Index-based transmission for distributed generation in voltage stability and loss control incorporating optimization technique

Kahar, Fareed Danial Ahmad; Musirin, Ismail; Nazer, Muhamad Faliq Mohamad; Jelani, Shahrizal; Mansor, Mohd Helmi

doi:10.11591/ijai.v9.i2.pp244-251

Cited by 3 publications

(4 citation statements)

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“…The limits of TDS are generally 0.1 and 1.1 s [24]. The limits of PS are calculated using (8) and (9), where ILmax is the maximal load current and IFmin is the minimal fault current [5].…”

Section: Problem Formulationmentioning

confidence: 99%

“…In this regard, the integration of distributed generators (DGs) using renewable energy has become a global concern, given the decreasing costs of power transmission and large power plants construction, the reduction of energy losses, and the decreasing demand for electrical energy on the power grid [8]. Despite its many advantages, these generators have several impacts on electrical network parameters [9], namely the impact on power flow and the modification of fault current values [10] that can affect the operation of electrical network protection schemes. This influence can result in reduced system reliability, increased corrective maintenance costs and poor coordination between existing protective relays in the network [11].…”

Section: Introductionmentioning

confidence: 99%

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Comparative study of optimization methods for optimal coordination of directional overcurrent relays with distributed generators

Idrissi

Haidi²,

Elmariami³

et al. 2023

IJ-AI

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<span lang="EN-US">Due to the growing penetration of distributed generators (DGs), that are based on renewable energy, into the distribution network, it is necessary to address the coordination of directional overcurrent relays (DOCR) in the presence of these generators. This problem has been solved by many metaheuristic optimization techniques to obtain the optimal relay parameters and to have an optimal coordination of the protection relays by considering the coordination constraints. In this article, a comparative study of the optimization techniques proposed in the literature addresses the optimal coordination problem using digital DOCRs with standard properties according to IEC60-255. For this purpose, the three most efficient and robust optimization techniques, which are particle swarm optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are considered. Simulations were performed using MATLAB R2021a by applying the optimization methods to an interconnected 9-bus and 15-bus power distribution systems. The obtained simulation results show that, in case of distributed generation, the best optimization method to solve the relay protection coordination problem is the differential evolution DE. </span>

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“…The limits of TDS are generally 0.1 and 1.1 s [24]. The limits of PS are calculated using (8) and (9), where ILmax is the maximal load current and IFmin is the minimal fault current [5].…”

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparative study of optimization methods for optimal coordination of directional overcurrent relays with distributed generators

Idrissi

Haidi²,

Elmariami³

et al. 2023

IJ-AI

View full text Add to dashboard Cite

show abstract

“…All the objective functions are based on load flow results [28]. The fitness function within the system may be expressed via (1).…”

Section: Problem Formulationmentioning

confidence: 99%

“…Distributed generation (DG) is a technology of generating a small amount of electrical energy close to the load centre [1], [2]. DG can be a standalone facility for residential and commercial use or part of a microgrid [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network

Bujal

Kadir

Sulaiman

et al. 2022

IJPEDS

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<span lang="EN-MY">Distributed generation (DG) can be beneficially allocated in distribution power systems to improve the power system's efficiency. However, specious DG's allocation and sizing may cause more power loss and voltage profile issues for distribution feeders. Therefore, optimization algorithms are vital for future intelligent power distribution network planning. Hence, this study proposes a multi-objective firefly analytical hierarchy algorithm (FAHA) for determining the optimal allocation and sizing of DG. The multi-objective function formulation is improved further by integrating analytical hierarchy process (AHP) with FA to obtain the weight of the coefficient factor (CF). The performance of the proposed approach is verified on the 118-bus radial distribution network with different bus voltage at DG location (VDG) as regulated PV-bus during load flow calculations. The calculated CF and impact of the unregulated voltage at the PV-bus on the objectives function have been analysed. The findings show that the proposed techniques could allocate the DG at the most voltage deviation while minimizing the power loss and improving the radial distribution’s voltage stability index (VSI). The experimental results indicate that the approach is able to improve the overall voltage profile, especially at PQ-buses, minimize the power loss while improving the network's stability index simultaneously.</span>

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Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System

Shukor

Musirin

Hamid

et al. 2022

2022 IEEE International Conference on Power and Energy (PECon)

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Index-based transmission for distributed generation in voltage stability and loss control incorporating optimization technique

Cited by 3 publications

References 0 publications

Comparative study of optimization methods for optimal coordination of directional overcurrent relays with distributed generators

Comparative study of optimization methods for optimal coordination of directional overcurrent relays with distributed generators

Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network

Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System

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