微电网储能系统容量优化配置研究

发布时间：2018-02-09 20:00

本文关键词： 微电网微电源储能系统容量优化配置帕累托最优多目标粒子群优化算法　出处：《西安理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着经济的高速发展,化石能源随之日益短缺且全球气候不断变暖,在国内外研究领域微电网得到了前所未有的关注,作为集合可再生能源的有效形式,微电网在化石能源替代方面起到了日益关键的作用。储能是微电网的重要组成部分,在微网控制、微源波动平抑、电能质量补偿、应急供电等方面提供重要技术作用。由于现阶段储能造价较高且难以满足微网内的众多需求,在微电网优化配置中如何合理利用各类微源,如何协调微电网之间的负荷分配,如何最大限度地优化配置储能装置,如何量化评估微电网储能系统的容量配置具有重要的现实意义。微电网内部的储能系统可以有效的改善微电源的功率输出特性,提高微电网内部可再生能源发电单元的稳定性,同时可以给微电网提供短时供电,但是储能装置造价昂贵,如何合理选取储能的额定容量是保障微电网安全经济运行的重要前提。本文主要研究微电网储能系统容量的多目标优化配置问题。首先分析了微电网微源的运行模式和随机规划理论,其次针对传统储能系统容量无法科学定量配置,传统多目标算法解集单一,目标函数之间冲突的问题,提出了一种基于帕累托(Pareto)最优解集的微电网储能系统容量多目标优化配置的数学模型。以功率平衡最优、可再生能源波动最小、投资成本最低为目标,从功率限幅、储能系统放充电管理等角度分析了微电网储能系统的配置,通过仿真实例分析,验证了本文提出的方法可以有效的匹配可再生能源和负荷之间的平衡匹配系数,有效实现微电网储能容量的定量科学配置。为微电网储能系统容量的优化配置提供理论基础与实践依据。
[Abstract]:With the rapid development of economy, fossil energy is becoming increasingly scarce and the global climate is getting warmer. Microgrid has received unprecedented attention in the field of domestic and foreign research, as an effective form of gathering renewable energy. Microgrid plays an increasingly critical role in fossil energy substitution. Energy storage is an important part of microgrid. Because the cost of energy storage is high and it is difficult to meet the needs of microgrid at present, how to make rational use of all kinds of microsources and how to coordinate the load distribution between microgrid in the optimal configuration of microgrid, and how to coordinate the load distribution among microgrid. How to optimize the configuration of energy storage devices to the maximum extent, and how to quantitatively evaluate the capacity configuration of microgrid energy storage system have important practical significance. The energy storage system within microgrid can effectively improve the power output characteristics of micro-power supply. Improving the stability of renewable energy generation units within microgrids and providing short-term power supply to microgrids, but energy storage units are expensive, How to reasonably select the rated capacity of energy storage is an important prerequisite to ensure the safe and economical operation of microgrid. This paper mainly studies the multi-objective optimal configuration of the capacity of micro-grid energy storage system. Firstly, the operation of micro-source in micro-grid is analyzed. Patterns and stochastic programming theories, Secondly, aiming at the problem that the capacity of traditional energy storage system can not be configured scientifically and quantitatively, the traditional multi-objective algorithm solves the problem of single set and conflict between objective functions. In this paper, a mathematical model of multi-objective optimal allocation of energy storage system capacity in microgrid based on Pareto optimal solution set is proposed. The optimal power balance, the minimum fluctuation of renewable energy and the lowest investment cost are the targets. The configuration of microgrid energy storage system is analyzed from the point of view of discharge and charge management of energy storage system. The simulation example shows that the proposed method can effectively match the balance matching coefficient between renewable energy and load. The quantitative and scientific allocation of energy storage capacity of microgrid is realized effectively, which provides the theoretical basis and practical basis for the optimal allocation of energy storage system capacity in microgrid.
【学位授予单位】：西安理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM727

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