An Optimal Power Flow Approach for Stochastic Wind and Solar Energy Integrated Power Systems

被引：0

作者：

Shafiq, Sundas ^{[1
]}

Javaid, Nadeem ^{[1
]}

Asif, Sikandar ^{[1
]}

Ali, Farwa ^{[2
]}

Chughtai, Nasir Hussain ^{[3
]}

Khurshid, Nouman ^{[4
]}

机构：

[1] COMSATS Inst Informat Technol, Islamabad 44000, Pakistan

[2] Int Islamic Univ, Islamabad 44000, Pakistan

[3] Bahria Univ, Islamabad 44000, Pakistan

[4] Natl Univ Modern Languages, Islamabad 44000, Pakistan

来源：

COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS | 2019年 / 772卷

关键词：

Optimal Power Flow; Optimal scheduling; Genetic Algorithm; Wind power; Solar PV panels; SEARCH OPTIMIZATION ALGORITHM; BEE COLONY ALGORITHM;

D O I：

10.1007/978-3-319-93659-8_26

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, an optimal power flow (OPF) problem is formulated for economic operation of electrical system while incorporating stochastic and intermittent nature of solar photovoltaic (PV) and wind generators. The main objective of this study is the minimization of power generation cost and induction of uncertain renewable energy resources into the system while achieving the optimal setting of control variables. Besides, minimization of generation cost, concern on environment is also taken into account and reduction of carbon emission factor is included into the objective function. Genetic algorithm (GA) is used for optimization of an OPF problem. The proposed system is tested on IEEE 30 bus test system and achieved results are compared with literature to highlight the effectiveness of the system.

引用

页码：292 / 304

页数：13

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