Modified Shuffled Frog Leaping Optimization Algorithm Based Distributed Generation Rescheduling for Loss Minimization

The restructuring of power systems and the ever-increasing demand for electricity have given rise to congestion in power networks. The use of distributed generators (DGs) may play a significant role in tackling such issues. DGs may be integrated with electrical power networks to regulate the drift of power in the transmission lines, thereby increasing the power transfer capabilities of lines and improving the overall performance of electrical networks. In this article, an effective method based on the Harris hawks optimization (HHO) algorithm is used to select the optimum capacity, number, and site of solar-based DGs to reduce real power losses and voltage deviation. The proposed HHO has been tested with a complex benchmark function then applied to the IEEE 33 and IEEE 69 bus radial distribution systems. The single and multiple solar-based DGs are optimized for the optimum size and site with a unity power factor. It is observed that the overall performance of the systems is enhanced when additional DGs are installed. Moreover, considering the stochastic and sporadic nature of solar irradiance, the practical size of DG has been suggested based on analysis that may be adopted while designing the actual photovoltaic (PV) plant for usage. The obtained simulation outcomes are compared with the latest state-of-the-art literature and suggest that the proposed HHO is capable of processing complex high dimensional benchmark functions and has capability to handle problems pertaining to electrical distribution in an effective manner.

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“…Step 2 Generate the value of the size of PV DG within their upper (DG max ) and lower limits (DG min ). The same is shown in Equation (36).…”

Section: Computational Practice Of Hho For Dg Location and Valuesmentioning

confidence: 82%

“…The cuckoo search algorithm was used by Yuvaraj and Ravi [35] to improve the voltage profile and reduce power losses in biomass and solar-thermal DG units. To optimize the system voltage profile and decrease line losses, Arya and Koshti [36] used a shuffled frog leaping algorithm.…”

Section: Introductionmentioning

confidence: 99%

Solar-Based DG Allocation Using Harris Hawks Optimization While Considering Practical Aspects

et al. 2021

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Evaluation of Series Voltage Injection Using Genetic Algorithm for Constant Load End Voltage

Wagh,

Koshti

2022

Lecture Notes in Electrical Engineering

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Novel Western Jackdaw search, antrostomus swarm and Indian ethnic vedic teaching: inspired optimization algorithms for real power loss diminishing and voltage consistency growth

Lenin¹

2022

Int J Syst Assur Eng Manag

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Modified Shuffled Frog Leaping Optimization Algorithm Based Distributed Generation Rescheduling for Loss Minimization

Cited by 10 publications

References 21 publications

Solar-Based DG Allocation Using Harris Hawks Optimization While Considering Practical Aspects

Solar-Based DG Allocation Using Harris Hawks Optimization While Considering Practical Aspects

Evaluation of Series Voltage Injection Using Genetic Algorithm for Constant Load End Voltage

Novel Western Jackdaw search, antrostomus swarm and Indian ethnic vedic teaching: inspired optimization algorithms for real power loss diminishing and voltage consistency growth

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