A Case Study of Optimization of a Solar Power Plant Sizing and Placement in Madhya Pradesh, India Using Multi-Objective Genetic Algorithm

Verma, Manoj; Ghritlahre, Harish Kumar; Bajpai, Surendra

doi:10.1007/s40745-021-00334-z

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…The authors in [12] use the genetic algorithm to locate the best installation point of a photovoltaic plant to supply energy to cities in India, configuring an external redistribution problem, in [13] it is using the proposed method to maximize the efficiency of the solar cells through the optimization of silicon doping, whereas the authors in [14] use the genetic algorithm to build inverters through the control of electronic components.…”

Section: Fig 1 Genetic Algorithmmentioning

confidence: 99%

Optimization Method for the Internal Distribution Network of a Photovoltaic Plant Using Genetic Algorithm

Nascimento,

Monteiro,

Borges

2023

CJAST

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Solar energy has grown exponentially around the world because it is clean and renewable, with this, photovoltaic plants are installed for its consumers as well as to relieve the electrical system of the country and guarantee the reliability. In this way, carrying out a correct dimensioning and finding a layout for the execution of a solar plant is important because it can increase or minimize the electrical losses as well as the investment. This study uses the genetic algorithm in order to find better layout to optimize the energy loss on an implanted solar power plant and resize the conductors by current capacity and voltage drop, the study shows how to program Excel to solve the multi-positioning problem through the genetic algorithm in a solar power plant. The results show that the optimization proposed by the genetic algorithm was able to reduce electrical losses by 75% and the net present value over a period of 25 years was reduced by 25%. Future research will be carried out considering 3D plans covering solar plants that are installed on the roof.

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Section: Fig 1 Genetic Algorithmmentioning

confidence: 99%

Optimization Method for the Internal Distribution Network of a Photovoltaic Plant Using Genetic Algorithm

Nascimento,

Monteiro,

Borges

2023

CJAST

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“…Despite the delay caused by the COVID-19 epidemic in many supply chains, according to the International Renewable Energy Agency (IRENA), renewable energy capacity increased globally to at least 2537 GW at the beginning of 2020, representing a 50% increase over 2019. However, solar energy increased by 24% to 94 GW during the same year, while wind energy increased by 18% to 111 GW [1].…”

Section: Introductionmentioning

confidence: 99%

Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O Algorithms

Ali

Najafi

2022

International Transactions on Electrical Energy Systems

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This research investigated the performance of a 5 MW PV grid-connected plant in Al Fashir City, Sudan. The research aims to improve the performance and increase the efficiency of the Al Fashir plant by identifying the maximum power point and increasing the tracking efficiency based on the algorithms developed. The PV systems benefit from MPPT approaches because they improve power output and energy delivery to the load while also extending the useful life of the PV system. The P&O algorithm performance is compared to the ANN trained by the PSO method by a set of solar radiation values. However, time response, oscillation, and stability are the three most important factors to consider when evaluating the effectiveness of any MPPT algorithm. The results show that the ANN trained by the performance of the PSO algorithm was better in time response, tracking speed, and oscillation than the P&O algorithm and could identify the new power point quickly. The results of this study will assist in resizing the PV plant and improve the operation performance and efficiency to provide affordable and reliable power accessible to the people in Al Fashir city.

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Role of solar water heater refurbishment in student hostel building to achieve sustainability goals: A techno-economic study

Gautam,

Chamoli,

Joshi

2024

Energy and Climate Change

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A Case Study of Optimization of a Solar Power Plant Sizing and Placement in Madhya Pradesh, India Using Multi-Objective Genetic Algorithm

Cited by 5 publications

References 26 publications

Optimization Method for the Internal Distribution Network of a Photovoltaic Plant Using Genetic Algorithm

Optimization Method for the Internal Distribution Network of a Photovoltaic Plant Using Genetic Algorithm

Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O Algorithms

Role of solar water heater refurbishment in student hostel building to achieve sustainability goals: A techno-economic study

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