风光储互补发电系统

南京师范大学

毕业设计（论文）

（2015 届）

题目：风光储互补发电系统优化配置算法研究学院：电气与自动化工程学院

专业：电气工程及其自动化

专业方向：电力系统及其自动化

班级：211104D 学号：21110335

姓名：徐谷超

指导教师：马刚职称：讲师

填写日期：2015年5月18 日

电气与自动化工程学院制

摘要

近年来，传统能源消耗的剧增以及全球变暖等问题受到全世界人们的广泛关注，愈来愈多的人将目光转向于可再生能源。风能、太阳能作为主要的可再生能源，已经具备高度的开发与利用水平。而两者所具有天然的互补性，使得风光储互补发电系统已经成为充分利用这两种可再生能源的重要途径，具有广阔的应用前景。

风光储互补发电系统的容量配置对整个系统的性能有着直接的影响，是系统设计的关键内容之一。本文针对发电系统容量的优化配置问题进行研究，主要内容如下：

(1) 基于风光储互补发电系统的基本结构与原理，结合实际工程的简化需要，建立光伏发电、风能发电的发电量模型及蓄电池的能量模型，为系统容量的优化配置提供模型基础。

(2) 深入分析风光储互补发电系统的性能，提出了全面的系统评价体系。该评价体系包括负荷正常工作率、能量浪费率、系统能量波动率及综合成本四项指标，能够从系统可靠性、能源利用率等多方位评估风光储互补发电系统的性能。

(3) 建立风光储互补发电系统中各发电单元容量的基本优化配置方法。提出基于遗传优化算法及权重系数变化法相结合的优化配置算法，优化风光储互补发电系统中各发电单元的容量配置。

(4) 基于Matlab 2012b软件的编程实现所提出的优化配置算法，以中国张家口地区的实际天气数据以及实际用电负荷设计算例，验证本文所提出优化配置方法的合理性。

关键词：可再生能源，风光储互补发电系统，优化配置，遗传算法，多目标优化

Abstract

In recent years, more people pay attention to the development and utilization of renewable energy for the problem of the increasing of traditional energy consumption and global warming. As the main renewable energy, solar and wind energy have the high development and utilization level. Wind-solar-battery hybrid power system has become the effective approach to taking advantage of these two kinds of renewable energy because of their natural complementarity, and this system has broad potential application.

Capacity configuration of wind-solar-battery hybrid power system has effect to the whole power system directly, and is one of the important segments for system design. This paper carries on an investigation into the optimal configuration problem of hybrid power system and the key research contents are as follows:

(1) Based on the basic structure and theory of wind-solar-battery hybrid power system, this paper takes the simplification requirement of practical engineering into account and establishes the wind power energy model, PV panel generation model, and battery energy model, which provides the foundation to the optimal configuration calculation.

(2) After analyzing the property of wind-solar-battery hybrid power system, the paper puts forward the all-sided evaluation system. In the evaluation system, it contains Normal Operation of Power Load Probability, Loss of Energy Probability, system energy fluctuation rate and comprehensive cost, so it can assess the performance of hybrid power system comprehensively, such as system reliability, energy utilization ratio.

(3) This paper establishes the basic optimal configuration method for wind-solar-battery hybrid power system and puts forward optimal configuration algorithm based on genetic algorithm and weight coefficient method. As a result, the capacity of generation unit in hybrid power system can be optimized.

(4) Based on the software Matlab 2012b, this paper realizes the proposed optimal configuration method, and verifies rationality of the optimal configuration method proposed in this paper by analyzing the example based on the weather data in Zhangjiakou and actual power load data.

Keywords: Renewable Energy Source, Wind-Solar-Battery Hybrid Power System, Optimal Configuration, Genetic Algorithm, Multi-objective Optimization.