2022
DOI: 10.3390/en15207478
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Optimal Allocation of Distributed Thyristor Controlled Series Compensators in Power System Considering Overload, Voltage, and Losses with Reliability Effect

Abstract: In this paper, optimal allocation of a distributed thyristor-controlled series compensator (DTCSC) in a power system is presented to minimize overload, voltage deviations, and power losses while improving system reliability. The decision variable was defined as the optimal reactance of the DTCSC in the power system, which was determined using a new meta-heuristic algorithm named the improved equilibrium optimization algorithm (IEOA). A nonlinear inertia weight reduction strategy was used to improve the perform… Show more

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Cited by 5 publications
(3 citation statements)
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“…The probabilistic data is generated through Monte Carlo Simulation. The study underscores the influence of load uncertainty on energy storage system sizing and advocates for the use of probabilistic load data for more accurate analysis [26][27].…”
Section: Optimal Sizing and Selection Of Energy Storage System Consid...mentioning
confidence: 98%
See 1 more Smart Citation
“…The probabilistic data is generated through Monte Carlo Simulation. The study underscores the influence of load uncertainty on energy storage system sizing and advocates for the use of probabilistic load data for more accurate analysis [26][27].…”
Section: Optimal Sizing and Selection Of Energy Storage System Consid...mentioning
confidence: 98%
“…These approaches are evaluated through various studies, highlighting their potential to enhance the predictiveness and reliability of battery storage systems in grid integration. Battery degradation is another critical issue, with factors such as high operational temperatures and depth of discharge contributing significantly to reduced battery life and performance [7]. Innovations in thermal management and battery management systems (BMS) are discussed as solutions to mitigate these effects.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, there are several current EOA implementations available in power system engineering topics for optimal allocation of multiple DG units and network reconfiguration [27], optimal allocation of PV sources and battery energy storage [28], optimal allocation of PVDG units for maximizing a PV hosting capacity [29], optimal allocation of optimal wind turbines (WT) generators [30], and optimal allocation of hybrid WT generators and energy storages [31], and distributed thyristor-controlled series compensator planning [32]. Applied EOA technique for the solar PV modules parameters extraction [33,34], energy management in a hybrid electric vehicle [35], load frequency control problem of power system [36], optimal automatic voltage regulator system [37], solving the reactive power dispatch problem [38], and solving the issue of optimal power flow [39,40].…”
Section: Main Contributions and Scopementioning
confidence: 99%