Open AccessHierarchical energy management mechanisms for an electricity market with microgrids
Author(s) -
Yang HongTzer,
Liao JianTang
Publication year - 2014
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2014.0185
Subject(s) - bidding , electricity market , distributed generation , renewable energy , computer science , grid , electricity , demand response , environmental economics , controller (irrigation) , energy management system , energy management , smart grid , fuzzy logic , electricity retailing , energy storage , business , energy (signal processing) , engineering , electrical engineering , economics , power (physics) , artificial intelligence , biology , geometry , marketing , quantum mechanics , agronomy , physics , mathematics , statistics
This study addresses a micro‐grid electricity market (MGEM) with day‐ahead (DA) and real‐time market mechanisms integrated. The bidding mechanisms for the market are described in this study, considering the generation cost of different distributed energy resources (DERs), like distributed generator, energy storage system and demand response. Including load and renewable generation forecasting systems and a fuzzy decision supporting system, a hierarchical micro‐grid energy management system (MG‐EMS) is then proposed to ensure the benefits of involved micro‐grid central controller, DER owners and customers. To verify the feasibility of the proposed system, the whole‐year historical pricing and load data for New England independent system operator are employed. The numerical results show that the proposed MG‐EMS is promising and effective for the operations of MGEM.