ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 An Adaptive Recursive Control Method for Peak Shaving in Zero Energy Community
Cited 0 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
남홍순, 정연쾌
발행일
201912
출처
International Conference on Advances in Mobile Computing and Multimedia (MoMM) 2019, pp.1-5
DOI
https://dx.doi.org/10.1145/3365921.3365946
협약과제
19PH1700, 제로에너지타운 에너지클라우드 구현을 위한 융합기술 개발, 정연쾌
초록
This paper proposes an adaptive recursive control method for peak shaving in zero energy community (ZEC). A ZEC uses renewable energy resources for power generation, however, which may increase the energy gap between demand and supply. Therefore, if no proper measure is applied, electricity costs are not adequately saved. The proposed method is to control energy storage systems (ESSs) to reduce both energy charge and demand charge simultaneously. It firstly calculates ESS control power depending on time-sensitive energy pricing for energy charge reduction and then recalculates the control power to mitigate peak powers for demand charge reduction using an adaptive recursive control method. Simulation results show that the method can effectively mitigate peak powers resulting in cost reduction.
키워드
Demand response, Demand side management, Energy storage system, Peak shaving, Real-time pricing, Zero energy community
KSP 제안 키워드
Control energy, Demand Charge Reduction, Demand and supply, Electricity cost, Energy charge, Energy gap, Peak Shaving, Power generation, Real-time pricing, Renewable energy resources, Time-sensitive