﻿ 微电网日前优化调度的研究 Research on the Scheduling of Micro-Grid

Vol.06 No.04(2017), Article ID:21452,18 pages
10.12677/AAM.2017.64064

Research on the Scheduling of Micro-Grid

Yan Wu1, Chang Xu2, Zhao Jiang2

1College of Science, China Three Gorges University, Yichang Hubei

2School of Computer Science, China Three Gorges University, Yichang Hubei

Received: Jul. 2nd, 2017; accepted: Jul. 17th, 2017; published: Jul. 21st, 2017

ABSTRACT

This paper studies the problem of micro-grid optimization. Requirements in the battery, renewable energy photovoltaic power generation, fan power generation and micro-network and power grid exchange power in a coordinated combination of circumstances, calculate the composition of the load of each time, the total power supply costs and the average purchase price. Firstly, the data of the attachment are analyzed, and the time-interval calculation model, the single-objective integer programming model and Single Target Nonlinear Optimization Model are established respectively. Then, combining the two binary enumerations, the three sub-indicators of the average purchase price, the total power supply cost and the load of each period are calculated by MATLAB programming; finally, the image is analyzed by the obtained data, and the utilization of renewable energy is obtained.

Keywords:Microgrid, Integer Programming, Enumeration Method, Single Target, Nonlinear Optimization

1三峡大学理学院，湖北 宜昌

2三峡大学计算机学院，湖北 宜昌

1. 引言

2. 微电网日前优化调度的数学模型

2.1. 模型假设

1) 蓄电池充放电过程中，不计蓄电池损耗；

2) 无可再生能源条件下，关闭风机和光伏装置；

3) 电池充放电功率在一个时间间隔内保持不变；

4) 风机和光伏发电功率在一个时间间隔内保持不变。

2.2. 模型的求解思路

2.3. 数据处理

Figure 1. The power of wind, photovoltaic, electricity demand changes over time

3. 模型的求解

3.1. 问题一的求解

3.1.1. 模型的准备

3.1.2. 模型的建立

1) 无可再生能源情况下：

2) 有可再生能源情况下：

3.1.3. 模型的求解

1) 无可再生能源情况下：

2) 可再生能源完全利用情况下：

Table 1. The related data of no renewable energy

Table 2. The related data of renewable energy

3.1.4. 模型的结果分析

3.2. 问题二的求解

3.2.1. 模型求解的思路流程图

3.2.2. 模型的建立

3.2.3. 模型的求解

Figure 3. Model flow diagram

Table 3. Optimization of each part of each system

Table 4. Exchange of energy and the cost for the selective acceptance of renewable energy

Figure 4. The use of wind power

Figure 5. The use of photovoltaic power generation

3.2.4. 模型的结果分析

3.3. 问题三的求解

3.3.1. 模型的建立

3.3.2. 模型的求解

Table 5. Optimization of each part of each system

Table 6. The situation of exchange and cost when renewable energy is fully utilized with income of battery

Figure 6. SOC changes over time

3.3.3. 模型的结果分析

4. 总结与展望

Research on the Scheduling of Micro-Grid[J]. 应用数学进展, 2017, 06(04): 529-546. http://dx.doi.org/10.12677/AAM.2017.64064

1. 1. 苗雨阳. 微电网优化调度研究[D]: [博士学位论文]. 北京: 华北电力大学, 2013.

2. 2. 杨艳红, 裴玮, 邓卫. 计及蓄电池储能寿命影响的微电网日前调度优化[J]. 中国科学院电工技术学报, 2015, 30(1): 172-180.

3. 3. 洪博文. 微网调度优化模型与方法研究[D]: [博士学位论文]. 天津: 天津大学, 2014.

4. 4. 时珊珊, 鲁宗相, 周双喜, 闵勇. 中国微电网的特点和发展方向[J]. 中国电力, 2009, 42(7): 21-25.

5. 5. 王辉. 微电网经济运行优化[D]: [博士学位论文]. 广州: 华南理工大学, 2014.

6. 6. 李莉华, 李宾皑. 微电网技术的研究与应用前景[J]. 电力与能源, 2011, 32(2): 124-126.

1.投稿前咨询服务 (QQ、微信、邮箱皆可)

2.为您匹配最合适的期刊

3.24小时以内解答您的所有疑问

4.友好的在线投稿界面

5.专业的同行评审

6.知网检索

7.全网络覆盖式推广您的研究