摘 要
随着可再生能源在电力系统中的占比不断提升，储能技术的优化配置成为保障系统稳定运行的关键问题。本研究针对电力系统中储能设备的容量与选址问题，提出了一种基于双层规划模型的优化配置方法。上层模型以系统整体经济性最优为目标，考虑投资成本、运行维护费用及环境效益；下层模型则通过时序模拟分析储能设备在不同场景下的充放电策略，确保系统运行的可靠性。研究采用改进的粒子群算法求解该非线性规划问题，有效提高了计算效率与求解精度。通过对某省级电网的实证分析表明，与传统单层规划相比，该方法可使储能系统的全生命周期成本降低12.3%，同时提升可再生能源消纳率8.7%。研究创新性地将多时间尺度分析与概率潮流计算相结合，为储能设备的精准配置提供了理论依据。
关键词：储能优化配置 双层规划模型 粒子群算法
Abstract
With the increasing proportion of renewable energy in the power system, the optimal allocation of energy storage technology has become a key issue to ensure the stable operation of the system. In this study, the capacity and site selection of energy storage equipment in power system are proposed. The upper model targets the overall economic optimization of the system, considering the investment cost, operation and maintenance cost and environmental benefits, and the lower model analyzes the charging and discharging strategy of energy storage equipment in different scenarios through temporal simulation to ensure the reliability of the system operation. Using a modified particle swarm algorithm to solve the nonlinear programming problem, effectively improve the calculation efficiency and solution accuracy. The empirical analysis of a provincial power grid shows that compared with the traditional single-layer planning, this method can reduce the full life cycle cost of the energy storage system by 12.3%, and improve the consumption rate of renewable energy by 8.7%. The innovative combination of multi-time scale analysis and probabilistic power flow calculation provides a theoretical basis for the accurate configuration of energy storage equipment.
Keyword: Optimized configuration of energy storage Double-layer planning model Particle population algorithm
目 录
1绪论 1
1.1研究背景 1
1.2研究意义 1
1.3国内外研究现状分析 1
2电力系统储能技术特性分析 2
2.1主要储能技术类型及其特性 2
2.2储能技术在电力系统中的功能定位 3
2.3储能系统运行特性与经济性分析 3
3储能系统优化配置模型构建 4
3.1优化配置的目标函数构建 4
3.2约束条件分析与建模方法 4
3.3多目标优化求解算法选择 5
4储能系统优化配置案例分析 6
4.1典型电力系统场景选取与分析 6
4.2不同场景下的优化配置方案比较 6
4.3敏感性分析与方案评估方法 7
5结论 7
参考文献 9
致谢 10
随着可再生能源在电力系统中的占比不断提升，储能技术的优化配置成为保障系统稳定运行的关键问题。本研究针对电力系统中储能设备的容量与选址问题，提出了一种基于双层规划模型的优化配置方法。上层模型以系统整体经济性最优为目标，考虑投资成本、运行维护费用及环境效益；下层模型则通过时序模拟分析储能设备在不同场景下的充放电策略，确保系统运行的可靠性。研究采用改进的粒子群算法求解该非线性规划问题，有效提高了计算效率与求解精度。通过对某省级电网的实证分析表明，与传统单层规划相比，该方法可使储能系统的全生命周期成本降低12.3%，同时提升可再生能源消纳率8.7%。研究创新性地将多时间尺度分析与概率潮流计算相结合，为储能设备的精准配置提供了理论依据。
关键词：储能优化配置 双层规划模型 粒子群算法
Abstract
With the increasing proportion of renewable energy in the power system, the optimal allocation of energy storage technology has become a key issue to ensure the stable operation of the system. In this study, the capacity and site selection of energy storage equipment in power system are proposed. The upper model targets the overall economic optimization of the system, considering the investment cost, operation and maintenance cost and environmental benefits, and the lower model analyzes the charging and discharging strategy of energy storage equipment in different scenarios through temporal simulation to ensure the reliability of the system operation. Using a modified particle swarm algorithm to solve the nonlinear programming problem, effectively improve the calculation efficiency and solution accuracy. The empirical analysis of a provincial power grid shows that compared with the traditional single-layer planning, this method can reduce the full life cycle cost of the energy storage system by 12.3%, and improve the consumption rate of renewable energy by 8.7%. The innovative combination of multi-time scale analysis and probabilistic power flow calculation provides a theoretical basis for the accurate configuration of energy storage equipment.
Keyword: Optimized configuration of energy storage Double-layer planning model Particle population algorithm
目 录
1绪论 1
1.1研究背景 1
1.2研究意义 1
1.3国内外研究现状分析 1
2电力系统储能技术特性分析 2
2.1主要储能技术类型及其特性 2
2.2储能技术在电力系统中的功能定位 3
2.3储能系统运行特性与经济性分析 3
3储能系统优化配置模型构建 4
3.1优化配置的目标函数构建 4
3.2约束条件分析与建模方法 4
3.3多目标优化求解算法选择 5
4储能系统优化配置案例分析 6
4.1典型电力系统场景选取与分析 6
4.2不同场景下的优化配置方案比较 6
4.3敏感性分析与方案评估方法 7
5结论 7
参考文献 9
致谢 10
