The most-economic design of a hybrid micro-grid considering different load patterns

Author:

AbdElrazek Ahmed S.1,Ibrahim Khalid H.1,Saleh Saber M.1,Hassan Amir Y.

Affiliation:

1. Fayoum University

Abstract

Abstract In this paper, the effect of the load pattern on the optimal configuration of a stand-alone PV-Wind hybrid system based on minimum cost is studied. The proposed hybrid system consists mainly of PV modules and wind turbines (WT) in addition to diesel generators (DG) and batteries (BT) for supplying both peak demand and generation shortages. Three different load patterns with the same consumption of energy are proposed to find the most economical design of a stand-alone hybrid system through two optimization techniques: cuckoo search (CS) and white shark (WS). The proposed configurations of stand-alone hybrid systems are as follows: PV/WT, PV/WT/BT, and PV/WT/BT/DG. On the other hand, the load patterns proposed are as follows; daily load, all-day distributed load, and nightly load. Results show that the optimal configuration and the cost are dependent of the load pattern. Also the results show that both of WC and CS have the same steady-state solutions, the differences appear in the number of iterations needed to reach the steady-state.

Publisher

Research Square Platform LLC

Reference43 articles.

1. The role of storage technologies for the transition to a 100% renewable energy system in Europe;Child M;Energy Procedia,2018

2. Karthikeyan V, Rajasekar S, Das V, et al (2017) Smart Energy Grid Design for Island Countries. Challenges and Opportunities

3. Hybrid generation systems planning expansion forecast state of the art review: Optimal design vs technical and economical constraints;Mohammed OH;J Electr Syst,2016

4. Optimization of renewable energy penetration in regional energy system;Zhang D;Energy Procedia,2018

5. Sizing of a stand-alone PV–wind–battery–diesel hybrid energy system and optimal combination using a particle swarm optimization algorithm;Boujdaini L;Electr Eng,2022

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