Meisam Rezaeian

  Abstract:

  The MicroGrid (MG) concept assumes a cluster of loads and microsources operating as a single controllable system that provides both power and heat to its local area. This thesis presents scheme of optimal management of microgrid using multi-objective genetic algorithms (MOGA) aimed at reduction of cost and emission with satisfying constraints, electrical and heat loads. microgrid structure, system component models, objective functions and problem solving method is described. Proposed MG consists of a diesel generator, a fuel cell, a micro turbine, a wind turbine, a photovoltaic array and battery storage. Recovered heat by micro-turbine and heater can be used to supply heat demand. Also heat penalty, hourly revenue and outgo from sold and purchased power added to the cost function. The main goal of this thesis is to demonstrate impacts of using CHP system, heat penalty and also sale and purchase price changes on management and operation of microgrid. Therefore optimization problem solves as multi-objective for several scenarios to supply loads and satisfy constraints during twenty-four hour period. Simulation by MATLAB demonstrates the accuracy of results on proposed microgrid.

  Date: Wednesday, 1389/12/18 Time: 1-3 pm

  Location: Department of Electrical Engineering Building, Class 303.