Wind integrated power system to reduce emission: An application of Bat algorithm

Author:

Venkateswara Rao B.1,Devarapalli Ramesh23,Malik Hasmat4,Bali Sravana Kumar5,García Márquez Fausto Pedro6,Chiranjeevi Tirumalasetty7

Affiliation:

1. Department of EEE, V R Siddhartha Engineering College, Vijayawada, India

2. Department of EE, BIT Sindri, Dhanbad, Jharkhand, India

3. Department of EE, IIT (ISM), Dhanbad, Jharkhand, India

4. BEARS, University Town, NUS Campus Singapore

5. Department of EEE, GITAM Deemed University, Visakhapatnam, India

6. Ingenium Research Group, University of Castilla-La Mancha, Spain

7. Department of EE, Rajkiya Engineering College Sonbhadra, Uttar Pradesh, India

Abstract

The trend of increasing demand creates a gap between generation and load in the field of electrical power systems. This is one of the significant problems for the science, where it require to add new generating units or use of novel automation technology for the better utilization of the existing generating units. The automation technology highly recommends the use of speedy and effective algorithms in optimal parameter adjustment for the system components. So newly developed nature inspired Bat Algorithm (BA) applied to discover the control parameters. In this scenario, this paper considers the minimization of real power generation cost with emission as an objective. Further, to improve the power system performance and reduction in the emission, two of the thermal plants were replaced with wind power plants. In addition, to boost the voltage profile, Static VAR Compensator (SVC) has been integrated. The proposed case study, i.e., considering wind plant and SVC with BA, is applied on the IEEE30 bus system. Due to the incorporation of wind plants into the system, the emission output is reduced, and with the application of SVC voltage profile improved.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference22 articles.

1. A New Survey for Optimum Power Flow with Facts Devices

2. Optimal power flow with FACTS devices using differential evolution;Basu;International Journal of Electrical Power & Energy Systems,2008

3. Optimal Location of Thyristor-controlled Series Capacitor to Enhance Power Transfer Capability Using Firefly Algorithm;Bathina;Electric Power Components and Systems,2014

4. Optimal power flow with emission and non-smooth cost functions using backtracking search optimization algorithm;Chaib;International Journal of Electrical Power & Energy Systems,2016

5. Optimal power flow with emission controlled using firefly algorithm;Herbadji;2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), IEEE, Hammamet

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3