지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.3
- 수록면
- 108 - 118 (11page)
- DOI
- 10.5207/JIEIE.2018.32.3.108
이용수
초록· 키워드
오류제보하기
Due to the rising concerns about global warming, Korean government is encouraging the penetration of electrical vehicles (EVs). Integrating a large number of EVs may expose the distribution systems to high voltage drops and increased energy losses. In this paper, we have carried out the optimal planning of distributed generators (DGs) in a Korean distribution feeder to enhance the penetration of EVs. The optimization problem is formulated as a mix-integer non-linear programming for minimizing the energy losses in the distribution feeder. The real traffic volume of Seoul, Korea is used for modelling the power demand of EVs. Wind and dispatchable DGs are considered as the DG-types, and Weibull distribution is applied to model the probabilistic behavior of wind speed. In order to estimate the parameters of Weibull distribution from the wind speed data, maximum likelihood estimation method is employed. The optimization problem is solved using genetic algorithm. Moreover, four test cases are considered for the simulation on the distribution system to validate the performance of the proposed planning approach. The results show that the energy losses caused by the integration of EVs are reduced while the voltage profile of the distribution feeder is enhanced.
목차
Abstract
1. Introduction
2. Modelling of DERs and EVs
3. Problem formulation and optimization algorithm
4. Test system and test cases
5. Results and discussion
6. Conclusion
References
참고문헌 (17)
참고문헌 신청
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L. K. Panwar, Srikanth Reddy K, A. Verma, B. K. Panigrahi and R. Kumar, “Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots,” 2016 IEEE 6th International Conference on Power Systems (ICPS), New Delhi, 2016, pp. 1-6.
T. P. Ezhil Reena Joy, K. Thirugnanam and P. Kumar, “A new concept for bidirectional inductively coupled battery charging system based on ac-dc-ac converter for PHEV's and EV's using fuzzy logic approach,” 2012 IEEE Transportation Electrification Conference and Expo (ITEC), Dearborn, MI, 2012, pp. 1-6.
A. Cortes and S. Martinez, “A hierarchical demand-response algorithm for optimal vehicle-to-grid coordination,” 2015 European Control Conference (ECC), Linz, 2015, pp. 2420-2425.
M. Singh, P. Kumar and I. Kar, “Coordination of multi charging station for Electric Vehicles and its utilization for vehicle to Grid scenario,” 2012 IEEE Transportation Electrification Conference and Expo (ITEC), Dearborn, MI, 2012, pp. 1-7.
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