A fuzzy-based approach for optimal allocation and sizing of capacitor banks

Ramadan, Husam A.; Wahab, Mohd Nadhir Ab; El‐Sayed, Abou‐Hashema M.; Hamada, Mohamed M.

doi:10.1016/j.epsr.2013.08.019

Cited by 40 publications

(16 citation statements)

References 11 publications

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“…From Table 3, it can be observed that initial voltage of busses 16,17,18,19,20,21,22,23,24,25,26,27,46,47,48,49,50,51,52,53, and 54 is below the lower limit. The SCBs of 1500kVAR, 500kVAR, and 500kVAR are installed at bus 52, bus 49, and bus 50, respectively.…”

Section: Application Of Proposed Methods With Uncertainty Of Renewabmentioning

confidence: 96%

“…fixed and/or switched capacitor banks are placed by nature-observed heuristic algo rithms, usually known as AI methods. These optimization methods are used for deciding optimal location and size of SCB; eg, fuzzy logic, [19][20][21][22] genetic algorithm, [23][24][25][26][27] fuzzy GA, [28][29][30][31] particle swarm optimization, [32][33][34] plant growth simulation algorithm, 35,36 teaching learning-based optimization, 37 gravitational search algorithm, 38 ant colony optimization, 39,40 artificial bee colony algorithm, 41,42 cuckoo search algorithm, 43 evolutionary tech nique, 44,45 bacterial foraging algorithm, 46 bioinspired algorithm, 47 flower pollination algorithm, 48 monkey search technique, 49 and improved harmony algorithm 50 etc. A simple analytical approach 51 and differential evolution 52 are also proposed for optimal capacitor placement in radial DS.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Framework for multipoint optimal reactive power compensation in radial distribution system with high distributed generation penetration

Bharti

2019

Int Trans Electr Energ Syst

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Summary Reactive power management and voltage control are essential for improved operational performance of distribution system (DS). With increasing distributed generation (DG) penetration in DS, reactive power compensation (RPC) becomes more significant, as most of the renewable‐based DGs are not able to supply reactive power. This paper presents new graph‐theoretic method for placement of reactive power compensator in radial DS using “average electrical centrality index.” The proposed method is efficient with less compute intensive because appropriate location for the compensator is decided by centrality measures, unlike the existing methods that use optimization techniques to determine location. The proposed method is tested in a modified 69‐bus radial system to demonstrate its applicability in practice. The robustness of the proposed method is demonstrated in case of renewable generation uncertainty for modified 69‐bus radial DS. The performance of the proposed method is compared with existing multipoint RPC methods also.

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Section: Application Of Proposed Methods With Uncertainty Of Renewabmentioning

confidence: 96%

Section: Literature Reviewmentioning

confidence: 99%

Framework for multipoint optimal reactive power compensation in radial distribution system with high distributed generation penetration

Bharti

2019

Int Trans Electr Energ Syst

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“…However, for the cases where the system's initial condition have critically excessive fault current levels and the resource set of countermeasures is not enough to cover the initial fault current violation, the network reconfiguration algorithm might not be able to provide a set of feasible solutions. Fuzzy-based approaches in solving allocation and control problems in power systems are proven to be robust [17,18]. This paper adopts the fuzzy set theory to deal with the fault level constraints (FLCs) for the systems with critically excessive fault current levels.…”

Section: Introductionmentioning

confidence: 99%

Determining Countermeasures against Fault Currents Using a Decomposition Method Based on Fuzzy Fault Level Constrained Optimal Power Flow

Flores¹,

Song²

2019

Applied Sciences

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This study applies a decomposed method to determine adequate countermeasures against excessive fault current levels in power systems. A set of candidate locations for the countermeasures such as bus splitting and current limiting reactors are pre-defined and modeled using variable reactances. A decomposition method is applied for the decision-making on the selection of the location and type of countermeasures. The main problem is to identify the optimal settings of the variable reactances by considering the sensitivities of the bus fault currents and generation costs with respect to the incremental increase in the reactance values of each countermeasure. For the subproblem, the optimization tool of fuzzy fault level constrained optimal power flow (FFLC-OPF) is applied to obtain the optimal operating point for the system with the given reactance settings. The FFLC-OPF incorporates both traditional constraints and fault level constraints in solving for the power flow. In addition, illustrative examples using the modified 28-bus system are included to show the effectiveness of the decomposition method.

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“…Various AI approaches have been implemented in the placement of capacitors. For example, Ramadan et al (2014) developed a fuzzy logic based approach which combined two membership functions and Abul'Wafa (2014) combined fuzzy expert system for the placement of the capacitor and read coded Genetic Algorithm (GA) to calculate the size of the capacitor. Nonetheless, in using fuzzy logic, the main challenge is to determine accurately the fuzzy membership functions and the fuzzy rule bases.…”

Section: Introductionmentioning

confidence: 99%

Analytical Method for Reactive Power Compensators Allocation

Arief¹,

Nappu²,

Antamil³

2018

IJTech

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This paper presents a novel analytical methodology to determine the placement of reactive power devices in power systems. The proposed method modifies the Modal analysis technique and, based on the inversed reduced Jacobian matrix, develops a new formulation to compute the Reactive Contribution Factor (RCF) of each load buses. The objective of this research is to achieve the most stable condition and to minimize network losses. The proposed method is implemented at the modified IEEE 30-bus Reliability Test System (RTS) and compared with a different placement. In order to assess the method, this work compares the voltage profile, eigenvalue and network losses. The simulation results show that the proposed method can provide a solution to the ideal shunt compensator placement by improving the system's voltage stability and by minimizing losses.

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A fuzzy-based approach for optimal allocation and sizing of capacitor banks

Cited by 40 publications

References 11 publications

Framework for multipoint optimal reactive power compensation in radial distribution system with high distributed generation penetration

Framework for multipoint optimal reactive power compensation in radial distribution system with high distributed generation penetration

Determining Countermeasures against Fault Currents Using a Decomposition Method Based on Fuzzy Fault Level Constrained Optimal Power Flow

Analytical Method for Reactive Power Compensators Allocation

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