光热-风力联合发电系统储热容量双层优化配置研究

Double-layer optimal allocation of heat storage capacity in combined solar thermal-wind power generation system

基于风力发电与光热发电在时间特性上呈互补优势,且光热电站配备的储热系统能够有效缓解调峰压力,提高风电消纳能力,提出太阳能光热-风力联合发电系统。通过拉丁超立方抽样方法有效降低风电出力和太阳辐照强度的不确定性,并提出了一种两阶段双层优化配置方法合理配置储热容量。上层模型以系统综合运行投资成本最低和系统弃电量最低为目标,通过模糊多属性决策方案确定最优储热容量;下层模型以考虑场景内联合发电系统净效益最大为目标优化运行。结果表明:光热电站储热系统的最优储热容量为906 MW·h,最优储热容量配置下的综合运行成本为243万元;通过不同情形的结果对比,该配置方法下系统的弃电量相比之下降低了69.615 MW,系统净收益提高了7.7%。

Wind power generation and solar thermal power generation have complementary advantages in terms of time characteristics,and the heat storage system equipped with solar thermal power station can effectively alleviate the peak regulation pressure and improve the wind power absorption capacity.On this basis,a solar thermal-wind combined power generation system is proposed.The Latin hypercube sampling method is used to effectively reduce the uncertainty of wind power output and solar irradiation intensity.Then,a two-stage double-layer optimal allocation method is proposed to rationally allocate the heat storage capacity.The upper layer model aims to minimize the investment cost of comprehensive operation of the system and the lowest curtailment of the system.The optimal heat storage capacity is determined by a fuzzy multi-attribute decision scheme.In the lower layer model,the operation is optimized with the goal of maximizing the net benefit of the cogeneration system in the scenario.The results show that the optimal heat storage capacity of the heat storage system of the solar thermal power station is 906 MW·h,and the comprehensive operating cost for the optimal heat storage capacity configuration is 2430000 yuan.Through the comparison between the results of different scenarios,the curtailment of the system with this configuration method reduces by 69.615 MW,and the net revenue of the system increases by 7.7%.