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 gap decision theory-based risk-constrained energy management of hybrid AC-DC microgrids
Type Book
Keywords
Hybrid AC/DC microgrid, information gap decision method, power price uncertainty, de-mand response provider, time of use,
Researchers Sayyad Nojavan، Hamed Pashaei-didani

Abstract

Impacts of different uncertain parameter on the operation of the system should be well-studied to get optimal management of the system. The information gap decision theory (IGDT) is one the most favorite methods to model both positive and negative aspects of any uncertain parameter. In this chapter, power price uncertainty in a hybrid AC/DC microgrid is investigated utilizing the IGDT method and obtained results are provided in three strategies as risk-averse, risk-neutral, and risk-taker are derived. The optimal energy management of hybrid AC/DC MG is formulated as mixed-integer non-linear programming (MINLP) method which is solved by DICOPT solver in GAMS optimization software in two cases as with and without demand response (DR) cases to clarify the impact of such programs.