Open AccessDemand response under real‐time pricing for domestic households with renewable DGs and storage
Author(s) -
Yang Qiang,
Fang Xinli
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1066
Subject(s) - demand response , electricity , renewable energy , computer science , energy storage , robustness (evolution) , electricity pricing , environmental economics , economic dispatch , electricity market , operations research , electric power system , power (physics) , economics , engineering , electrical engineering , biochemistry , physics , chemistry , quantum mechanics , gene
With the increasing penetration of small‐scale distributed generators (DGs) and storage units into the domestic areas and the emergence of real‐time pricing (RTP) of electricity, residents have more opportunities to obtain a cost‐effective energy management through the participation of demand side management. Unlike existing online solutions, this paper presents an alternative one‐day‐ahead energy dispatch solution to achieve the economic benefits of meeting the demand with minimised electricity purchase cost by optimising the DG and storage utilisation efficiency in the presence of RTP. The performance of the proposed solution is assessed through a comparative study by carrying out simulation experiments for a set of operational scenarios. The numerical result demonstrates that the proposed energy dispatch solution can well meet the demand requirement with significantly reduced electricity purchase cost. With the recognition that the prediction of RTP and DG output can often be inaccurate, the robustness of the solution is further verified under prediction errors.