园区微电网风光储协调优化配置

Coordinate and Optimize the Allocation of Wind, Solar and Storage in the Park’s Microgrid

在当前能源转型和可持续发展的背景下,园区微电网的优化配置问题至关重要。本文深入研究了园区微电网中的风能、光伏和储能系统的协调优化配置,提出了一个详细的数学模型和相应的优化算法。研究的主要目标是提高风能和光伏发电量的利用率,减少弃电现象,并优化储能系统的经济效益。具体来说,本文首先建立了园区微电网中风能、光伏和储能系统的协调优化模型。通过该模型,可以精确计算出不同情况下的发电量、用电量和储能需求。接着,本文提出了一套粒子群优化优化算法,通过该算法可以在不同运行模式下对微电网进行优化配置。本文详细分析了三种典型情景:独立运行、联合运行和风光储协调配置。在独立运行情景下,风能和光伏系统独立工作,储能系统单独运行;在联合运行情景下,风能和光伏系统联合工作,但不与储能系统协调;在风光储协调配置情景下,风能、光伏和储能系统实现高度协同工作。通过对这三种情景的详细分析,本文评估了每种情景下园区能源配置方案的经济性和可行性。研究结果表明,通过合理的优化配置,可以显著提高风光电量的利用率,减少电力浪费,同时最大化储能系统的经济效益。基于这些分析结果,本文制定了具体的优化策略,为园区微电网的规划和运行提供了科学的决策支持。最终,这些研究成果不仅有助于园区微电网的高效运行,还为未来的能源转型和可持续发展提供了重要参考。

In the current context of energy transition and sustainable development, the optimal allocation of campus microgrids is crucial. In this paper, the coordinated optimal configuration of wind, photovoltaic and energy storage systems in the campus microgrid is studied in depth, and a detailed mathematical model and corresponding optimization algorithm are proposed. The main objectives of the research are to improve the utilization of wind and photovoltaic power generation, reduce curtailment, and optimize the economic benefits of energy storage systems. Specifically, this paper first establishes a coordinated optimization model of wind, photovoltaic and energy storage systems in the campus microgrid. With this model, it is possible to accurately calculate the amount of power generated, the amount of electricity used, and the demand for energy storage under different scenarios. Then, this paper proposes a set of particle swarm optimization optimization algorithms, through which the microgrid can be optimally configured in different operating modes. This paper analyzes in detail three typical scenarios: independent operation, joint operation, and coordinated configuration of wind, solar, and storage. In the stand-alone operation scenario, the wind energy and photovoltaic systems work independently, and the energy storage system operates independently. In the joint operation scenario, wind and photovoltaic systems work together, but not in coordination with energy storage systems;In the scenario of coordinated allocation of wind, solar and storage, wind energy, photovoltaic and energy storage systems work highly together. Through a detailed analysis of these three scenarios, this paper evaluates the economics and feasibility of the energy allocation scheme in each scenario. The results show that the utilization rate of wind and solar power can be significantly improved, the power waste can be reduced, and the economic benefits of the energy storage system can be maximized through reasonable optimal allocation. Based on these analysis results, this paper formulates specific optimization strategies to provide scientific decision support for the planning and operation of campus microgrids. In the end, these research results not only contribute to the efficient operation of the campus microgrid, but also provide an important reference for future energy transition and sustainable development.