电量和有功备用辅助服务联合优化模型和算法的研究  

Study on Co-optimized Model and Algorithm with Energy and Reserves Auxiliary Service

作　　者：杨昆[1] 李曼[1] 

机构地区：[1]上海电力学院,上海200082

出　　处：《陕西电力》2016年第4期54-59,共6页Shanxi Electric Power

基　　金：国家自然科学基金项目(71203137)

摘　　要：在电力市场和有功备用辅助服务市场中,AGC服务、旋转备用和有功电量具有较强的耦合性,即AGC容量和旋转备用容量直接关系到电量市场波动,故电量、AGC和旋转备用统一决策是辅助服务中的一项重要内容。首先研究了电量、AGC和旋转备用联合优化的可行性,说明了该优化方式和现行市场运营模式相适应。建立了以社会效益最大化为目标的最优备用数学模型,考虑到备用约束,机组爬坡速率以及系统安全性约束,运用自适应免疫遗传算法求解模型。对电力系统进行仿真计算,验证了该模型是兼顾经济性和可靠性的最优电量、AGC和旋转备用的获取方案,为所倡导的电量市场和有功备用辅助服务市场联营机制的设计和优化提供了借鉴。In energy market and auxiliary service market, automatic generation control, spinning reserve and energy are closely coupled, unified decision-making energy, AGC and spinning reserve are significant part in auxiliary service. This paper presents the feasibility of co-optimized energy, AGC and spinning reserve, explains that the optimization method which is adapt on the current market operation mode. This paper proposes a model for optimal energy, AGC and spinning reserve to determine energy, AGC and spinning reserve capacities. The model takes into consideration the constraint of reserve, the constraint of ramp rate and security constraint. The objective function aims at maximizing social benefit through immune genetic algorithm. Test System （IEEE-New England 30 Bus ） can give suggestions on co-optimization of power market and auxiliary market.

关 键 词：电力市场 有功备用辅助服务市场 联合优化 自适应免疫遗传算法 

分 类 号：TM732[电气工程—电力系统及自动化] F224[经济管理—国民经济]