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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.16 No.3
- 발행연도
- 2017.9
- 수록면
- 427 - 436 (10page)
- DOI
- 10.7232/iems.2017.16.3.427
이용수
초록· 키워드
오류제보하기
This paper presents an approach for optimal sizing and sitting of distribution generation units in smart microgrid under pool electricity market to reduce total cost and power loss of whole smart microgrid. The costs comprise capital cost, replacement cost, operation and maintenance cost, fuel cost, reliability cost, power loss cost and selling and buying electricity cost. The new idea of this paper is the investigation of pool electricity market aspects in optimization of smart microgrid. On the other hand, cost minimization of smart microgrid is related to their bidding strategies. Therefore two different optimization tools are considered. First, a game-theoretical (GT) model has been used for bidding strategy of smart microgrid as a price-maker, in a long-term electricity market. Secondly, a particle swarm optimization (PSO) algorithm is employed to obtain the best cost value of smart microgrids construction. This study was performed for the Ekbatan residential complex in Tehran, Iran. It has three smart microgrids consist of renewable energy resources. They participate in a long-term electricity market as a price maker. The results show that the proposed method is more effective and has lower cost in finding optimum size and location of distribution generation in smart microgrids.
목차
ABSTRACT
1. INTRODUCTION
2. PROPOSED STRUCTURE OF SMART MICROGRID BASED ON RENEWABLE ENERGY RESOURCES
3. CONCEPTUAL MODELING OF UNCERTAINTY
4. PARTICIPATION OF SMART MICROGRID IN THE COMPETITIVE ELECTRICITY MARKET
5. OBJECTIVE FUNCTION
6. SIMULATION RESULTS
7. CONCLUSION
REFERENCES
참고문헌 (37)
참고문헌 신청
Alinejad-Beromi, Y., Sedighizadeh, M., and Sadighi, M. (2008), A particle swarm optimization for sitting and sizing of distributed generation in distribution network to improve voltage profile and reduce THD and losses, Proceedings of the 43rd Universities Power Engineering Conference, Padova, Italy, 1-5.
Billinton, R. and Allan, R. N. (1984), Reliability evaluation of power systems, New York, Plenum Press.
Billinton, R. and Allan, R. N. (1992), Reliability evaluation of engineering systems: Concepts and techniques (2nd ed), Plenum Press, New York, NY.
Chung, T. S., Zhang, S. H., Wong, K. P. Yu, C. W., and Chung, C. Y. (2004), Strategic forward contracting in electricity markets: Modeling and analysis by equilibrium method, IEE Proceedings - Generation, Transmission and Distribution, 151(2), 141-149.
David, A. K. and Wen, F. (2000), Strategic bidding in competitive electricity markets: A literature survey, Proceedings of IEEE Power Engineering Society Summer Meeting, 4, 2168-2173.
Billinton, R. and Allan, R. N. (1992), Reliability evaluation of engineering systems: Concepts and techniques (2nd ed), Plenum Press, New York, NY.
Chung, T. S., Zhang, S. H., Wong, K. P. Yu, C. W., and Chung, C. Y. (2004), Strategic forward contracting in electricity markets: Modeling and analysis by equilibrium method, IEE Proceedings - Generation, Transmission and Distribution, 151(2), 141-149.
David, A. K. and Wen, F. (2000), Strategic bidding in competitive electricity markets: A literature survey, Proceedings of IEEE Power Engineering Society Summer Meeting, 4, 2168-2173.
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