H
Hamid Falaghi
Researcher at University of Birjand
Publications - 69
Citations - 1576
Hamid Falaghi is an academic researcher from University of Birjand. The author has contributed to research in topics: Electric power system & Wind power. The author has an hindex of 17, co-authored 58 publications receiving 1324 citations. Previous affiliations of Hamid Falaghi include Tarbiat Modares University.
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Journal ArticleDOI
Risk-based distributed generation placement
TL;DR: In this article, a multi-objective model for the placement of distributed generation (DG) units in the distribution networks in an uncertain environment is presented. And the true Pareto-optimal solutions are found with a multiobjective genetic algorithm and the final solution is found using a max-min approach.
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Ant Colony Optimization-Based Method for Placement of Sectionalizing Switches in Distribution Networks Using a Fuzzy Multiobjective Approach
TL;DR: In this article, the authors proposed a fuzzy multiobjective approach for the placement of switches in distribution networks in the presence of distributed generation sources, where the primary objective is reliability improvement with consideration of economic aspects.
Proceedings ArticleDOI
ACO Based Algorithm for Distributed Generation Sources Allocation and Sizing in Distribution Systems
TL;DR: In this paper, a cost-based model to find the optimal size and location of distributed generation sources in a power distribution system is proposed in which the objective is defined as minimization of DG investment cost and total operation cost of the system.
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DG integrated multistage distribution system expansion planning
TL;DR: In this article, a framework is presented to solve the problem of multistage distribution system expansion planning in which installation and/or reinforcement of substations, feeders and distributed generation units are taken into consideration as possible solutions for system capacity expansion.
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Medium-term energy hub management subject to electricity price and wind uncertainty
TL;DR: In this article, a model is presented to manage an energy hub which has electrical energy and natural gas as inputs and electrical and heat energy as outputs, and the energy management objective is to minimize the total cost subject to several technical constraints using stochastic programming.