Optimal sizing of distributed generation using firefly algorithm and loss sensitivity for voltage stability improvement

Hamid, Zulkiffli Abdul; Jipinus, Sylvester; Musirin, Ismail; Othman, Muhammad Murtadha; Salimin, Rahmatul Hidayah

doi:10.11591/ijeecs.v17.i2.pp720-727

Cited by 5 publications

(5 citation statements)

References 24 publications

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“…Generally, connecting DG systems in a demands-dominated area is essential, as it needs to import power to meet the electricity needs of consumers. Therefore, the placement of DG has the potential to enhance voltage stability in the distribution system, as it can reach the maximum demands (27).…”

Section: The Impact Of Solar Distributed Generation On Voltage Stabilitymentioning

confidence: 99%

The Review on Voltage Stability Analysis of Power Systems with SolarDistributed Generation using VCPI

Samburi,

Mohamad Nor

2023

IJCERT

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This comprehensive review paper investigates the challenges and strategies of maintaining voltage stability in power systems integrated with solar distributed generation, focusing on the application of the Voltage Collapse Proximity Index (VCPI). As renewable energy, particularly solar power, becomes increasingly prevalent in power grids, understanding its impact on voltage stability is crucial. VCPI emerges as a vital tool in this context, offering a reliable measure for assessing the risk of voltage instability. This paper synthesizes various research findings and methodologies related to VCPI, highlighting its role in enhancing grid resilience against voltage instability in solar-integrated systems. The results indicate that VCPI is effective in predicting voltage collapse, especially in scenarios with high solar power penetration. This review not only collates data from diverse studies to present a coherent view of the current state of voltage stability in solar-integrated power systems but also identifies gaps and suggests directions for future research. It aims to provide a foundation for enhancing voltage stability mechanisms and strategies in power systems with a growing reliance on solar energy. This work is particularly relevant for researchers and practitioners seeking to optimize the integration of renewable energy sources into existing power grids while maintaining grid stability and reliability.

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Section: The Impact Of Solar Distributed Generation On Voltage Stabilitymentioning

confidence: 99%

The Review on Voltage Stability Analysis of Power Systems with SolarDistributed Generation using VCPI

Samburi,

Mohamad Nor

2023

IJCERT

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“…It is subject to the constraints according to Eqs. (12)(13)(14)(15)(16). The weight factor for active power loss International Journal of Intelligent Engineering and Systems, Vol.…”

Section: Dg Size Optimizationmentioning

confidence: 99%

“…Various studies present DG capacity optimization, deployment, and penetration rates in radial distribution systems (RDS). Optimizing DG capacity for mitigating the loss of power and strengthening the bus voltage profile on the RDS has been done by implementing the Accelerated Particle Swarm Optimization (PSO) [2,3], Backtracking Search [4], Binary PSO and shuffled frog leap (SLFA) [5], Stud Krill herd algorithm [6], a hybrid of the grasshopper optimization algorithm (GOA) and cuckoo search (CS) technique [7], and a genetic algorithm (GA) and ant colony algorithm (ACO) [8], a combined of GA and PSO [9], differential evolution (DE) [10], imperialist competition algorithm (ICA) [11,12], and firefly algorithm (FA) [13]. In [14] presents optimizing DG to increase the Voltage Stability Index and reduce power losses using the Bat Algorithm with variations in loudness and pulse.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Adaptively Modified Firefly and Differential Evolution in DG Integration Optimization for Improving the Radial Power Distribution Networks

2023

IJIES

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This paper discusses optimizing DG location and size to reduce power loss and bus voltage deviation index in a 51-bus radial distribution network. Optimization of DG placement uses the firefly algorithm, and optimization of DG size uses the differential evolution (DE) algorithm. The results showed that the optimal locations were on buses 16, 45, and 15, with the highest sensitivity indices of 0.6667, 0.0612, and 0.0601. DG at a lagging power factor of 0.95 gives optimal results with sizes of 358.5157, 500.0000, and 499.9781 kW. Active and reactive power loss reduction is 44.6948% and 66.7038% of the system's power loss without DG. In optimizing DG placement, AMFA converges faster than DE, GA, and ICA. In the case of DG size optimization, the DE algorithm converges quicker and gives the most optimal results with a fitness value of 0.12385 which is smaller than the FA, GA, and ICA algorithms.

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“…One system for arranging a sensitive controller is the web tuning of a critical figuring and makes the structure tangled. Another system for getting sorted out FLC is utilized for a PID regulator and tunes the information scaling parts and PID limits [28], [29]. In initial approach, the scaling-factors are staying stable whereas in next approach the scaling factors are picked steadily when the regulator is working.…”

Section: Structure Of Combined Fuzzy Pid Regulatormentioning

confidence: 99%

Combined fuzzy PID regulator for frequency regulation of smart grid and conventional power systems

Nayak

Kar

Dash

2021

IJEECS

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In continually increasing area and structure of modern power system having burden demand uncertainties, the use of knowledgeable and vigorous frequency power strategy is essential for the satisfactory functioning of the Power system. A combined fuzzy proportional-integral-derivative (CFPID) controller is suggested for frequency supervision of the power system. To optimize the controller parameters, a review of sine and cosine work adjusted improved whale optimization algorithm (SCiWOA) has been utilized. The next practical application of power-system frequency control is performed by designing a CFPID controller using the proposed SCiWOA technique for a smart grid system having inexhaustible sources like sun oriented, wind, photovoltaic and capacity gadgets like a battery, flywheel just as module electric vehicles. The first advantages of the SCiWOA tuned CFPID controller over hybrid-particle-swarm-optimization and pattern-search (hPSO-PS) adjusted fuzzy proportional-integral (FPI) controller, hybrid bacterial foraging optimization algorithm-particle swarm optimization (hBFOA-PSO) adjusted proportional-integral (PI) controller, genetic algorithm (GA) tuned proportional and integral (PI) controller, BFOA adjusted PI controller, jaya algoritm (JA) tuned PID with derivative filter (PIDN) controller and teaching learning based optimization (TLBO) tuned proportional-integral-derivative (PID) controller are demonstrated for the two-area non-reheat thermal power system. The second advantages of the SCiWOA tuned CFPID controller over artificial-bee-colony (ABC) tuned PID controller, SOSA tuned PID controller and Firefly algorithm (FA) tuned PID controller are demonstrated for two-area reheat thermal power system. It is seen that SCiWOA based CFPID controller is more effective in controlling the recurrence comparative with PID regulator.

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Optimal sizing of distributed generation using firefly algorithm and loss sensitivity for voltage stability improvement

Cited by 5 publications

References 24 publications

The Review on Voltage Stability Analysis of Power Systems with SolarDistributed Generation using VCPI

The Review on Voltage Stability Analysis of Power Systems with SolarDistributed Generation using VCPI

A Hybrid Adaptively Modified Firefly and Differential Evolution in DG Integration Optimization for Improving the Radial Power Distribution Networks

Combined fuzzy PID regulator for frequency regulation of smart grid and conventional power systems

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