计及风光不确定性的风-光-光热联合发电系统中光热电站储热容量优化配置

Optimal Capacity Configuration of Thermal Storage within CSP Plant in Wind-PV-CSP Hybrid Power Generation System Considering Uncertainty of Wind and Photovoltaic Power

传统新能源电站之间联合形式单一且未考虑风光出力不确定性,弃风、弃光现象严重。为此,提出了一种考虑风光不确定性的风-光-光热联合系统的光热电站储热容量优化配置策略,利用电转热技术使风光电站和光热电站有效耦合,明确联合系统框架与原理;采用改进拉丁超立方抽样方法抑制风光出力的不确定性。最后,构建基于风光出力典型场景的光热电站储热容量双层优化配置模型,并进行算例求解,结果表明所提方法显著降低了系统总投资与运行成本,提高了清洁能源消纳能力。

The mode of integration between traditional new energy power stations is simple and does not take into account the uncertainty of wind and photovoltaic output.The phenomenon of wind and PV curtailment is serious.To this end,the paper proposes an optimal configuration strategy for the thermal storage capacity of CSP plant in wind-PV-CSP hybrid system considering the uncertainty of the wind and photovoltaic output.The power-to-heat technology is used to effectively couple the wind and PV power station as well as CSP plant,clarifying the framework and principle of the hybrid system.The improved Latin hypercube sampling method is employed to suppress the uncertainty of the wind and photovoltaic output.Finally,a double-layer optimal configuration model of the thermal storage capacity for CSP plant based on typical wind and photovoltaic output scenarios is constructed,and an example is solved.The results show that the proposed method significantly reduces the total investment and operating costs of the system,and improves clean energy consumption capacity.