Employing demand side management for selection of suitable scenario-wise isolated integrated renewal energy models in an Indian remote rural area

Rajanna, S.; Saini, R.P.

doi:10.1016/j.renene.2016.08.024

Cited by 32 publications

(9 citation statements)

References 31 publications

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“…The concept of DSM has inspired the attention of researchers working on autonomous IHRESs. Rajanna and Saini [29] used GA and PSO algorithms to analyze the performance of four un-electrified village zones in India with a DSM strategy using three investment-based scenarios, such as low investment with high rating appliances, medium investment with moderate rating appliances, and high investment with low rating appliances and found that the systems with DSM strategy had the lowest costs using PSO.…”

Section: Literature Review Of Demand-side Managementmentioning

confidence: 99%

Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context

Kumar¹,

Nuvvula²,

et al. 2022

Energies

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A significant portion of the Indian population lives in villages, some of which are located in grid-disconnected remote areas. The supply of electricity to these villages is not feasible or cost-effective, but an autonomous integrated hybrid renewable energy system (IHRES) could be a viable alternative. Hence, this study proposed using available renewable energy resources in the study area to provide electricity and freshwater access for five un-electrified grid-disconnected villages in the Odisha state of India. This study concentrated on three different kinds of battery technologies such as lithium-ion (Li-Ion), nickel-iron (Ni-Fe), and lead-acid (LA) along with a diesel generator to maintain an uninterrupted power supply. Six different configurations with two dispatch strategies such as load following (LF) and cycle charging (CC) were modelled using nine metaheuristic algorithms to achieve an optimally configured IHRES in the MATLAB© environment. Initially, these six configurations with LF and CC strategies were evaluated with the load demands of a low-efficiency appliance usage-based scenario, i.e., without demand-side management (DSM). Later, the optimal configuration obtained from the low-efficiency appliance usage-based scenario was further evaluated with LF and CC strategies using the load demands of medium and high-efficiency appliance usage-based scenarios, i.e., with DSM. The results showed that the Ni-Fe battery-based IHRES with LF strategy using the high-efficiency appliance usage-based scenario had a lower life cycle cost of USD 522,945 as compared to other battery-based IHRESs with LF and CC strategies, as well as other efficiency-based scenarios. As compared to the other algorithms used in the study, the suggested Salp Swarm Algorithm demonstrated its fast convergence and robustness effectiveness in determining the global best optimum values. Finally, the sensitivity analysis was performed for the proposed configuration using variable input parameters such as biomass collection rate, interest rate, and diesel prices. The interest rate fluctuations were found to have a substantial impact on the system’s performance.

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Section: Literature Review Of Demand-side Managementmentioning

confidence: 99%

Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context

Kumar¹,

Nuvvula²,

et al. 2022

Energies

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“…Economic consideration includes investment decision related to initial capital costs, maintenance costs, replacement costs, grid buying/selling costs, and EV charging costs. [ 39 ] Usually, estimate of levelized cost of energy is preferred and utilized for critical decision making in investment plan. However, it excludes the penalty cost for local load shedding or excess generation which may impact the economic feasibility of community level distributed generation systems over the project life cycle.…”

Section: Deterministic Planning Of Prosumer Centric Renewable Based E...mentioning

confidence: 99%

Deterministic Robust Planning and Probabilistic Techno‐Economic Assessment of a Sector Coupled Community Energy System

Kumar

Namrata

Samadhiya

2022

Advcd Theory and Sims

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This paper proposes a systematic approach to examine the techno-economical impact of a renewable based prosumer centric hybrid energy system (HES) connected to the local distribution grid. Systematic approach includes deterministic and probabilistic framework for optimal planning, scheduling, management, and assessment of HES. During the initiation stage, major components of the HES are identified as solar, Li-ion batteries and biomass to enable cross-sectoral participation whereas electric vehicle (EV) charging to promote smart electric-mobility. Through stage-wise data collection, processing, and training, hourly solar-radiation historical data is classified into three seasons through kernelized space-vector approach. Similarly, probabilistic assessment of EV arrival rate and charging requests are estimated through historical charging data. Based on initial system architecture, deterministic approach includes objective function formulation and its optimal solution through aggrandized class topper optimization (ACTO), particle swarm optimization (PSO), and JAYA algorithm. The objective function is realized through upper-level economic problem and lower-level technical sub-problems. Analyzing the convergence characteristics, the optimal system dynamics and capacity estimated using ACTO is considered as the best with a minimum cost of energy of Rs. 4.235 per kWh. Finally, the probabilistic assessment is carried out through three levels of uncertainty to examine the system cost variations in each scenario.

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“…21 Chauhan and Saini 22 employed the demand response methodology for electrifying a site in India using an off-grid HRES. Rajanna and Saini 23 proposed a demand-side management approach for component sizing and suitable configuration selection for an HRES integrated with a battery.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the impact of battery selection on the feasibility of hybrid renewable energy systems

2022

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This paper assesses the technical, economic, and environmental feasibility of photovoltaic (PV)/wind turbines (WT)/diesel generator (DG)/battery‐based hybrid renewable energy systems (HRES) using lead acid (LA), lithium‐ion (LI), and iron Edison nickel‐iron (IE) battery technologies (BTs). The energy cost is optimized, and the obtained results are compared to select the best hybrid system. The LI battery employed in the PV/DG/battery system (206.43 kW PV, 50 kW DG, 53.04 kWh LI batteries, and 61.1 kW converter) performed comparatively much better, as levelized cost of energy (LCOE) was reduced by around 28% and 20%, and greenhouse gas (GHG) emissions were reduced by 31% and 6% as compared to the LA and IE batteries employed in HRES, respectively. In addition, sensitivity analysis reveals that the capital cost of PV and the discount rate are more critical to determining the LCOE and renewable penetration. In contrast, the effect of the battery cost and inflation rate is relatively small. Finally, comparing the optimal resource configuration has confirmed that PV/DG/LI has significantly reduced LCOE (58% less than DG/LI) and GHG emissions (87% less than DG/LI).

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Employing demand side management for selection of suitable scenario-wise isolated integrated renewal energy models in an Indian remote rural area

Cited by 32 publications

References 31 publications

Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context

Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context

Deterministic Robust Planning and Probabilistic Techno‐Economic Assessment of a Sector Coupled Community Energy System

Assessment of the impact of battery selection on the feasibility of hybrid renewable energy systems

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