2020
DOI: 10.1109/tpwrs.2020.2998144
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Unbalance Mitigation via Phase-Switching Device and Static Var Compensator in Low-Voltage Distribution Network

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Cited by 33 publications
(15 citation statements)
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“…Therefore, the value of FOSMC parameters must be selected in such a way that a compromise is achieved among the rise time, overshoot, convergence time, tracking error, overall damping along with chattering free smooth output. Therefore, the reference reactive power value is admirable tracked by the controlled trajectories when α is selected to be 0.5 and k d , k q are selected to be 5×10 6 , evidenced in Fig. 16(b).…”
Section: Performance Evaluation Under Unbalanced Load Conditionsmentioning
confidence: 99%
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“…Therefore, the value of FOSMC parameters must be selected in such a way that a compromise is achieved among the rise time, overshoot, convergence time, tracking error, overall damping along with chattering free smooth output. Therefore, the reference reactive power value is admirable tracked by the controlled trajectories when α is selected to be 0.5 and k d , k q are selected to be 5×10 6 , evidenced in Fig. 16(b).…”
Section: Performance Evaluation Under Unbalanced Load Conditionsmentioning
confidence: 99%
“…These can initiate abnormal operation of the equipment or assuredly trip the protection devices [5]. To cope with these concerns, fixed and switch reactors/capacitors banks and static VAR compensators (SVC) are established and executed [6]. However, these kinds of standard facilities have a few drawbacks such as large size, additional losses, inadequate bandwidth, and slow response time [7].…”
mentioning
confidence: 99%
“…A comprehensive formulation of the problem, which is based on unbalanced three-phase optimal power flow (UTOPF) and considers all operational constraints in the decisionmaking process, along with the linearization-based approach to solve the challenging mixed-integer non-convex programming (MINCP) problem is presented in our previous work [11]. However, the method will needs to be extended to support controllable resources, e.g., PV inverters, demand response or electric vehicles (EVs), motivating us to develop a more flexible yet efficient enough algorithm to solve the problem.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with our previous work, this paper focuses on optimal coordination of PSDs in real-time operation, while [12] investigates the optimal locations to place PRDs, [11] focuses on the day-ahead scheduling of both PSDs and static VAR generator based on predicted demand profiles, and [13] mainly discussed the optimal control PRDs when the network cannot be monitored all all nodes, which leads to an sensitivity-based approach. Moreover, an iteration-based algorithm is presented and compared with the complete linearization-based method in our previous work [11] and the method based on the famous UTOPF that is based on linear branch flow model [14]. The rest of the paper is structured as follows.…”
Section: Introductionmentioning
confidence: 99%
“…However, network constraints were not taken into account either, which may lead to violated operational constraints. Most recently reported methods in addressing power unbalance in LVDN can be found in [17, 18], where network constraints are considered on a fully or partially observable network.…”
Section: Introductionmentioning
confidence: 99%