Automation of Electric Power SystemsVol. 39, Issue 15, Pages: 17-23(2015)
作者机构:
西安交通大学电气工程学院,陕西省,西安市,710049
作者简介:
基金信息:
DOI:
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Published:2015
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ZHANG Zhong. [J]. Automation of electric power systems, 2015, 39(15): 17-23.
DOI:
ZHANG Zhong. [J]. Automation of electric power systems, 2015, 39(15): 17-23.DOI:
基于负荷分类调度的孤岛型微网能量管理方法
摘要
目前
国内外对微网运行的能量管理研究已取得了一定的成果
但是
主要是针对并网型微网运行的研究
而对孤岛型微网能量管理的研究还相对较少。因此
针对孤岛型微网的运行特点
研究了微网中的需求侧管理与调度方法
建立了孤岛型微网能量管理的优化调度模型。首先分析了在微网中开展需求侧管理的意义
将微网内的负荷按重要程度和用电特性分为三类
并作为可调度的对象。其次以总运行费用与停电损失之和最小为目标
计及停电量约束、储能设备运行约束和备用容量约束等条件
建立了孤岛型微网能量管理的混合整数规划模型
并使用CPLEX软件进行求解。算例结果表明
引入需求侧管理增加了孤岛型微网能量管理的灵活性
提高了可再生能源发电的利用率
降低了微网的运行成本。
Abstract
Currently
studies on energy management of microgrid operation have gained some achievement at home and abroad. However
most of the studies are concerned with the grid-connected microgrid while those on the islanded microgrid are relatively few. So
with an eye to the operation characteristics of the island microgrid
the demand-side management and dispatching method are enumerated. And an optimal operation model for energy management of an island microgrid is developed. Firstly
the significance of conducting demand-side management in the microgrid is analyzed. The load in the island microgrid is classified into three classes and treated as schedulable variables based on their electrical features and degree of importance. Secondly
a mixed integer programming optimization scheduling model is exploited to minimize the sum of the total operating cost and the value of lost load considering related constraints and then solved by CPLEX software. Simulation results show that the introduction of the demand-side management has enhanced the flexibility of energy management of the island microgrid
and increased the utilization of renewable energy
which eventually contributes to the reduction in the operating cost of the microgrid. This work is supported by National High Technology Research and Development Program of China (863 Program) (No. 2011AA05A103) and National Natural Science Foundation of China (No. 51277141).