A novel energy management algorithm for reduction of main grid dependence in future smart grids using electric springs

Cherukuri, S. Hari Charan; Saravanan, B.

doi:10.1016/j.seta.2017.03.001

Cited by 14 publications

(5 citation statements)

References 26 publications

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“…In [59], a load control management algorithm is implemented to reduce the power demanded by the electric grid. A group of ES is used for controlling the demand of energy of non‐critical loads.…”

Section: Control Schemes and Their Applications In Epdsmentioning

confidence: 99%

Hardware structures, control strategies, and applications of electric springs: a state‐of‐the‐art review

Tapia-Tinoco

García-Pérez

Granados-Lieberman

et al. 2020

IET Generation, Transmission & Distribution

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Section: Control Schemes and Their Applications In Epdsmentioning

confidence: 99%

Hardware structures, control strategies, and applications of electric springs: a state‐of‐the‐art review

Tapia-Tinoco

García-Pérez

Granados-Lieberman

et al. 2020

IET Generation, Transmission & Distribution

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“…The microgrid is operated in grid connected mode. Under DMO model, the power drawl from the grid is subject to upper and lower limits and the cost of power drawl (t) is laid down by (17). The grid power comes at a dynamic price of (t) per unit energy.…”

Section: Modelling Of Costs Of Energymentioning

confidence: 99%

“…The other energy balancing techniques from demand side are also tested successfully, like load shifting and shedding [12], demand response [13][14][15][16]. Load shedding being a technique used to manage the constant power loads (They are either supplied with rated power or else completely disconnected), using electric springs is a new technique to supply constant energy loads with reduced power [17]. Apart from this quite a large number of models are proposed and tested to represent the uncertainty of energy availability with the RES generators and the loads [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Day-ahead Management of Energy Sources and Storage in Hybrid Microgrid to reduce Uncertainty

Kumar

Saravanan

2019

Gazi University Journal of Science

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“…This method of energy generation eventually causes environmental issues due to the greenhouse gas emission in the process. Integrating the distributed renewable energy resources in small scale or large scale generation is one of the most promising solutions for these issues [1][2][3][4]. In a traditional power grid, some large generators produce energy in bulk and deliver it to many consumers.…”

Section: Introductionmentioning

confidence: 99%

Multi-Stage Bargaining of Smart Grid Energy Trading Based on Cooperative Game Theory

et al. 2023

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Due to global warming and climate change, it is essential to produce power using renewable sources, such as solar, wind, fuel cells, etc. The traditional grid shifts towards the smart grid by infusing digital communication techniques and information technology. As the current power system is shifting towards a smart grid, the utility and prosumers participate in the energy trading process. Due to the distributed nature of the smart grid, providing a fair price among them is becoming a difficult task. The article introduces a model for energy trading in a smart grid by allowing participants to negotiate in multiple stages using a game-theory-based multi-stage Nash Bargaining Solution (NBS). The model’s application of game theory enables the participants to decide on a mutually acceptable price, thereby encouraging the utility, private parties and prosumers (those who are able to generate and consume energy) to participate in the trading process. Since all parties participate in the trading procedure, greenhouse gas emissions are reduced. The proposed model also balances the benefits of consumers and producers in the final agreed fixed price. To demonstrate the efficacy of the proposed work, we compare the analytical results with feed-in-tariff (FiT) techniques in terms of consumers’ energy bills and producers’ revenue. For experimental analysis, 20 participants are considered, where the percentage reduction in the bill of each consumer and the percentage increment of revenue of each producer are compared to FiT. On average, the overall bill of the consumer is reduced by 32.8%, and the producers’ revenue is increased by 64.83% compared to FiT. It has been shown further that the proposed model shows better performance as compared to FiT with an increase in the number of participants. The analysis of carbon emission reduction in the proposed model has been analyzed, where, for 10 participants, the carbon emission reduction is approximately 28.48 kg/kWh, and for 100 participants is 342.397 kg/kWh.

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A novel energy management algorithm for reduction of main grid dependence in future smart grids using electric springs

Cited by 14 publications

References 26 publications

Hardware structures, control strategies, and applications of electric springs: a state‐of‐the‐art review

Hardware structures, control strategies, and applications of electric springs: a state‐of‐the‐art review

Day-ahead Management of Energy Sources and Storage in Hybrid Microgrid to reduce Uncertainty

Multi-Stage Bargaining of Smart Grid Energy Trading Based on Cooperative Game Theory

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