2021
DOI: 10.1109/access.2020.3048500
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Contingency Control Capability of an Optimized HVDC-Based VSC Transmission System

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Cited by 9 publications
(4 citation statements)
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“…The interest in HVDC power transmission has been stimulated further by the capabilities of multiterminal DC structures based on the voltage sourced converter (VSC) [4]- [9]. The integration of VSC-based DC structures enables the grid operator to modify the power flow [10]- [12].…”
Section: Introductionmentioning
confidence: 99%
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“…The interest in HVDC power transmission has been stimulated further by the capabilities of multiterminal DC structures based on the voltage sourced converter (VSC) [4]- [9]. The integration of VSC-based DC structures enables the grid operator to modify the power flow [10]- [12].…”
Section: Introductionmentioning
confidence: 99%
“…Linear power flow analysis lends itself to the formulation of linear sensitivity methods, which facilitate computationally efficient contingency analysis. In [12], sensitivity factors are based on the first-order Taylor series approximation, yet the power flow calculation itself remains iterative. A linear and non-iterative application of sensitivity factors for contingency analysis was demonstrated in [22].…”
Section: Introductionmentioning
confidence: 99%
“…The various control schemes of VSC-HVDC and LCC-HVDC structures on smallsign durability are explored in [15,16]. In line with that, the performance of control techniques of VSC-HVDC is enhanced with multi-objective optimization [17,18]. The control techniques on the inverter station of the LCC-HVDC system along with the effects of a phase-locked loop (PLL) on small-signal stability are studied in [19].…”
Section: Introductionmentioning
confidence: 99%
“…Evolutionary programming (EP)is proposed in [7] to solve the RPP problem, particle swarm optimization (PSO) is applied in [8], differential evolution (DE) is presented in [9] and [10], Ant colony optimization algorithm is presented in [11], gravitational search algorithm (GSA) is using to solve RPP problem with flexible ac transmission systems (FACTS) in [12], random drift PSO in [13], and fractional-order darwinian PSO is presented in [14]. In [3] PSO algorithm is presented to maximize the power transfer capability of power transactions between generators and loads in power systems without violating system constraints, genetic algorithm (GA) is proposed in [15], the static synchronous series compensator is used in [16], EP is proposed to determine the optimal allocation of FACTS devices in [17], Cat swarm optimization is applied in [18], hybrid of tabu search and simulated annealing in [19], and different methods of FACTS placements for maximizing the transfer power is applied in [20]. Table I categorizes the evaluated literature and highlights the new aspects of the proposed work in comparison to previous research efforts.…”
Section: Introductionmentioning
confidence: 99%