Energy management system for local energy market in microgrid consisting fuel cell

Energy Management System (EMS) is capable of finding the best solution to fulfill the demand of consumers completely, continuously and quickly. This paper evaluates the energy management system of a microgrid consisting fuel cell in day ahead market (DAM). EMS is used to obtain power profile of all generating sources and load for each trading interval. Local Energy Market(LEM) concept have been used to develop an algorithm for finding the Market Clearing Price(MCP) for Single Sided Auction(SSA) market and Double Sided Auction(DSA) market. The system used in this paper consists of PV (solar panel), WT (wind turbine), MT (microturbine), EWH (dump load), consumer load and Fuel cell (used as an energy storage device). Fuel cell is also modeled using various equations. Results demonstrate the difference between total cost for SSA and DSA market model.

[1]  A. Bakirtzis,et al.  Bidding strategies for electricity producers in a competitive electricity marketplace , 2004, IEEE Transactions on Power Systems.

[2]  Shin'ya Obara,et al.  Operational planning of an independent microgrid containing tidal power generators, SOFCs, and photovoltaics , 2013 .

[3]  Hongbo Ren,et al.  A MILP model for integrated plan and evaluation of distributed energy systems , 2010 .

[4]  A. T. Holen,et al.  Operation planning of hydrogen storage connected to wind power operating in a power market , 2006, IEEE Transactions on Energy Conversion.

[5]  Andreas Sumper,et al.  Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets , 2013 .

[6]  K. V. Vidyanandan.  Frequency regulation in microgrid using wind — Fuel cell — Diesel generator , 2012, 2012 IEEE Power and Energy Society General Meeting.

[7]  S. Chanana,et al.  Operation and control of a hybrid photovoltaic-diesel-fuel cell system connected to micro-grid , 2012, 2012 IEEE Fifth Power India Conference.

[8]  Caisheng Wang,et al.  Real-Time Energy Management of a Stand-Alone Hybrid Wind-Microturbine Energy System Using Particle Swarm Optimization , 2010, IEEE Transactions on Sustainable Energy.

[9]  William W. Hogan.  Multiple Market-Clearing Prices, Electricity Market Design and Price Manipulation , 2012 .

[10]  Zita Vale,et al.  An Electricity Day-Ahead Market Simulation Model , 2003 .

[11]  Andreas Sumper,et al.  A review of energy storage technologies for wind power applications , 2012 .

[12]  Paulo F. Ribeiro,et al.  Distributed generation support for voltage regulation: An adaptive approach , 2014 .

[13]  Cecilia Wallmark,et al.  Design of stationary PEFC system configurations to meet heat and power demands , 2002 .

[14]  Saurabh Chanana,et al.  Simulation of Energy Management System for Local Energy Market in microgrids , 2016, 2016 IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS).