建筑微电网优化运行策略 -建筑环境与能源应用工程专业

摘要

随着可再生能源技术的快速发展和建筑能耗问题的日益突出，建筑微电网作为一种集成分布式能源、储能系统与负荷管理的技术方案，成为实现低碳化与高效能源利用的重要途径。本研究旨在针对建筑微电网优化运行策略展开深入探讨，以提升能源利用效率并降低运行成本。为此，本文提出了一种基于多目标优化模型的运行策略，综合考虑了经济性、环保性和供电可靠性等关键因素，并引入改进型粒子群算法进行求解。通过构建包含光伏发电、风力发电、储能设备及可控负荷的典型建筑微电网模型，对所提策略进行了仿真验证。结果表明，该策略能够在满足用户需求的前提下显著降低系统运行成本，同时减少碳排放量，提高可再生能源消纳能力。此外，研究还分析了不同场景下储能容量配置与负荷调度对系统性能的影响，进一步验证了方法的适应性和鲁棒性。本研究的主要创新点在于将多目标优化与智能算法相结合，为建筑微电网的实际应用提供了科学依据和技术支持，其研究成果对推动建筑领域的能源转型具有重要的理论价值和实践意义。

关键词：建筑微电网；多目标优化；粒子群算法；储能配置；可再生能源消纳

ABSTRACT

With the rapid development of renewable energy technologies and the increasing prominence of building energy consumption issues, building microgrids have emerged as a critical technical solution for integrating distributed energy resources, energy storage systems, and load management, offering an important pathway to achieving low-carbon and efficient energy utilization. This study focuses on in-depth exploration of optimal operation strategies for building microgrids to enhance energy efficiency and reduce operational costs. To this end, a multi-ob jective optimization model-based operation strategy is proposed, which comprehensively considers key factors such as economic feasibility, environmental sustainability, and power supply reliability, while employing an improved particle swarm optimization algorithm for solving the model. A typical building microgrid model incorporating photovoltaic generation, wind power generation, energy storage devices, and controllable loads was constructed to validate the proposed strategy through simulation. The results demonstrate that the strategy can significantly decrease system operational costs and carbon emissions while meeting user demands and improving the accommodation capacity of renewable energy. Additionally, the study analyzes the impact of energy storage capacity configuration and load scheduling under different scenarios on system performance, further verifying the adaptability and robustness of the method. The primary innovation of this research lies in the integration of multi-ob jective optimization with intelligent algorithms, providing scientific evidence and technical support for the practical application of building microgrids. The findings hold significant theoretical and practical implications for promoting energy transition in the building sector.

Keywords: Building Microgrid; Multi-ob jective Optimization; Particle Swarm Algorithm; Energy Storage Configuration; Renewable Energy Accommodation

摘要 I

ABSTRACT II

第1章绪论 1

1.1 建筑微电网优化运行的研究背景 1

1.2 建筑微电网优化运行的意义分析 1

1.3 国内外研究现状综述 1

1.4 本文研究方法与技术路线 2

第2章建筑微电网运行特性分析 3

2.1 微电网基本构成与功能特点 3

2.2 建筑负荷特性及其分类 3

2.3 分布式能源接入对微电网的影响 4