Integrated techno-economic-enviro-socio design of the hybrid renewable energy system with suitable dispatch strategy for domestic and telecommunication load across India

Kushwaha, Pawan Kumar; Bhattacharjee, Chayan

doi:10.1016/j.est.2022.105340

Cited by 33 publications

(15 citation statements)

References 61 publications

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“…T A B L E A 2 Different components' techno-economic data is used as simulated input data. 23,62,65,[67][68][69]73,75,76…”

Section: Discussionmentioning

confidence: 99%

“…Various studies considered various factors in HRES optimization, including dispatch techniques, 16 energy management based on demand–supply, 17 job creation, 18 human development index, 19 carbon emission, 20,21 and techno‐economic 22–25 . Table 1 62 shows the results of numerous studies on HRES size optimization using various design parameters and approaches. The reference number 11,16,18,20,25–61,63 is same as used in Table 1 62 and quoted as reference number 11–51.…”

Section: Introductionmentioning

confidence: 99%

“…Table 1 62 shows the results of numerous studies on HRES size optimization using various design parameters and approaches. The reference number 11,16,18,20,25–61,63 is same as used in Table 1 62 and quoted as reference number 11–51.…”

Section: Introductionmentioning

confidence: 99%

“…62 and quoted as reference num-ber 11-51. The above research focuses on HRES design considering technological and/or economic factors.…”

mentioning

confidence: 99%

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Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

Kushwaha,

Bhattacharjee

2024

Env Prog and Sustain Energy

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Electricity supply reliability in an electricity distribution network is majorly affected due to unexpected power failures and power cuts. A hybrid renewable energy system (HRES) with the optimal size of renewable energy sources can substantially improve power reliability. Therefore, this article develops an objective function incorporating socio‐techno‐economic‐environmental (STEE) factors for HRES optimal sizing to supply reliable power to a rural village. The factors considered in the objective function are namely social (employment generation factor, human progress index, and land cost), technical (excess energy factor, renewable energy portion, and loss of power supply probability), economical (total net present cost, cost of energy, and annualized cost of system), and environmental (emission cost). In this article, for the first time, marine predators algorithm (MPA) based metaheuristic optimizer is devised to address the sizing optimization problem of HRES. Three HRES configurations, having different arrangements of diesel generator (DG), biogas generator (BG), battery (BAT), wind turbine (WT), and photovoltaic (PV), are examined utilizing MPA, particle swarm optimization (PSO), salp swarm algorithm (SSA), and genetic algorithm (GA) for optimal configuration. Due to the lowest value of economical and environmental factors and the highest value of the social factor, the PV‐WT‐BAT‐BG‐DG configuration is optimal compared to other investigated configurations with MPA. Comparing the four optimizers, MPA has the best STEE factor values, as well as stronger convergence, greater ability to escape from local minima, and higher ability to approach the global optimum. Additionally, by contrasting it with the PSO result for the three HRES configurations, the MPA result quality is confirmed. Furthermore, the cost of energy (0.1799 $/kWh) of the optimal configuration is less than the latest addressed in the literature.

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“…T A B L E A 2 Different components' techno-economic data is used as simulated input data. 23,62,65,[67][68][69]73,75,76…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…62 and quoted as reference num-ber 11-51. The above research focuses on HRES design considering technological and/or economic factors.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

Kushwaha,

Bhattacharjee

2024

Env Prog and Sustain Energy

Self Cite

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“…In addition, as power system response analysis, they did not consider reactive power and bus voltage responses which are two important parameters. In [20], the authors determined the best dispatch method for telecommunication and residential demand fulfillment in India. In order to determine the best dispatch solution, the study paid particular attention to the technical, economic, environmental, and social (TEES) factors.…”

Section: Introductionmentioning

confidence: 99%

Grid Connected Microgrid Optimization and Control for a Coastal Island in the Indian Ocean

et al. 2022

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For the suggested site in the Maldives, this research paper analyzes the possibility of a hybrid renewable microgrid that is dispatch strategy-governed in both off-grid and on-grid scenarios. The planned microgrid’s techno-environmental-economic-power-system responses have been assessed. Both the power system response study and the techno-environmental-economic study of the modelled microgrid were carried out using the software platforms DIgSILENT PowerFactory and HOMER Pro respectively. Cycle charging (CC) dispatch technique had the lowest performance for both on and off-grid modes, according to the research, with cost of energy (COE) of 0.135 and 0.213 dollars per kWh, and net present costs (NPC) of 132,906 and 147,058 dollars respectively. With an NPC of 113,137 dollars and a COE of 0.166 dollars/kWh, the generator order strategy operates optimally while in on-grid mode. On the other hand, load following operates at its finest in off-grid mode, with a COE of 0.024 dollars/kWh and a NPC of 141,448 dollars. The microgrid’s reactive power, different bus voltages and frequency responses demonstrate how the proposed system, which employs the dispatch approach, voltage Q droop, and input mode PQ controller, operates steadily. For the purpose of illustrating the importance of the research effort, a comparison section between the planned HOMER optimizer and other optimization approaches is also included. The research was done with the Maldives in mind, but it offers a general notion for setting up a microgrid anyplace in the world with comparable weather and load circumstances. The research was done with the Maldives in mind, but it offers a general notion for setting up a microgrid anyplace in the world with comparable weather and load circumstances.

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Optimal design and performance analysis of coastal microgrid using different optimization algorithms

Bakeer,

Elmorshedy,

Salama

et al. 2023

Electr Eng

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Owing to the stochastic behavior of renewable energy activity and the multiple design considerations, the advancement of hybrid renewable energy-based microgrid (HREMG) systems has become a complex task. This study proposes a design optimization algorithm for the long-term operation of an autonomous HREMG along with the optimal system capacities. The investigated energy system comprises photovoltaic panels, wind turbines, diesel generators, and batteries. It aims to energize a remote coastal community with a daily load demand of 400 kWh in Marsa Matruh, Egypt. Since most studies utilize commercial tools in the design optimization procedure, the African vultures optimization approach (AVOA) is developed to find the optimal energy alternative and determine the optimal component’s capacity considering achieving the minimum energy cost and loss of power supply probability. Moreover, an adequate energy management strategy is suggested to coordinate the power flow within the energy system in which renewable energy sources are fully penetrated. To check the AVOA robustness and efficacy, its performance is compared with the HOMER Pro most popular commercial tool as well as with new metaheuristic algorithms, namely the grasshopper optimization algorithm (GOA) and Giza pyramid construction (GPC) under the same operating environment. The results revealed that the proposed AVOA achieved superior economic results toward the least net present cost ($346,614) and energy price (0.0947 $/kWh). Moreover, over 20 independent runs, the AVOA showed a better performance in terms of convergence and execution time compared to other tools/algorithms. The obtained findings could be a useful benchmark for researchers in the sizing problem of hybrid energy systems.

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Integrated techno-economic-enviro-socio design of the hybrid renewable energy system with suitable dispatch strategy for domestic and telecommunication load across India

Cited by 33 publications

References 61 publications

Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

Grid Connected Microgrid Optimization and Control for a Coastal Island in the Indian Ocean

Optimal design and performance analysis of coastal microgrid using different optimization algorithms

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