OPERATIONAL OPTIMIZATION FOR MICROGRID OF BUILDINGS WITH DISTRIBUTED SOLAR POWER AND BATTERY

被引：27

作者：

Zhang, Yuanming ^{[1
]}

Jia, Qing-Shan ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Automat, Tsinghua Natl Lab Informat Sci & Technol TNList, Ctr Intelligent & Networked Syst CFINS, Beijing 100084, Peoples R China

来源：

ASIAN JOURNAL OF CONTROL | 2017年 / 19卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Microgrid of buildings; energy efficiency; solar power; stochastic programming; scenario method; ENERGY-EFFICIENT BUILDINGS; SCENARIO REDUCTION; PV SYSTEM; MANAGEMENT; CONSUMPTION; SIMULATION;

D O I：

10.1002/asjc.1424

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Improving building energy efficiency is significant for energy conservation and environmental protection. When there are multiple buildings with solar power generation and batteries connected in a microgrid, coordinating the distributed energy supply and consumption may substantially improve the energy efficiency. We consider this important problem in this paper and make the following three major contributions. First, we formulate the operation optimization of a microgrid of buildings as a two-stage stochastic programming problem. Second, the problem is transformed into a stochastic mixed-integer linear programming. Then the scenario method is used to solve the problem. Third, case studies of a university campus is presented. The numerical results show that coordinating the distributed solar power and battery can reduce the operational cost of the microgrid.

引用

页码：996 / 1008

页数：13

共 32 条

[1] Can microgrids make a major contribution to UK energy supply? [J].