Symmetric Fuzzy Logic and IBFOA Solutions for Optimal Position and Rating of Capacitors Allocated to Radial Distribution Networks

Kishore, C K; Ghosh, Swaroop; Karar, Vinod

doi:10.3390/en11040766

Cited by 14 publications

(19 citation statements)

References 26 publications

(30 reference statements)

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“…A symmetric fuzzy and improved BFOA (IBFOA) is presented by Kishore et al The locations are selected by LSF and IBFOA determines the sizes of capacitors.…”

Section: Introductionmentioning

confidence: 99%

“…Mostly of the previous contributions use the LSF to rank the buses and to obtain a reduced set of candidate buses to locate the capacitors. However, this locations set cannot be too small to avoid the loosing of solutions of interest.…”

Section: Introductionmentioning

confidence: 99%

“…Only some contributions consider the compensation with capacitors switched at different load levels. Besides, some of the examples do not consider the duration of the load levels.…”

Section: Introductionmentioning

confidence: 99%

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Capacitor placement by variables' inclusion and interchange improved algorithm

Abril

2020

Int Trans Electr Energ Syst

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Summary Very diverse optimization methods have been used to determining the optimal capacitor placement in distribution systems. Most of these methods analyze the use of fixed capacitor banks on circuits with only one load state. Other contributions consider the compensation with capacitors switched at different load levels. Almost all previous works represent the load as constant power with respect to voltage variations. This work improves the variables' inclusion and interchange algorithm with a new voltage‐dependent model that considers the variation of active and reactive load with the increase of voltage due to the capacitor placement. The load model used in this work can represent the load by a generalized function of the voltage, in which the constant power load, the constant current load, or the constant impedance load are particular cases. This voltage‐dependent model is the fundamental novelty of the method. The presented algorithm maximizes the annual cost saving in a circuit with several load levels by determining the locations, sizes, and control in time of the needed fixed and switched capacitors. The optimization is constrained with the bounds of minimum and maximum voltages. The capacitor placement solutions proposed by the developed method for various examples of four known circuits are compared with several of the most recently published solutions for these examples. The comparison shows the effectiveness of this method. The solutions obtained for different models of loads show the importance of considering, in the optimization, the load dependence with voltage.

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“…A symmetric fuzzy and improved BFOA (IBFOA) is presented by Kishore et al The locations are selected by LSF and IBFOA determines the sizes of capacitors.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Capacitor placement by variables' inclusion and interchange improved algorithm

Abril

2020

Int Trans Electr Energ Syst

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“…VSF is usually applied to analyze the voltage stability in power grids [19,20]. The definition of VSF is expressed as:…”

Section: Vsfmentioning

confidence: 99%

Analytical Calculation for Multi-Infeed Interaction Factors Considering Control Modes of High Voltage Direct Current Links

Xia

Wang

et al. 2018

Energies

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Abstract:The multi-infeed interaction factor (MIIF) is used extensively in indicating the degree of interaction among high-voltage direct current (HVDC) converters and is currently calculated by simulation methods according to the definition, or by using the equivalent impedance ratio method. The first method is an experimental calculation method and the second method does not account for the effects of HVDC control modes. An analytical calculation method for MIIF considering control modes of HVDC links is proposed in this paper. First, the voltage variation of converter bus in the context of small disturbance is equated by using the bus impedance matrix. In this way the equations for the solution of MIIF considering HVDC control mode are obtained. Subsequently, based on two rational assumptions, the practical analytical calculation expression of MIIF is deduced in detail. The MIIF calculation method proposed in this paper is an improvement of the equivalent impedance ratio method and reflects the main influencing factors of voltage interaction including HVDC control modes. Moreover, the derived analytical expression can give a fundamental insight into parameter dependencies of voltage interaction. Finally, the validity and accuracy of the proposed approach are demonstrated in both dual-infeed HVDC system and actual large-scale power grid.

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“…For example, for the minimization of the total annual costs, the Crow Search Algorithm (CSA) is used in [16,17], the Particle Swarm Optimization (PSO) and hybrid PSO algorithm are adapted in [18][19][20][21], the Flower Pollination Algorithm (FPA) is preferred in [22,23], and an Improved Harmony Algorithm is chosen in [24]. On the other hand, the OCBA problem based on active power minimization was approached in [25,26] using the Bacterial Foraging Optimization Algorithm, the Intersect Mutation Differential Evolution (IMDE) Algorithm in [27], the Artificial Bee Colony (ABC) in [5,28] and the Ant Lion Optimization Algorithm in [29]. The improvement of the voltage profile carried out using the Symbiotic Organisms Search Algorithm (SOSA) in [30].…”

mentioning

confidence: 99%

Optimal Capacitor Bank Allocation in Electricity Distribution Networks Using Metaheuristic Algorithms

et al. 2019

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Energy losses and bus voltage levels are key parameters in the operation of electricity distribution networks (EDN), in traditional operating conditions or in modern microgrids with renewable and distributed generation sources. Smart grids are set to bring hardware and software tools to improve the operation of electrical networks, using state-of the art demand management at home or system level and advanced network reconfiguration tools. However, for economic reasons, many network operators will still have to resort to low-cost management solutions, such as bus reactive power compensation using optimally placed capacitor banks. This paper approaches the problem of power and energy loss minimization by optimal allocation of capacitor banks (CB) in medium voltage (MV) EDN buses. A comparison is made between five metaheuristic algorithms used for this purpose: the well-established Genetic Algorithm (GA); Particle Swarm Optimization (PSO); and three newer metaheuristics, the Bat Optimization Algorithm (BOA), the Whale Optimization Algorithm (WOA) and the Sperm-Whale Algorithm (SWA). The algorithms are tested on the IEEE 33-bus system and on a real 215-bus EDN from Romania. The newest SWA algorithm gives the best results, for both test systems.

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Symmetric Fuzzy Logic and IBFOA Solutions for Optimal Position and Rating of Capacitors Allocated to Radial Distribution Networks

Cited by 14 publications

References 26 publications

Capacitor placement by variables' inclusion and interchange improved algorithm

Capacitor placement by variables' inclusion and interchange improved algorithm

Analytical Calculation for Multi-Infeed Interaction Factors Considering Control Modes of High Voltage Direct Current Links

Optimal Capacitor Bank Allocation in Electricity Distribution Networks Using Metaheuristic Algorithms

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