Design and optimisation of stand-alone hybrid energy system for rural areas

Raghuwanshi, Santosh S.; Masih, Animesh; Raghuwanshi, Prashant

doi:10.1080/01430750.2022.2103185

Cited by 9 publications

(4 citation statements)

References 41 publications

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“…The economic performance of DG is dependent on the fuel and its cost. DG fuel consumption follows 25 :…”

Section: Diesel Generatormentioning

confidence: 99%

“…Batteries suffice very well and ensure optimum usage of the source. 25 Lead-acid battery is widely utilized because of their low-cost charging process. These batteries perform well in deep discharge mode compared to any other batteries.…”

Section: Battery Energy Storagementioning

confidence: 99%

“…LOLP: LOLP has defined the energy generation probability, which is inadequate to fulfill the load demand at a specified time. The reliability index LOLP is as follows 25,26 :…”

Section: Objective Functionmentioning

confidence: 99%

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Modeling and optimization of hybrid renewable energy with storage system using flamingo swarm intelligence algorithms

Raghuwanshi

Masih

et al. 2023

Energy Storage

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This paper unveils the simulation and optimum design of five models based on photovoltaic (PV), diesel generator (DG), and battery energy systems for rural area farmhouse load demand (agriculture and household). The choice for designing an optimal energy system is constructed on minimum technical considerations like loss of load probability (LOLP), economic (cost of electricity [COE] with net present cost [NPC]), environmental (CO2 aspects) using a novel flamingo swarm intelligence algorithm (FSIA). The optimization results are compared by particle swarm intelligence algorithm, improved particle swarm intelligence algorithm, genetic algorithms, and hybrid optimization of multiple energy resources (HOMER‐Pro). FSIA shows PV/DG/battery energy system to be an optimal system as regards NPC (Rs. 8 056 734), COE (12.14 Rs./kWh), CO2 (13 784 kg/y), and LOLP (0.00000501 per year). The saving of the fuel cost and CO2 emission from PV/DG/battery to DG only system is 66.10% and 61.26%, respectively.

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“…The economic performance of DG is dependent on the fuel and its cost. DG fuel consumption follows 25 :…”

Section: Diesel Generatormentioning

confidence: 99%

Section: Battery Energy Storagementioning

confidence: 99%

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Modeling and optimization of hybrid renewable energy with storage system using flamingo swarm intelligence algorithms

Raghuwanshi

Masih

et al. 2023

Energy Storage

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“…In particular, in the industrial zones located in the south of the country, the application of this technique constitutes the way of transition par excellence, in particular in the oil sector. (Sakhrieh et al 2022;Das et al 2017;Raghuwanshi et al 2022;Aykut and Evrard 2017;Rekioua et al 2008;Bentouba and Bourouis. 2016;Dekker et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of hybrid PV-diesel-storage system in AGRS-Hassi R’mel Algeria

Mahmoudi,

Bouaziz,

Bouaziz

et al. 2023

Int. J. Renew. Energy Dev.

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The main research paper focuses on the optimal hybrid system using HOMER software in the central plant of Hassi R’mel. Indeed, the system is composed of PV panels, a battery bank, and a diesel engine, all of which are used to supply an industrial load. Hence, the present work proposes a solution to optimize the power generated by the power sources, maximize the photovoltaic source use, and minimize the use of the battery bank and the diesel generator. Moreover, the solution aims to guarantee the safe operation of the system components and continuity in the load power supply. These objectives are performed by the minimization of a cost function, in which the power generation cost, the energetic balance, and the environmental parameters are taken into consideration. Among the five solutions, the most optimal system obtained is PV/Diesel/batteries /Grid. This system consists of 1200 KW PV, an 1100 KW diesel generator, 800 units of battery, and an 1100 KW converter. Therefore, to supply the station with 49% of electricity by PV and 51% by diesel while the reduction of emissions is 60%, and 708020 liters of diesel is saved. Applying the sensitivity analysis also showed that renewable resources have an impact on the sizing of PV. When solar radiation increases, the size of renewable energy decreases and the NPC decreases as well. It can, thus, be illustrated that the PV/diesel/battery system is not fully-optimal. This strategy is recommended for industrial system security since it can be used to ensure systems from an energetic and economic point of view.

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Reliability Evaluation and Performance of Hybrid Photovoltaic Energy Systems for Rural Electrification Using Markov Process

Raghuwanshi,

Singh,

Vardhan

et al. 2024

Reliability Analysis of Modern Power Systems

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Design and optimisation of stand-alone hybrid energy system for rural areas

Cited by 9 publications

References 41 publications

Modeling and optimization of hybrid renewable energy with storage system using flamingo swarm intelligence algorithms

Modeling and optimization of hybrid renewable energy with storage system using flamingo swarm intelligence algorithms

Performance analysis of hybrid PV-diesel-storage system in AGRS-Hassi R’mel Algeria

Reliability Evaluation and Performance of Hybrid Photovoltaic Energy Systems for Rural Electrification Using Markov Process

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