基于负荷侧响应的含储热热电联产的风电消纳模型

AWIND POWER CONSUMPTION MODEL OF CHPWITH THERMAL ENERGY STORAGE BASED ON DEMAND RESPONSE

为了有效减少弃风,提高风电消纳能力,该文从负荷侧出发,通过峰谷分时电价策略引导用户的用电方式,达到削峰填谷,优化负荷曲线的目的。同时,在传统热电联产机组中应用大容量储热装置,通过对储热环节的控制,解耦“以热定电”约束,提高系统调节能力。以系统煤耗量最低为目标,构建包含储热的热电联产机组与风电联合出力优化调度模型。该模型考虑系统中的含储热热电联产机组运行成本,同时兼顾储热、负荷侧响应与热电平衡的相关约束等因素,采用基于模拟退火的粒子群算法对模型进行求解,并利用算例比较不同模式下的结果,验证了模型的有效性。

In order to enhance the capacity of wind power utilization,with the guidance of Demand Response,this paper uses the timeof-use electricity price strategy to achieve the goal of shaving peak and filling valley.Meanwhile,thermal energy storage is added into CHP(combined heat and power)to decouple“thermal-electro”constraint and improve the ability to load capacity.In this paper,with the aim of minimum system coal consumption,a joint optimal operation model is established including CHP with thermal energy storage,wind power,conventional thermal power units,and demand response.Such factors as the cost of CHP,the operating and maintenance cost of the wind power,and constraints of thermal balance and power balance are comprehensively considered.The proposed model is solved by using an improved particle swarm optimization algorithm based on simulated annealing,and the effectiveness is verified by comparison under different modes with or without demand response and thermal energy storage.