Emission-averse techno-economical study for an isolated microgrid system with solar energy and battery storage

Kumar, Mukesh; Diwania, Sourav; Sen, Sachidananda; Rawat, Harendra Singh

doi:10.1007/s00202-023-01785-8

Cited by 11 publications

(2 citation statements)

References 27 publications

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“…In ref. [13], the authors suggested the optimal operating method for renewable energy-supported isolated microgrids. It employs carbon capture-based technologies to reduce CO2 impact and incorporates an emission-averse model.…”

Section: Highlightsmentioning

confidence: 99%

Impact Analysis of Demand Response on the Optimal Placement of Solar PV Systems in the Distribution Network

Saxena,

Kumar,

Nangia

2024

Braz. arch. biol. technol.

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In recent years, there has been a growing interest in integrating distributed generation (DG) technologies into the distribution network (DN) to improve system efficiency, reduce carbon emissions, and increase the power system's reliability. However, the optimal placement of DG systems within the DN is a difficult task, since it is dependent on several variables, including load demand, renewable energy sources, and energy storage systems (ESS). In this context, demand response (DR) programs can play a vital role in enhancing the efficiency of DG systems, since they allow consumers to lower their energy usage during peak hours and move their demand to off-peak hours. DR and solar photovoltaic (SPV) systems are two prominent technologies that can play a substantial role in the power DN. In this paper, a bi-level particle swarm optimization (PSO) method is employed to determine the best allocation of DG in the coordination of DR. In the suggested methodology, the first level of optimization determines the optimal size and location of DG, and the second level of optimization determines the optimal power dispatch in the coordination of DR. The proposed method is implemented on the IEEE 33 bus system, and the results demonstrate that the power quality parameters have significantly improved.

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Section: Highlightsmentioning

confidence: 99%

Impact Analysis of Demand Response on the Optimal Placement of Solar PV Systems in the Distribution Network

Saxena,

Kumar,

Nangia

2024

Braz. arch. biol. technol.

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“…The use of renewable energy sources (wind, solar, geothermal, etc.) is a result of the world's rising energy needs, climate change, and desire for a better planet (Kumar et al, 2023b). However, these resources are only available during certain times of the year, and the load needs change over time (Zdiri et al, 2019;Bilel et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Grid interface control of wind–solar generator in Hail region of Saudi Arabia using FOPI controller

Younsi,

Kahouli,

Alsaif

et al. 2023

Front. Energy Res.

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This study investigates the performance of a wind–solar generator (WSG) in the Hail region of Kingdom of Saudi Arabia (KSA) with a fractional order PI controller (FOPI) applied to the grid connection line. The proposed hybrid generator consists of a wind turbine with a PMSM machine and a PV panel connected to a secondary distribution grid by a DC link, three-phase inverter, and an RL filter. The line currents injected into the grid and/or loads are controlled by calculating the output reference voltage of an inverter and by the reference active and reactive requested powers. For this purpose, control loops around the RL filter were developed with fractional-order proportional-integral (FOPI) controllers, and a comparison with classic PI controllers was made. The system was simulated using the MATLAB/Simulink software. The results showed that the generator satisfied the power demand under the climatic conditions of the Hail region. They also demonstrated the good performance of the proposed controllers, which had good tracking accuracy and robustness to variations in wind speed and power demanded by loads in a very short time. The FOPI controller exhibited faster dynamic response and less overshoot than the classic PI controller.

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Energy trading strategy of community shared energy storage

Khojasteh,

Faria,

Gomes

et al. 2023

Electr Eng

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One of the challenges of renewable energy is its uncertain nature. Community shared energy storage (CSES) is a solution to alleviate the uncertainty of renewable resources by aggregating excess energy during appropriate periods and discharging it when renewable generation is low. CSES involves multiple consumers or producers sharing an energy storage system. This work presents an optimal strategy for CSES operators and community members to determine their optimal energy trading strategy based on social welfare maximization. Energy communities contain diverse resources, demand patterns, and constraints. The Alternating Direction Method of Multipliers (ADMM) technique is an iterative nature that decomposes the original problem into smaller sub-problems and enables parallel processing of these sub-problems. The final decomposed subproblems enable community agents to determine their optimal strategies independently decreasing the solving time, speeding up convergence to the optimal solution, and improving the scalability. The performance of the proposed model is evaluated by a case study. The presented model demonstrates that by leasing the capacity of CSES, community members could decrease their energy supply costs. Moreover, the CSES can supply the required charging and discharging power of community members from the local grid.

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Emission-averse techno-economical study for an isolated microgrid system with solar energy and battery storage

Cited by 11 publications

References 27 publications

Impact Analysis of Demand Response on the Optimal Placement of Solar PV Systems in the Distribution Network

Impact Analysis of Demand Response on the Optimal Placement of Solar PV Systems in the Distribution Network

Grid interface control of wind–solar generator in Hail region of Saudi Arabia using FOPI controller

Energy trading strategy of community shared energy storage

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