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2019 Vol.13, Issue 4 Preview Page

Research Article

Performance Comparison for Micro-Grid Operation with Meta Heuristic Methods

초소형 마이크로그리드 최적 전력운영을 위한 메타 휴리스틱 기법 성능 비교분석

Myung-Hee Lee1
,
Jin-Hwa Jeong1
,
Young-Tae Chae1*
이 명희1
,
정 진화1
,
채 영태1*
1Division of Architectural Engineering, Cheongju University
1청주대학교 건축공학과
* Corresponding Author
30 August 2019. pp. 246-257
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Abstract

This paper presents optimal electricity power operation compared with different meta heuristic methods in of micro-grid. We also evaluate operation price using the selected optimization method based on subsidy system of DERs (distributed energy resources). The meta-heuristic methods show that the averaged electricity load are reduced 6,066 kWh per month (▼9.45%) and electricity price are saved 778,000 KRW per month (▼11.78%) compared to original operation method without DERs. Among them, the MILP (Mixed-integer Linear Programming) method shows not only outperformed optimization performance but also can reduce operation price of 2% compared with other methods. We then evaluate the operation price applying subsidy system of DERs based on MILP method. The results show that 2,207,000 KRW per month (▼30.31%) of total operation price can saved by using MILPS (Mixed-integer Linear Programming with subsidy) compared with MILP method for a month. Finally, MILPS method can reduce price savings of 3,037,000 KRW (▼37.45%) compared with the original operation method for a month.

Keywords
Meta heuristic method
Distributed energy resources
Optimized operation
Electricity price system
Micro-Grid

키워드
메타 휴리스틱 기법
분산자원
최적 전력운영
국내 전력요금제
마이크로그리드
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Information
  • Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
  • Publisher(Ko) :한국건축친환경설비학회
  • Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
  • Journal Title(Ko) :한국건축친환경설비학회논문집
  • Volume : 13
  • No :4
  • Pages :246-257
  • Received Date : 2019-07-22
  • Revised Date : 2019-08-26
  • Accepted Date : 2019-08-29
  • DOI :https://doi.org/10.22696/jkiaebs.20190021
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