http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Naji El Idrissi Rajaa (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
Game Theory Approach for Energy Consumption Scheduling of a Community of Smart Grids
Naji El Idrissi Rajaa,Ouassaid Mohammed,Maaroufi Mohamed 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4
This study analyzes the potential of an independent method of dynamic pricing schemes to reduce the peak demand in the neighborhood area. For this, this work develops a collective energy consumption scheduling (CECS) algorithm in the residential sector based on a combination of energy consumption plans under a bi-level game theory method. The local level is responsible of gathering internal users’ data and reducing the energy consumption in each residential building. The central level is the external demand management system that is focused on modeling a coalition between the local load management modules, as well as giving the redistributed demand profile to increase the global profit through a peak load minimization, financial gain and peak-to-average-ratio reduction. Four controllable appliances are included in load shifting and time activation cycling: clothes dryer units, heating, ventilation and air conditioning systems, electric water heater, and electric vehicle. The principle of the proposed CECS method relies on the flexibility of the user requirement that presents one of the contributions of this study. It proposes a novel framework for determining optimal non-static load management strategies, in which consumers can change their daily power demand patterns depending on their routines, preferences and requirements. Numerical results show that time-varying schemes encourage customers to condense their electricity consumption within low-price periods. However, by incorporating the proposed approach of coordinated scheduling algorithm significant profits in the whole and single level are demonstrated. Simulations infer that given the same load profiles, the proposed framework outperforms the non-coordinated strategy leading to important rates in total peak load minimization, total saving in electricity bills and reduction of peak-to-average-ratio.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
