市场环境下运行的光热电站子系统容量优化配比研究

Study on Capacity Optimization Ratio of Subsystems for Concentrating Solar Power Plant in Electricity Market

依托于聚光型太阳能发电技术的光热电站(concentrating solar power,CSP)可充分应对新能源发电的不确定性,为“双碳”愿景下新型电力系统的转型与建设提供有力保障。然而,CSP电站如何摆脱高昂建设成本的制约,为自身赢得更多可持续发展的机会是亟需解决的关键难题。因此,该文提出了一种考虑电力市场机制的CSP电站子系统容量优化规划方法。首先,围绕借助CSP电站灵活调控特性在运行时间尺度下提升CSP电站自身经济收益这一问题,提出CSP电站以价格制定者这一角色参与电力市场的竞价策略。然后,构建以经济效益最大为目标的CSP电站聚光、储热、发电容量配比双层随机规划模型,并采用离散线性化转换方法将规划模型转化为混合整数线性模型,解决模型重构后非线性模型带来的求解难问题。最后,基于我国西北某地区实际历史数据的算例仿真验证所提优化配比方法的有效性,并分析说明与价格接受者相比电力市场中的议价权能使CSP电站获得更好的市场经济效益。

Relying on solar thermal electric power generation,concentrating solar power(CSP)plant possesses the inherent capability to effectively manage the uncertainty of variable renewable energy generation and provide technical support for the construction of new power systems aligned with the objectives of carbon peaking and carbon neutrality.Nevertheless,the pivotal challenge confronting CSP plants pertains to overcoming the constraints of substantial construction expenses and strategizing for sustainable advancement.In this context,this study proposes a capacity optimization planning method targeting the subsystem capacity of the CSP plant,with a specific emphasis on incorporating the electricity market mechanism.Firstly,this paper addresses the imperative of augmenting the economic gains of the CSP plant under the operating time scale.By capitalizing on the adaptable regulatory traits inherent to the CSP plant,an innovative bidding strategy is outlined,allowing the CSP plant to partake in electricity markets as an influential price-maker.Then,a bilevel stochastic optimization model is constructed,centered on the concentration,heat storage,and power generation capacity ratios within the CSP plant.The discrete linearization method,which solves the nonlinear terms after model reconstruction,transforms the planning model into a mixed integer linear problem programming(MILP).Finally,the effectiveness of the proposed planning method is verified by an example simulation based on the actual historical data of a certain area in Northwest China,and the analysis shows that the bargaining power in the electricity market can make the CSP plant obtain more profit in comparison with a price-taker behavior.