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Optimal reactive power dispatch based on harmony search algorithm
This paper presents a harmony search algorithm for optimal reactive power dispatch (ORPD) problem. Optimal reactive power dispatch is a mixed integer, nonlinear optimization problem which includesExpand
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Energy and Frequency Hierarchical Management System Using Information Gap Decision Theory for Islanded Microgrids
TLDR
In this paper, a robust energy management system is proposed for islanded microgrids, which at the same time considers static modeling of system frequency. Expand
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A stochastic–probabilistic energy and reserve market clearing scheme for smart power systems with plug-in electrical vehicles
In this paper, a novel stochastic–probabilistic energy and reserve market clearing scheme is proposed in the presence of plug-in vehicles (PEV) and wind power introducing a new model for PEVExpand
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Optimal power flow considering fault current level constraints and fault current limiters
Abstract The aim of this paper is to present a novel method to dispatch the active generation power properly in the power system while incorporating fault current levels as constraints for theExpand
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Sitting and sizing of distributed generation through Harmony Search Algorithm for improve voltage profile and reducuction of THD and losses
TLDR
In this paper Harmony Search Algorithm (HSA) is presented as the optimization technique for the allocation of generators in distribution networks, in order to loss reduction in distribution network. Expand
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Optimal reactive/voltage control by an improved harmony search algorithm
TLDR
This paper presents an improved harmony search algorithm for the optimal reactive/voltage control problem and the results are compared with other evolutionary programs. Expand
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Information Gap Decision Theory Based Preventive/Corrective Voltage Control for Smart Power Systems With High Wind Penetration
TLDR
This paper proposes a new approach for preventive/corrective voltage control in smart power systems using the information gap decision theory. Expand
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Multiobjective Risk-Constrained Optimal Bidding Strategy of Smart Microgrids: An IGDT-Based Normal Boundary Intersection Approach
TLDR
A new approach based on information gap decision theory (IGDT) is proposed to provide a promising risk-managing bidding strategy for the microgrids in joint energy and reserve markets. Expand
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Spinning reserve quantification by a stochastic–probabilistic scheme for smart power systems with high wind penetration
Abstract This paper introduces a novel spinning reserve quantification scheme based on a hybrid stochastic–probabilistic approach for smart power systems including high penetration of windExpand
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Fuzzy multi-objective reactive power clearing considering reactive compensation sources
This paper presents a fuzzy multi-objective approach for clearing the reactive power market. The objective functions that have been studied are the total payment function (TPF), voltage stability andExpand
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