1.重庆大学输变电装备技术全国重点实验室;2.国网重庆市电力公司电力科学研究院
TM73
国网重庆市电力公司电力科学研究院科学技术项目(SGCQDK00SBJ2200311)。
1.State Key Laboratory of Power Transmission Equipment Technology,Chongqing University;2.State Grid Chongqing Electric Power Research Institute
Supported by State Grid Chongqing Electric Power Research Institute
在“双碳”目标驱动下,针对风、光等新能源消纳难题与废弃矿井资源化利用需求,本文提出一种考虑新能源消纳的废弃矿井压缩空气储能双层容量优化配置方法。区别于传统基于巷道空间静态确定容量的模式,该研究兼顾经济性与新能源消纳,为废弃矿井储能系统容量规划提供了一种解决方案。该双层容量优化配置模型由规划层及运行层组成,规划层以综合经济性最优为目标,运行层以系统新能源消纳率最高为目标,规划层与运行层上下互动,互相迭代,并通过改进的粒子群算法对该模型进行求解并得到最优配置方案。基于改进IEEE33节点系统的多场景仿真表明,相比传统固定容量配置,所提模型在4种典型场景下新能源消纳率平均提升6.53%,总成本降低45.45%,验证了该模型在提升新能源消纳能力与经济性方面的有效性。
Driven by the "dual-carbon" goals, this study proposes a two-layer capacity optimization configuration method for compressed air energy storage in abandoned mines, addressing the challenges of new energy consumption and the resource utilization demand of abandoned mines. Unlike traditional static capacity determination based solely on mine roadway space, this research balances economy and new energy consumption, providing a solution for energy storage system planning in abandoned mines. The proposed two-layer optimization model consists of a planning layer and an operation layer. The planning layer aims for comprehensive economic optimality, while the operation layer focuses on maximizing the system’s new energy consumption rate. These two layers interact iteratively, and the model is solved using an improved particle swarm optimization algorithm to obtain the optimal configuration scheme. Multi-scenario simulations based on the improved IEEE 33-node system show that, compared with the traditional fixed capacity configuration, the proposed model increases the new energy absorption rate by an average of 6.53% and reduces the total cost by 45.45% in four typical scenarios, verifying the effectiveness of the model in improving the new energy absorption capacity and economy.
