Implement the Harmonic Search Algorithm with Optimum Location of Capacitors Sizing and Dispatchable DGs to Control the Reactive Power on Interconnected Bus System

Suneetha, M.; Rao, R. Srinivasa; Subramanyam, B.

doi:10.11591/ijra.v7i3.pp149-158

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…Depending on how and where the capacitors are placed in the network will determine the benefits of this type of compensation, and for this purpose, the improved binary particle swarm optimization (IBPSO) algorithm was used [8]. Some researchers have suggested adding capacitors at an optimal place with an optimal value through various methods of optimization, for example, dice game optimization (DGO) [9] and the harmonic search (HS) algorithm [10]. These measures aim to reduce the risk of voltage breakdown occurring and improve the stability and voltage profile.…”

Section: Introductionmentioning

confidence: 99%

Load Shedding and Reactive Power Compensation of Distribution System Using TLPO Algorithm under Different Load Models

2024

IJIES

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The most critical strategy to keep the electrical grid from collapsing is load shedding. However, by itself, this approach is unable to achieve system stabilization, as well as frequency and voltage have an impact on the network's stability as well. Traditional load-shedding designs do not take into account the various load models and the declining economic cost associated with load disconnecting. When calculating load flow, multiple load models like constant power (C.P), constant current (C.I), constant impedance (C.Z), and combined load (ZIP) may be involved, but all loads are typically described as constant electrical power (C.P). In this article, the idea of a dual approach to load shedding and capacitor placement is adopted to maximize the amount of power loss reduction in the distribution network, taking into account different load models and determining the best one that leads to the least losses, the best voltage profile, and the lowest cost. To minimize load shedding for the network and choose the optimal capacitor size and location, the Teaching Learning Based Optimization (TLBO) algorithm. The outcomes showed that using the ZIP scenario is the superior model for all scenarios in terms of reducing active power losses by about 66.018% and lowering the percentage of load shedding to 19.5195%.

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Section: Introductionmentioning

confidence: 99%

Load Shedding and Reactive Power Compensation of Distribution System Using TLPO Algorithm under Different Load Models

2024

IJIES

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“…To minimize the probability of voltage collapse happening and enhance voltage stability as well as improve voltage profile, some researchers have proposed to add capacitors in an optimal location with optimal size by using different optimization techniques such as harmonic search (HS) algorithm [5], dice game optimization (DGO) [6], and modified biogeography based optimization (MBBO) algorithm [7]. However, these shunt capacitors are not capable to constantly produce a variable reactive power and exhibit some of the operational problems like resonance [2].…”

Section: Introductionmentioning

confidence: 99%

A hybrid algorithm for voltage stability enhancement of distribution systems

Al-Wazni¹,

Al-Kubragyi²

2022

IJECE

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This paper presents a hybrid algorithm by applying a hybrid firefly and particle swarm optimization algorithm (HFPSO) to determine the optimal sizing of distributed generation (DG) and distribution static compensator (D-STATCOM) device. A multi-objective function is employed to enhance the voltage stability, voltage profile, and minimize the total power loss of the radial distribution system (RDS). Firstly, the voltage stability index (VSI) is applied to locate the optimal location of DG and D-STATCOM respectively. Secondly, to overcome the sup-optimal operation of existing algorithms, the HFPSO algorithm is utilized to determine the optimal size of both DG and D-STATCOM. Verification of the proposed algorithm has achieved on the standard IEEE 33-bus and Iraqi 65-bus radial distribution systems through simulation using MATLAB. Comprehensive simulation results of four different cases show that the proposed HFPSO demonstrates significant improvements over other existing algorithms in supporting voltage stability and loss reduction in distribution networks. Furthermore, comparisons have achieved to demonstrate the superiority of HFPSO algorithms over other techniques due to its ability to determine the global optimum solution by easy way and speed converge feature.

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Implement the Harmonic Search Algorithm with Optimum Location of Capacitors Sizing and Dispatchable DGs to Control the Reactive Power on Interconnected Bus System

Cited by 2 publications

References 1 publication

Load Shedding and Reactive Power Compensation of Distribution System Using TLPO Algorithm under Different Load Models

Load Shedding and Reactive Power Compensation of Distribution System Using TLPO Algorithm under Different Load Models

A hybrid algorithm for voltage stability enhancement of distribution systems

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