摘 要
随着可再生能源在电力系统中的占比不断提升，储能技术作为解决其间歇性和波动性问题的关键手段日益受到关注。本研究针对电力系统中储能技术的应用与优化配置问题展开深入探讨，旨在构建一套完整的储能系统规划与运行优化框架。研究首先分析了当前主流储能技术的性能特征与经济性指标，建立了包含电池储能、抽水蓄能、压缩空气储能在内的多类型储能模型。在此基础上，提出了基于双层规划的储能容量优化配置方法，上层以系统投资成本最小化为目标进行容量规划，下层考虑系统运行约束实现最优调度。通过改进的粒子群算法求解该非线性优化问题，并结合实际电网数据进行仿真验证。
关键词：储能技术 电力系统优化 双层规划
Abstract
With the increasing proportion of renewable energy in the power system, energy storage technology is increasingly concerned as a key means to solve its intermittent and volatility problems. This study deeply discusses the application and optimization configuration of energy storage technology in the power system, aiming to build a complete set of energy storage system planning and operation optimization fr amework. The research first analyzes the performance characteristics and economic indicators of the current mainstream energy storage technology, and establishes a multi-type energy storage model including battery energy storage, pumped storage and compressed air energy storage. On this basis, the optimal configuration method of energy storage capacity based on double-layer planning is proposed. The upper layer takes the capacity planning goal to minimize the system investment cost, and the lower layer realizes the optimal scheduling by considering the system operation constraints. The nonlinear optimization problem is solved by improved particle swarm algorithm and verified with actual power grid data.
Keyword: Energy storage technology Power system optimization Double-layer planning
目 录
1绪论 1
1.1研究背景与意义 1
1.2研究现状 1
1.3本文研究方法与技术路线 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特点 2
2.2储能系统运行特性分析 3
2.3储能技术经济性评估方法 3
3电力系统储能优化配置模型构建 4
3.1储能系统容量优化模型 4
3.2储能系统选址定容方法 4
3.3多目标优化求解算法设计 5
4储能技术在电力系统中的典型应用场景分析 5
4.1新能源消纳中的储能应用 6
4.2电网调频调峰中的储能应用略 6
4.3用户侧需求响应中的储能应用 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，储能技术作为解决其间歇性和波动性问题的关键手段日益受到关注。本研究针对电力系统中储能技术的应用与优化配置问题展开深入探讨，旨在构建一套完整的储能系统规划与运行优化框架。研究首先分析了当前主流储能技术的性能特征与经济性指标，建立了包含电池储能、抽水蓄能、压缩空气储能在内的多类型储能模型。在此基础上，提出了基于双层规划的储能容量优化配置方法，上层以系统投资成本最小化为目标进行容量规划，下层考虑系统运行约束实现最优调度。通过改进的粒子群算法求解该非线性优化问题，并结合实际电网数据进行仿真验证。
关键词：储能技术 电力系统优化 双层规划
Abstract
With the increasing proportion of renewable energy in the power system, energy storage technology is increasingly concerned as a key means to solve its intermittent and volatility problems. This study deeply discusses the application and optimization configuration of energy storage technology in the power system, aiming to build a complete set of energy storage system planning and operation optimization fr amework. The research first analyzes the performance characteristics and economic indicators of the current mainstream energy storage technology, and establishes a multi-type energy storage model including battery energy storage, pumped storage and compressed air energy storage. On this basis, the optimal configuration method of energy storage capacity based on double-layer planning is proposed. The upper layer takes the capacity planning goal to minimize the system investment cost, and the lower layer realizes the optimal scheduling by considering the system operation constraints. The nonlinear optimization problem is solved by improved particle swarm algorithm and verified with actual power grid data.
Keyword: Energy storage technology Power system optimization Double-layer planning
目 录
1绪论 1
1.1研究背景与意义 1
1.2研究现状 1
1.3本文研究方法与技术路线 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特点 2
2.2储能系统运行特性分析 3
2.3储能技术经济性评估方法 3
3电力系统储能优化配置模型构建 4
3.1储能系统容量优化模型 4
3.2储能系统选址定容方法 4
3.3多目标优化求解算法设计 5
4储能技术在电力系统中的典型应用场景分析 5
4.1新能源消纳中的储能应用 6
4.2电网调频调峰中的储能应用略 6
4.3用户侧需求响应中的储能应用 7
5结论 7
参考文献 9
致谢 10
