Title :
Smart load management in demand response using microgrid EMS
Author :
Hee-Jun Cha ; Jin-Young Choi ; Dong-Jun Won
Author_Institution :
Dept. Electr. Eng., INHA Univ., Incheon, South Korea
Abstract :
The demand response (DR) is a key technology in smart grid and can solve the transmission line congestion, defer generation plants construction, and increase the system stability. This paper proposes the operation scheme of an industrial load, which participates in DR, considering the electricity price and the labor costs. The proposed scheduling scheme economically shifts the operation time of the industrial load from the emergency DR (EDR) time to the off-peak time. The proposed algorithm is tested in a hardware in the loop Simulation (HILS) system with OPAL-RT. The HILS system was composed of agents to manage the distributed generation(DG), energy storage system (ESS), smart load, and MicroGrid Central Controller (MGCC) to control and monitor the whole system. The simulation results by MATLAB show that the proposed algorithm effectively manages the smart load in Real-time pricing and EDR and a communication test is performed in the HILS system.
Keywords :
distributed power generation; load management; demand response; distributed generation; electricity price; energy storage system; hardware in the loop simulation system; industrial load; labor costs; microgrid EMS; microgrid central controller; scheduling scheme; smart load management; Electricity; Load management; Microgrids; Pricing; Production; Real-time systems; Scheduling algorithms; Demand Response; Hardware in-the-loop Simulation; Load Management; Multi-agent system; Smart Grid;
Conference_Titel :
Energy Conference (ENERGYCON), 2014 IEEE International
Conference_Location :
Cavtat
DOI :
10.1109/ENERGYCON.2014.6850522