2024 : 5 : 28
Mohammad Bayat

Mohammad Bayat

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0003-1465-0015
Education: PhD.
ScopusId: 56681445600
Faculty: Engineering
Address: Arak University


Optimal siting, sizing and setting of droop-controlled DERs in autonomous microgrids: A new paradigm in microgrid planning
Autonomous microgrid Distributed energy resources Droop control Multi-objective Optimal planning
Journal Electric Power Systems Research
Researchers Mohammad Bayat ، Zahra Ghiyasabadi Farahani ، Aliasghar Ghadimi ، Marcos Tostado Veliz ، Mohammad Reza Miveh ، Francisco Jurado


This paper presents an extended model for aggregation of operational settings of droop-controlled Distributed Energy Resources (DERs) in Microgrid (MG) planning, thus deriving in a novel problem named Optimal Siting, Sizing and Setting (OSSS) of DERs. The proposed approach precisely deals with the power flow formulation for autonomous MG as an essential constraint for accurate results. Furthermore, the proposed OSSS model considers the frequency and voltage dependence characteristic of loads. The problem casts in multi-objective formulation to consider different technical, power quality and controlling aspects. This will help the designer to provide efficient decision for allocation of DERs. The effects of realistic load model as well as power sharing error index are elaborately investigated in simulation results. The model is thus further validated and its usefulness demonstrated. Finally, the performance of multi-objective OSSS model is verified by comparing the results with the previous simplified models presented in the recently published literatures.