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논문 기본 정보

자료유형
학술저널
저자정보
Furqan Asghar (University of Agriculture) Ali Rohan (Kunsan National University) Muhammad Talha (Plant and Energy Services Company PESCO) Yun-Jong Han (Nongboochon company) Sung-Ho Kim (Kunsan National University)
저널정보
한국지능시스템학회 한국지능시스템학회 논문지 한국지능시스템학회 논문지 제30권 제1호
발행연도
2020.2
수록면
28 - 39 (12page)
DOI
10.5391/JKIIS.2020.30.1.28

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Energy is always considered as fuel for growth of a country. Reduction of conventional energy resources, global environmental concerns and the ever increasing need of energy, are opening up new opportunities for utilization of renewable energy resources. Solar energy being easy to harness, non-polluting and never ending is one of the best renewable energy sources for electricity generation in present and future time. Due to its random and intermittent nature, PV plants require the adoption of an emergency diesel backup along with battery storage system and load management strategy to compensate fluctuations and to meet the load demand during night hours. Efficient, economic and technical model of fuzzy logic based load management for PV-diesel hybrid system with battery storage and dump load is being presented in this paper. Our aim is to present design and load management strategy for PV-Diesel hybrid system with battery storage and dump load to maximize the system performance and economic profitability. Performance of the proposed hybrid system is verified by simulation study. Simulation results showed that proposed system can overcome the disturbance of external environmental changes, and controls the energy flow in efficient and economical way. This proposed system is much effective, faster than hard switching control techniques presented in past.

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Abstract
1. Introduction
2. Hybrid PV-DG Battery Backup and Load Management System
3. Simulation Studies
4. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2020-003-000428861