Protagonist of renewable energy in distributed generation: a review

Saxena, Vivek

doi:10.18845/tm.v34i4.5404

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…The optimisation model, constructed by supply side and demand side sources, represented that DR and ESS's capacity can positively influence renewables' integration with lower electricity purchasing [125]. Moreover, the study [126] also focused on the importance of DR and ESS in forecasting the RES availability and integration. Considering the importance of the energy storage configuration, including PVs and adjustable loads, a general electrical energy storage despatching model was developed in [127], which can be expressed as in Equations ( 8)-( 14):…”

Section: Dr With Vppmentioning

confidence: 99%

A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy

Yasmin,

Amin,

Shah

et al. 2024

Sustainability

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The transition from traditional fuel-dependent energy systems to renewable energy-based systems has been extensively embraced worldwide. Demand-side flexibility is essential to support the power grid with carbon-free generation (e.g., solar, wind.) in an intermittent nature. As extensive energy consumers, commercial and industrial (C&I) consumers can play a key role by extending their flexibility and participating in demand response. Onsite renewable generation by consumers can reduce the consumption from the grid, while energy storage systems (ESSs) can support variable generation and shift demand by storing energy for later use. Both technologies can increase the flexibility and benefit by integrating with the demand response. However, a lack of knowledge about the applicability of increasing flexibility hinders the active participation of C&I consumers in demand response programs. This survey paper provides an overview of demand response and energy storage systems in this context following a methodology of a step-by-step literature review covering the period from 2013 to 2023. The literature review focuses on the application of energy storage systems and onsite renewable generation integrated with demand response for C&I consumers and is presented with an extensive analysis. This survey also examines the demand response participation and potential of wastewater treatment plants. The extended research on the wastewater treatment plant identifies the potential opportunities of coupling biogas with PV, extracting the thermal energy and onsite hydrogen production. Finally, the survey analysis is summarised, followed by critical recommendations for future research.

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Section: Dr With Vppmentioning

confidence: 99%

A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy

Yasmin,

Amin,

Shah

et al. 2024

Sustainability

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“…DR refers to the capacity of consumers to modify their electricity use in response to price fluctuations or other signals. Integration of DR into the DN can aid in the reduction of peak demand, improvement of the grid's dependability, and reduction of the need for expensive infrastructure investments [1]. Many methods exist for analyzing the influence of DR on the optimal placement of SPV plants in the DN.…”

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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“…У äîâîєííèé ÷àñ òà п³ä ÷àñ âîєííîї àгðеñ³ї Рî-ñ³ї пðîòè Уêðàїíè âèâ÷еííю ц³єї пðîблеìè òà шляõ³â її âèð³шеííя пðèñâя÷еíà çíà÷íà ê³лüê³ñòü äîñл³äжеíü óêðàїíñüêèõ òà çàêîðäîííèõ фàõ³â-ц³â, çîêðеìà [4][5][6][7][8][9][10][11][12][13][14][15].…”

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Energy Potential of Distributed Generation at Powerful Boiler Houses of Ukraine in Conditions of Military Aggression

Teslenko

2024

Energ. Tech. & Res. Sav.

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The Integrated Power System of Ukraine (IPS) is purposefully destroyed by the russian aggressor and suffers significant damage, which has caused long-term emergency interruptions in the power supply of critical infrastructure facilities, enterprises and the population. One of the ways to increase the stability of the IPS of Ukraine is to increase the share of distributed generation in its composition. The conceptual idea of solving this problem is the transformation of existing critical infrastructure objects from electricity consumers into electricity producers/suppliers who will provide their own electricity needs and the needs of other electricity consumers. Boiler houses of centralized heat supply systems (DHS) of Ukrainian cities with their existing electric power and fuel infrastructure can become such objects in wartime conditions. The author proposes the widespread introduction of energy-efficient cogeneration gas-piston units (CGPUs) at boiler houses of the DHS. The container-type CGPU is a typical mass-produced equipment that is manufactured in Ukraine and abroad and has a short implementation period (up to 5 days from the date of delivery to the industrial site of the boiler house). The high maneuverability of the CGPUs allows for an increase the flexibility of the IPS of Ukraine. The article presents the main technical and economic indicators of distributed generation with the use of CGPU at existing boiler houses for further national planning of the development of distributed generation during the martial law and post-war reconstruction of Ukraine. The application of CGPU at boiler houses of the DHS of Ukrainian cities has the potential to provide additional distributed generation with a total capacity of up to 2365.7 MW, in particular, 1224.8 MW at 158 boiler houses with a thermal capacity of 100 Gcal/h and more (612 CGPUs with an average unit electric power of 2.0 MW each); 561.9 MW at 409 boiler houses from 20 to 100 Gcal/h (803 CGPUs of 0.7 MW each); 561.9 MW in 2101 boiler houses from 3 to 20 Gcal/h (4136 CGPUs of 0.14 MW each). Under the conditions of 8 hours a day of use of the installed capacity of CGPUs, 567.8 thousand MWh of electricity will be produced every month at the boiler houses of the DHS (taking into account the consumption of the boiler houses for their own needs and release to the network to other consumers) and 136–142 million cubic meters of natural gas will be consumed. According to the average specific cost of modular CGPU (turnkey supply) from 800 to 950 USD/kW of installed electric capacity, capital costs for implementing the CGPUs with a total capacity of 2,365.7 MW will amount to USD 1.89–2.25 billion. Bibl. 31, Fig. 3.

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Protagonist of renewable energy in distributed generation: a review

Cited by 4 publications

References 23 publications

A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy

A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy

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

Energy Potential of Distributed Generation at Powerful Boiler Houses of Ukraine in Conditions of Military Aggression

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