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Rahmat Khezri

Researcher at Flinders University

Publications -  54
Citations -  1095

Rahmat Khezri is an academic researcher from Flinders University. The author has contributed to research in topics: Electric power system & Renewable energy. The author has an hindex of 15, co-authored 54 publications receiving 555 citations. Previous affiliations of Rahmat Khezri include University of Kurdistan & Islamic Azad University.

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Optimal Capacity of Solar PV and Battery Storage for Australian Grid-Connected Households

TL;DR: In this paper, the optimal capacity of solar photovoltaic (PV) and battery energy storage (BES) for grid-connected households to minimize the net present cost of electricity is determined.
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Optimal planning of solar photovoltaic and battery storage systems for grid-connected residential sector: Review, challenges and new perspectives

TL;DR: In this paper, a comprehensive and critical review on the effective parameters in optimal planning process of solar PV and battery storage system for grid-connected residential sector is presented, where new guidelines should be provided for the customers based on various electricity rates and demand response programs.
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Review on the state-of-the-art multi-objective optimisation of hybrid standalone/grid-connected energy systems

TL;DR: This study presents a timely survey on the state-of-the-art in multi-objective optimal design of hybrid standalone/grid-connected energy systems and finds that the recent objective functions like customer satisfaction and grid-dependency need further investigation in the multi- objective design procedure.
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Coordination of heat pumps, electric vehicles and AGC for efficient LFC in a smart hybrid power system via SCA-based optimized FOPID controllers

TL;DR: In this paper, a fractional order proportional integral differential (FOPID) controller for coordinated control of power consumption in heat pumps, the discharging state in EVs and automatic generation control (AGC) is proposed.
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An intelligent coordinator design for GCSC and AGC in a two-area hybrid power system

TL;DR: Success of the proposed OFFT approach is established in three scenarios by comparing the dynamic performance of concerned power system with several optimization algorithms including artificial bee colony algorithm, genetic algorithm, improved particle swarm optimization algorithm, ant colony optimization algorithm and sine cosine algorithm.