May 16, 2024
Sayyad Nojavan

Sayyad Nojavan

Academic rank: Associate professor
Address:
Education: Ph.D in ٍElectrical Power Engineering
Phone: 09148903379
Faculty: Faculty of Engineering
Department: Electrical Engineering

Research

Title
Optimal economic-emission performance of fuel cell/CHP/storage based microgrid
Type Article
Keywords
Optimal cost-emission optimization, Fuel cell and CHP based microgrid, Flexible load management, Compromising programming, Fuzzy satisfying approach,
Researchers Hamed Pashaei-didani، Sayyad Nojavan، Ramin Nourollahi، Kazem Zare

Abstract

In this paper, optimal heat and power dispatch of the fuel cell (FC) and combined heat and power (CHP) based microgrid (MG) in grid-connected mode is studied in the presence of demand response program (DRP). Considering cost and emission minimization has turned this study to a multi-objective problem. Multiple generating and storing units such as FC, CHP, power-only unit, boiler, battery storage system, and heat buffer tank are considered in investigated MG. Also, demand response program has been modeled, and the effects of such programs on the load profile have been discussed. The DRP transfers some amount of load from peak periods to other periods which flats the load curve and minimizes total cost and emission of the MG. To solve the multi-objective optimization problem, the Pareto solutions are generated by using the compromising programming, then, optimal solution is chosen by implementing the fuzzy satisfying approach. In comparison with other methods, the proposed method has reduced the set of efficient solutions to a more reasonable size without demanding any information about the decision making parameters. Finally, the problem is solved in two cases as with and without DRP to clarify the impact of DRP on MG scheduling.