含CSP电站的风光火储联合外送系统优化配置

为解决中国西北地区的新能源消纳问题,提出一种含CSP电站的风光火储联合外送系统优化配置方法。首先,根据风光火储的互补特性建立含CSP电站的风光火储联合外送系统的典型架构,并分析其工作机制;其次,结合拉丁超立方抽样以及基于时序自相关和互相关的时序重构、时序组合和场景择优,生成考虑时序自相关和互相关性的随机场景集;接着,以计及碳排放成本的系统收益和系统新能源消纳能力最优为多目标,构建含CSP电站的风光火储联合外送系统多目标优化配置模型,并通过增广ε-约束法结合商用软件CPLEX进行求解;最后,以西北某地区2025年电网规划数据构造的算例进行仿真,验证了该配置方法能有效提高系统收益,促进风光消纳,提高系统电力送出能力。

OPTIMAL ALLOCATION OF WIND-PHOTOVOLTAIC-THERMAL-STORAGE COMBINED TRANSMISSION SYSTEM WITH CSP STATION

In order to solve the problem of renewable energy accommodation in northwestern China, a method for optimal allocation of wind-photovoltaic-thermal-storage combined transmission system with CSP is proposed. Firstly, based on the complementary characteristics of wind-photovoltaic-thermal-storage, establish a typical architecture of wind-photovoltaic-thermal-storage combined transmission system with CSP, and analyze its working mechanism. Secondly, combine Latin hypercube sampling and timing reconstruction, timing combination and scene selection based on timing autocorrelation and cross-correlation, generate a set of random scenes considering time series auto-correlation and cross-correlation. Then, a multi-objective optimal allocation model of the wind-photovoltaic-thermal-storage combined transmission system with CSP is constructed based on the optimal system benefits including carbon emission costs and the system’s new energy absorption capacity. The model was solved by the augmented ε-constraint method combined with the commercial software CPLEX. Finally, an example of power grid planning data construction in a northwest region in 2025 is used for simulation, and it is verified that the configuration method can effectively improve the system revenue, promote the scenery absorption, and improve the power delivery capacity of the system.