摘要
基于风险管理思想,构建了智能电网环境下紧急需求响应参与系统备用的协调优化模型。通过对备用容量配置的风险分析,运用马尔可夫链预测未来时段的系统运行状态概率,考虑事故发生后系统安全运行所付出的费用代价,实现了以概率方式对事故状态集的货币化度量,从而将事故后的风险损失引入备用优化模型。在电力市场环境下有效优化了发电侧和需求侧备用资源的配置。IEEE30节点系统算例表明,所提模型和方法有效可行。
A coordinate optimization model including EDRP（Emergency Demand Response Program）is built based on the risk management theory.By the risk analysis of the reserve allocation,the Markov Chain is used to forecast the system operation state probability of future period,and the cost of post-emergency system safety operation after fault is considered to realize the monetization of fault state sets measured by probability mode.Thus the post-emergency risk loss is introduced into the reserve optimization model.The supply side and the demand side reserve resources are coordinated efficiently.An IEEE30 model is used to testify the effectiveness and feasibitity of the model and algorithm.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2010年第21期77-82,共6页
Power System Protection and Control
基金
国家自然科学基金项目(50877014)~~
关键词
电力市场
备用
紧急需求响应
风险
概率
协调优化
power market
spinning reserve
emergency demand response
risk
probability
coordinate optimization
