load noncompliance were fully considered. By the use of Monte Carlo simulation,the chance constrained model was converted to its expected value model which transformed the uncertain model into a deterministic one, and lagrangian relaxation was used to solve the deterministic model. In the example,effectiveness of the model was verified. The impact of transmission line outage, interruptible load noncompliance, and scenario number on the optimal result was analyzed emphatically.关键词
可中断负荷/多随机因素/机会约束规划/期望值模型/拉格朗日松弛法Key words
interruptible load (IL)/multi stochastic factors/chance constrained programming/expected value model/Lagrangian relaxation分类
信息技术与安全科学引用本文复制引用
艾欣,周树鹏,陈政琦,赵阅群..多随机因素下含可中断负荷的电力系统优化调度模型与求解方法研究[J].中国电机工程学报,2017,37(8):2231-2241,11.基金项目
国家高技术研究发展计划项目(863 计划) (2015AA050102) （863 计划）
国家自然科学基金项目(513111122) The National High Technology Research and Development of China(863 Program) (2015AA050102) （513111122）
Project Supported by the National Natural Science Foundation of China (513111122) （513111122）
