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
Information decision gap theory-based risk-constrained energy management of DC microgrids
Type Book
Keywords
DC microgrid, uncertainty modeling, demand response program, information decision gap theory, risk-taker, risk-neutral, risk-averse,
Researchers Hamed Pashaei-didani، Arash Mohammadi، Hamed Ahmadi-Nezamabad، Sayyad Nojavan

Abstract

It is obvious the each uncertain parameter may have pernicious or beneficial effect of the un-der study system. Among different developed uncertainty modeling methodologies, just few of them can model both negative and positive effects. Information decision gap theory (IGDT) can be considered as the one the most important one. To do so, the IGDT develops robustness and opportunity functions, in which the former models the negative side while the latter models the positive aspect of the uncertainty in any desired system. In this chapter, op-timal energy management of DC microgrid (MG) carried out under power price uncertainty utilizing the IGDT method. Considering robustness, deterministic, and opportunity functions, three strategies as risk-averse, risk-neutral and risk-taker strategies derived to provide quanti-tative result for the decision-maker. Each of the strategies solved in two cases as with and without implementing demand response program to reduce total operating cost of the DC MG.