Solution of the capacitor allocation problem using an improved whale optimization algorithm

Shehata, R. H.; Mekhamer, S. F.; Abdelaziz, Almoataz Y.; Badr, M.A.

doi:10.4314/ijest.v10i4.1

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…Solution vectors range X (11) X (13) Node no. 2-33 /2-69 X (12) X (14) 0.15-2.1 MVAr (in discrete steps of 0.15 MVAr) X (15) X (17) X (16) X (18) X (19) X (21) Node no.…”

Section: Variables Solution Vectors (Sv) Variablesmentioning

confidence: 99%

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Optimization of distributed generation units in reactive power compensated reconfigured distribution network

Srinivasan¹

2021

Automatika

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Capacitor Allocation (CA) and Network Reconfiguration (NR) are the traditional methods extensively applied by the researchers for power loss reduction and node voltage improvement in radial Distribution Network (DN) for the past four decades. In recent years, simultaneous optimization of CA and NR is considered to maximize the power loss reduction in a proficient manner in comparison to individual optimization of CA and NR. To solve the objective functions, this work proposes an application of Autonomous Group Particle Swarm Optimization (AGPSO) by optimal allocation and sizing of capacitors with and without NR, under four different cases, subject to satisfying operating constraints. In addition, to ascertain the impact of real power injection on further power loss reduction, this work considers placement and sizing of Distributed Generation (DG) units from single to three optimal nodes in capacitive compensated optimal DN. This proposed methodology is demonstrated using standard IEEE 33 and 69 bus test system and the results obtained by each test case have been compared with other optimization techniques. A significant amount of power loss gets minimized after optimal DG allocation in reactive power compensated optimal DN.

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“…Solution vectors range X (11) X (13) Node no. 2-33 /2-69 X (12) X (14) 0.15-2.1 MVAr (in discrete steps of 0.15 MVAr) X (15) X (17) X (16) X (18) X (19) X (21) Node no.…”

Section: Variables Solution Vectors (Sv) Variablesmentioning

confidence: 99%

“…Since capacitors lower the reactive requirement from the main source, more real-power output is available. In recent times, many researchers have focused their research on capacitor placement problems [7][8][9][10][11][12][13][14][15][16][17] in DN.…”

Section: Introductionmentioning

confidence: 99%

Optimization of distributed generation units in reactive power compensated reconfigured distribution network

Srinivasan¹

2021

Automatika

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“… Calculate the fitness function for all population using load flow calculations and taking constraints into account.  Determine and update X α , X β , X δ where X α is the first best search agent, X β is the second-best search agent, X δ is the third best search agent  Update and move the rest of search agents usings equations (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12).  Claculate the objective function for the updated agents.…”

Section: Objective Functionmentioning

confidence: 99%

“…The performance of radial distribution feeder (RDS) could be measured by many factors which include but not limited to total active and reactive power losses, system voltage profile, power flow, reactive power installed, voltage stability, cost reduction, power quality and total system operation costs [1][2]. Some devices and Equipment as Distributed Generation units and reactive power compensators are an effective solution to enhance, control and mitigate some of the previously mentioned assessment factors of any tested radial distribution feeder.…”

Section: Introductionmentioning

confidence: 99%

Enhancing radial distribution system performance by optimal placement of DSTATCOM

Mekhamer¹,

Shehata²,

Abdelaziz³

et al. 2020

IJECE

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In this paper, A novel modified optimization method was used to find the optimal location and size for placing distribution Static Compensator in the radial distribution test feeder in order to improve its performance by minimizing the total power losses of the test feeder, enhancing the voltage profile and reducing the costs. The modified grey wolf optimization algorithm is used for the first time to solve this kind of optimization problem. An objective function was developed to study the radial distribution system included total power loss of the system and costs due to power loss in system. The proposed method is applied to two different test distribution feeders (33 bus and 69 bus test systems) using different Dstatcom sizes and the acquired results were analyzed and compared to other recent optimization methods applied to the same test feeders to ensure the effectiveness of the used method and its superiority over other recent optimization mehods. The major findings from obtained results that the applied technique found the most minimized total power loss in system ,the best improved voltage profile and most reduction in costs due power loss compared to other methods .

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“…For instance, high power losses, high voltage deviation, low power factor, lack of reactive power, and congestion of lines are some of these system problems 1‐5 . These prejudicial issues are produced due to some characteristics related to the DNs design and planning strategies like; the structure of the system, lengthy distribution lines, high R/X ratio and the wide spread of using nonlinear loads 6,7 . Additionally, the centralized topology of traditional DNs and their passive configuration which results in unidirectional power flow leads to significant power quality issues 8 .…”

Section: Introductionmentioning

confidence: 99%

Optimal coordination of static VAR compensators, fixed capacitors, and distributed energy resources in Egyptian distribution networks

El‐Ela

El‐Sehiemy

Shaheen

et al. 2020

Int Trans Electr Energ Syst

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This article suggests a bi‐stage methodology for optimal allocation of static VAR compensating (SVC) systems in integration with fixed capacitors (FCs) and distributed energy resources (DERs). The proposed methodology is based on an improved Grey Wolf algorithm (IGWA). Multifarious objectives are comprised to minimize the investment costs of the new devices installation, the costs of the power generation from the grid, the active power losses, the system voltage deviations, and to enhance the power transfer capability through minimizing the load balancing index. These disparate objectives are incorporated together and handled based on IGWA by merging simultaneously various daily loadings through light, intermediate and nominal load levels. The proposed methodology is applied on two various topologies of real‐world grids belong to the Egyptian electrical unified network. The simulation results demonstrate noticeable technical and economical features with eminent capabilities of the utilized algorithm. The compensation of the reactive power via SVCs based on the proposed methodology leads to significant improvement in the whole quality of the nodes voltage with the load variations. In light loading conditions, the SVCs regulate their output, in an optimal way, in according to the reactive power requirements in the neighboring nodes and they help in relieving the negative impacts of nodes overvoltage due to the DERs and FCs that may be existed.

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Solution of the capacitor allocation problem using an improved whale optimization algorithm

Cited by 7 publications

References 25 publications

Optimization of distributed generation units in reactive power compensated reconfigured distribution network

Optimization of distributed generation units in reactive power compensated reconfigured distribution network

Enhancing radial distribution system performance by optimal placement of DSTATCOM

Optimal coordination of static VAR compensators, fixed capacitors, and distributed energy resources in Egyptian distribution networks

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