摘要
随着全球能源结构的转型和智能电网的快速发展，储能系统在电力系统中扮演着越来越重要的角色。智能电网作为未来电力系统的核心，其高效、灵活、可靠的特点对储能系统提出了更高要求。然而，储能技术的多样性、经济性评估的复杂性、规划与运行的协调性以及法规政策的不完善等问题，使得智能电网中储能系统的优化配置成为亟待解决的关键问题。本研究针对智能电网中储能系统优化配置问题，首先概述了智能电网基础理论、储能技术原理及优化配置理论，为后续研究奠定了理论基础。随后，分析了储能系统在智能电网中的多重作用，包括提升电网稳定性与可靠性、促进可再生能源消纳、降低电网运行成本等。针对当前智能电网中储能系统优化配置面临的技术选择与匹配、经济性评估与优化、规划与运行协调以及法规政策与标准制定等问题，本研究提出了相应的优化策略，包括精准技术选择与匹配策略、经济性优化与成本效益分析、强化规划与运行协调机制以及完善法规政策与标准体系等。通过构建多目标优化模型、引入大数据与AI技术、建立储能系统与电网规划的联动机制等措施，本研究旨在实现智能电网中储能系统的优化配置，提高电网运行效率与可靠性，促进可再生能源的广泛应用，为构建绿色低碳的能源体系贡献力量。
关键字：智能电网；储能系统；经济性评估
Abstract
With the transformation of the global energy structure and the rapid development of smart grids, energy storage systems are playing an increasingly important role in the power system. As the core of the future power system, the intelligent grid has higher requirements for energy storage systems due to its high efficiency, flexibility, and reliability. However, the diversity of energy storage technologies, the complexity of economic evaluation, the coordination between planning and operation, and the imperfect regulatory policies make the optimization configuration of energy storage systems in smart grids a key issue that urgently needs to be addressed. This study focuses on the optimization configuration of energy storage systems in smart grids. Firstly, the basic theory of smart grids, energy storage technology principles, and optimization configuration theory are outlined, laying a theoretical foundation for subsequent research. Subsequently, the multiple roles of energy storage systems in smart grids were analyzed, including improving grid stability and reliability, promoting the consumption of renewable energy, and reducing grid operating costs. This study proposes corresponding optimization strategies for the optimization configuration of energy storage systems in the current smart grid, including precise technology selection and matching strategies, economic evaluation and optimization, planning and operation coordination, and formulation of regulations, policies, and standards. These strategies include precise technology selection and matching strategies, economic optimization and cost-benefit analysis, strengthening the coordination mechanism between planning and operation, and improving the regulatory, policy, and standard system. By constructing multi-ob jective optimization models, introducing big data and AI technologies, and establishing a linkage mechanism between energy storage systems and power grid planning, this study aims to optimize the configuration of energy storage systems in smart grids, improve grid operation efficiency and reliability, promote the widespread application of renewable energy, and contribute to the construction of a green and low-carbon energy system.
Keywords: smart grid; Energy storage system; Economic evaluation
目录
一、绪论 1
1.1 研究背景和意义 1
1.2 国内外研究现状 1
1.3 研究目的和内容 2
二、相关理论概述 2
2.1 智能电网基础理论 2
2.2 储能技术原理 2
2.3 优化配置理论 3
三、储能系统在智能电网中的作用 3
3.1 提升电网稳定性与可靠性 3
3.2 促进可再生能源消纳 3
3.3 降低电网运行成本 4
四、智能电网中储能系统优化配置面临的问题 4
4.1 技术选择与匹配问题 4
4.2 经济性评估与优化问题 5
4.3 规划与运行协调问题 5
4.4 法规政策与标准制定问题 5
五、智能电网中储能系统配置优化策略 5
5.1 精准技术选择与匹配策略 5
5.1.1 综合考虑技术性能与经济性 5
5.1.2 基于大数据与AI的储能系统推荐系统 6
5.2 经济性优化与成本效益分析 6
5.2.1 构建多目标优化模型 6
5.2.2 引入动态经济评估与敏感性分析 6
5.3 强化规划与运行协调机制 7
5.3.1 建立储能系统与电网规划的联动机制 7
5.3.2 优化储能系统参与电网调度的策略 7
5.4 完善法规政策与标准体系 8
5.4.1 推动储能技术相关法规政策制定 8
5.4.2 积极参与国际标准制定与合作 8
六、结论 8
参考文献 9
随着全球能源结构的转型和智能电网的快速发展，储能系统在电力系统中扮演着越来越重要的角色。智能电网作为未来电力系统的核心，其高效、灵活、可靠的特点对储能系统提出了更高要求。然而，储能技术的多样性、经济性评估的复杂性、规划与运行的协调性以及法规政策的不完善等问题，使得智能电网中储能系统的优化配置成为亟待解决的关键问题。本研究针对智能电网中储能系统优化配置问题，首先概述了智能电网基础理论、储能技术原理及优化配置理论，为后续研究奠定了理论基础。随后，分析了储能系统在智能电网中的多重作用，包括提升电网稳定性与可靠性、促进可再生能源消纳、降低电网运行成本等。针对当前智能电网中储能系统优化配置面临的技术选择与匹配、经济性评估与优化、规划与运行协调以及法规政策与标准制定等问题，本研究提出了相应的优化策略，包括精准技术选择与匹配策略、经济性优化与成本效益分析、强化规划与运行协调机制以及完善法规政策与标准体系等。通过构建多目标优化模型、引入大数据与AI技术、建立储能系统与电网规划的联动机制等措施，本研究旨在实现智能电网中储能系统的优化配置，提高电网运行效率与可靠性，促进可再生能源的广泛应用，为构建绿色低碳的能源体系贡献力量。
关键字：智能电网；储能系统；经济性评估
Abstract
With the transformation of the global energy structure and the rapid development of smart grids, energy storage systems are playing an increasingly important role in the power system. As the core of the future power system, the intelligent grid has higher requirements for energy storage systems due to its high efficiency, flexibility, and reliability. However, the diversity of energy storage technologies, the complexity of economic evaluation, the coordination between planning and operation, and the imperfect regulatory policies make the optimization configuration of energy storage systems in smart grids a key issue that urgently needs to be addressed. This study focuses on the optimization configuration of energy storage systems in smart grids. Firstly, the basic theory of smart grids, energy storage technology principles, and optimization configuration theory are outlined, laying a theoretical foundation for subsequent research. Subsequently, the multiple roles of energy storage systems in smart grids were analyzed, including improving grid stability and reliability, promoting the consumption of renewable energy, and reducing grid operating costs. This study proposes corresponding optimization strategies for the optimization configuration of energy storage systems in the current smart grid, including precise technology selection and matching strategies, economic evaluation and optimization, planning and operation coordination, and formulation of regulations, policies, and standards. These strategies include precise technology selection and matching strategies, economic optimization and cost-benefit analysis, strengthening the coordination mechanism between planning and operation, and improving the regulatory, policy, and standard system. By constructing multi-ob jective optimization models, introducing big data and AI technologies, and establishing a linkage mechanism between energy storage systems and power grid planning, this study aims to optimize the configuration of energy storage systems in smart grids, improve grid operation efficiency and reliability, promote the widespread application of renewable energy, and contribute to the construction of a green and low-carbon energy system.
Keywords: smart grid; Energy storage system; Economic evaluation
目录
一、绪论 1
1.1 研究背景和意义 1
1.2 国内外研究现状 1
1.3 研究目的和内容 2
二、相关理论概述 2
2.1 智能电网基础理论 2
2.2 储能技术原理 2
2.3 优化配置理论 3
三、储能系统在智能电网中的作用 3
3.1 提升电网稳定性与可靠性 3
3.2 促进可再生能源消纳 3
3.3 降低电网运行成本 4
四、智能电网中储能系统优化配置面临的问题 4
4.1 技术选择与匹配问题 4
4.2 经济性评估与优化问题 5
4.3 规划与运行协调问题 5
4.4 法规政策与标准制定问题 5
五、智能电网中储能系统配置优化策略 5
5.1 精准技术选择与匹配策略 5
5.1.1 综合考虑技术性能与经济性 5
5.1.2 基于大数据与AI的储能系统推荐系统 6
5.2 经济性优化与成本效益分析 6
5.2.1 构建多目标优化模型 6
5.2.2 引入动态经济评估与敏感性分析 6
5.3 强化规划与运行协调机制 7
5.3.1 建立储能系统与电网规划的联动机制 7
5.3.2 优化储能系统参与电网调度的策略 7
5.4 完善法规政策与标准体系 8
5.4.1 推动储能技术相关法规政策制定 8
5.4.2 积极参与国际标准制定与合作 8
六、结论 8
参考文献 9
