Multi-Objective Optimization of a Stand-alone Hybrid PV/wind/battery/diesel Micro-grid

被引：0

作者：

Omar, Ahmed Shaban ^{[1
]}

Mohamed, Al-Attar Ali ^{[1
]}

Senjyu, Tomonobu ^{[2
]}

Hemeida, A. M. ^{[1
]}

机构：

[1] Aswan Univ, Fac Energy Engn, Aswan, Egypt

[2] Univ Ryukyus, Fac Engn, Nishihara, Okinawa, Japan

来源：

2019 IEEE CONFERENCE ON POWER ELECTRONICS AND RENEWABLE ENERGY (IEEE CPERE) | 2019年

关键词：

Hybrid Micro-grid System; Multi-Objective optimization; Renewable energy; TECHNOECONOMIC OPTIMIZATION; DIFFERENTIAL EVOLUTION; SYSTEM; ALGORITHM; TECHNOLOGY;

D O I：

10.1109/cpere45374.2019.8980178

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Renewable energy resources are promising solution to meet the increasing energy demand and corresponding conventional resources depletion. Hybrid Micro-Grid System (HMGS) can utilize all energy resources in a certain location. In this paper, a HMGS consists of PV, wind, and battery integrated with diesel generator is considered. The problem of optimal component sizing is formulated in multi-objective optimization framework considering three objective functions, cost of Electricity (COE), Loss of Power Supply Probability (LPSP), and Renewable Factor (RF). Two planning scenarios, namely PV/wind/battery and PV/wind/battery/diesel, are modeled and used. In the study, the hourly meteorological data for SHLATEEN city in EGYPT is used. The proposed energy management strategy is applied during supplying the load. Then, the results of different three multi-objective optimization algorithms are compared to obtain the most reliable and cost-effective system configuration.

引用

页码：391 / 396

页数：6

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