Optimal Design and Planning of Electric Vehicles Within Microgrid

被引：3

作者：

Alkhafaji, Mohammed ^{[1
]}

Luk, Patrick ^{[1
]}

Economou, John ^{[2
]}

机构：

[1] Cranfield Univ, Bedford MK43 0SX, England

[2] Cranfield Univ, Swindon SN6 8LA, Wilts, England

来源：

ADVANCED COMPUTATIONAL METHODS IN ENERGY, POWER, ELECTRIC VEHICLES, AND THEIR INTEGRATION, LSMS 2017, PT 3 | 2017年 / 763卷

关键词：

Microgrid optimisation; Charging station operator; Unit commitment; Mixed integer quadratic programming (MIQP); OF-THE-ART; SMART; TRENDS;

D O I：

10.1007/978-981-10-6364-0_68

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Optimal allocation and economic dispatch of the distributed generators (DGs) and electric vehicles (EVs) are very important to achieve resilience operating of future microgrids. This paper presents a new energy management concept of interfacing EV charging stations with the microgrids. Optimal scheduling operation of DGs and the EVs is used to minimize the total combined operating and emission costs of a hybrid microgrid. The problem was solved using a mixed integer quadratic programming (MIQP) approach. Different kinds of distributed generators with realistic constraints and charging stations for various EVs with the view to optimizing the overall microgrid performance are investigated. The results have convincingly revealed that discharging EVs could reduce the total cost of the microgrid operation.

引用

页码：677 / 690

页数：14

共 20 条

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