2024 : 12 : 13
Aliasghar Ghadimi

Aliasghar Ghadimi

Academic rank: Associate Professor
ORCID: https://orcid.org/0000-0001-7276-2221
Education: PhD.
ScopusId: 56678490500
HIndex:
Faculty: Engineering
Address: Arak University
Phone: 08632625620

Research

Title
Multiobjective Stochastic Power System Expansion Planning Considering Wind Farms and Demand Response
Type
JournalPaper
Keywords
Stochastic, Power System, Expansion Planning Wind , Demand Response
Year
2024
Journal International Journal of Energy Research
DOI
Researchers Aliasghar Ghadimi ، Abdollah Ahmadi ، Mohammad Reza Miveh

Abstract

In recent years, due to the increase in electricity consumption and environmental problems, power system expansion planning requires new technologies. In this regard, the incorporation of renewable energy sources (RESs) and utilization of demand response (DR) programs need disruptive variations in the present power system configurations. This paper proposes a mixedinteger linear robust multiobjective model for generation and transmission expansion planning (GEP-TEP) taking into account wind farms (WFs) and a DR program based on time-of-use pricing. The suggested model is presented via mixed-integer nonlinear programming (MINLP) at the first stage and then transformed into mixed-integer linear programming (MILP) using the Big M linearization technique. Moreover, long- and short-term uncertainties of load demand and WFs are incorporated into the recommended model to achieve more accurate results. The interval-based method is applied for taking into account long-term uncertainties while the scenario-based stochastic model is applied for modeling short-term uncertainties in the recommended GEP–TEP model. Lastly, the suggested model is investigated on various standard test systems to evaluate the effectiveness of the GEP-TEP model.