Hierarchical energy management mechanisms for an electricity market with microgrids
Copyright policy )Hierarchical energy management mechanisms for an electricity market with microgrids
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.
power distribution economics, power generation control, renewable generation forecasting systems, day-ahead market mechanism, power distribution control, energy storage system, distributed energy resources, fuzzy decision supporting system, distributed power generation, whole-year historical pricing, load management, real-time market mechanism, fuzzy set theory, pricing, hierarchical energy management mechanisms, power generation economics, load generation forecasting systems, New England independent system operator, power engineering computing, demand side management, bidding mechanisms, microgrid central controller, control engineering computing, DER, Engineering (General). Civil engineering (General), demand forecasting, generation cost, demand response, power markets, microgrid electricity market, TA1-2040, load data, decision support systems, MGEM, distributed generator
power distribution economics, power generation control, renewable generation forecasting systems, day-ahead market mechanism, power distribution control, energy storage system, distributed energy resources, fuzzy decision supporting system, distributed power generation, whole-year historical pricing, load management, real-time market mechanism, fuzzy set theory, pricing, hierarchical energy management mechanisms, power generation economics, load generation forecasting systems, New England independent system operator, power engineering computing, demand side management, bidding mechanisms, microgrid central controller, control engineering computing, DER, Engineering (General). Civil engineering (General), demand forecasting, generation cost, demand response, power markets, microgrid electricity market, TA1-2040, load data, decision support systems, MGEM, distributed generator
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