An agile optimization algorithm for vitality management along with fusion of sustainable renewable resources in microgrid

Gajula, Viswanath; Rajathy, R.

doi:10.1080/15567036.2019.1604869

Cited by 14 publications

(4 citation statements)

References 20 publications

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“…In Spain, at the end of 2011, wind and solar power contribution to electric power demand was 16% and 3%, respectively, and in Denmark, wind power provided almost 26% of the electric power demand in 2011 [53]. During the last decade, microgrids operating in parallel with the national grids or as autonomous power islands in industrial plants gained popularity [54][55][56][57]. Turkey has very similar geographical specifications to Spain, surrounded by the seas, and there is a high hot plateau in the middle of the land.…”

Section: Future Of Energy Investment In Turkeymentioning

confidence: 99%

How May New Energy Investments Change the Sustainability of the Turkish Industrial Sector?

et al. 2023

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Utilization of renewable energy in the Turkish industrial sector is becoming more important nowadays. The tendency toward renewable energy can be clearly seen with newly planned energy investments. The energy appearance of the Turkish industrial sector for past two decades and ongoing energy projects are discussed in this study with the help of sustainability indicators. The sustainability index is based on advanced exergy analysis and shows the environmental impact of production processes and measures the transformation of energy resources in the Turkish industrial sector. This index was approximately 2.03 in 2000 and it improved to 2.25 in 2008, and then remained constant with minor fluctuations until 2019. Depending on the fulfillment of the continuing fossil, nuclear, and recommended renewable energy investment scenarios, the sustainability index may change to between 1.96 and 2.17 by 2023. None of the ongoing investments will make a major improvement in the sustainability of the industrial sector; therefore, a major shift toward the use of more renewable energy is urgently needed. Establishing solar or wind energy microgrids plants may improve the sustainability indicators drastically, therefore, encouragement of their investments is very important.

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Section: Future Of Energy Investment In Turkeymentioning

confidence: 99%

How May New Energy Investments Change the Sustainability of the Turkish Industrial Sector?

et al. 2023

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“…This research work aims only at the thermostat setpoint control of aggregate electric water heaters, ignoring other appliances and the network operation analysis. A variety of approaches are used to solve the load shifting problem, such as particle swarm optimization-based algorithms [18], reinforcement learning [19], ant lion optimization algorithm [20], linear programming [21], and cuckoo search with grasshopper optimization algorithms [22]. The genetic algorithm (GA) is also considered in several works to solve the load shifting problem [23]- [25].…”

Section: A Literature Reviewmentioning

confidence: 99%

“…Deep Q-network and deep deterministic policy gradient Investigated algorithms from the field of reinforcement learning for model-free load shifting in a cooling network leading to an average of 14% savings in operation cost [20] Energy management of a hybrid renewable energy to meet the energy demand using load shifting Hybrid galactic-swarm optimization and ant-lion optimization algorithm Shifting the load during peak hours by matching the energy generation and load demand providing to consumer savings of 24% and peak reduction of 25% and 80% [21] Instantaneous load shifting for industrial and commercial buildings Linear optimization and nonlinear regression…”

Section: Control-basedmentioning

confidence: 99%

Demand Response Driven by Distribution Network Voltage Limit Violation: A Genetic Algorithm Approach for Load Shifting

et al. 2022

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The residential sector electricity demand has been increasing over the years, leading to an increasing effort of the power network components, namely during the peak demand periods. This demand increasing together with the increasing levels of renewable-based energy generation and the need to ensure the electricity service quality, namely in terms of the voltage profile, is challenging the distribution network operation. Demand response can play an important role in facing these challenges, bringing several benefits, both for the network operation and for the consumer (e.g., increase network components lifetime and consumers bill reduction). The present research work proposes a genetic algorithm-based model to use the consumers' load flexibility with demand response event participation. The proposed method optimally shifts residential loads to enable the consumers' participation in demand response while respecting consumers' preferences and constraints. A realistic low voltage distribution network with 236 buses is used to illustrate the application of the proposed model. The results show considerable energy cost savings for consumers and an improvement in voltage profile.

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“…Other, as [14], considered demand response for controllable residential loads in case of high penetration of renewable sources in microgrids. Gajula and Rajathy developed a model to balance power output from renewable energy sources and the demand [15].…”

Section: Introductionmentioning

confidence: 99%

Energy, Environmental and Economic Performance of an Urban Community Hybrid Distributed Energy System

et al. 2020

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Energy systems face great challenges from both the supply and demand sides. Strong efforts have been devoted to investigate technological solutions aiming at overcoming the problems of fossil fuel depletion and the environmental issues due to the carbon emissions. Hybrid (activated by both renewables and fossil fuels) distributed energy systems can be considered a very effective and promising technology to replace traditional centralized energy systems. As a most peculiar characteristic, they reduce the use of fossil sources and transmission and distribution losses along the main power grid and contribute to electric peak shaving and partial-loads losses reduction. As a direct consequence, the transition from centralized towards hybrid decentralized energy systems leads to a new role for citizens, shifting from a passive energy consumer to active prosumers able to produce energy and distribute energy. Such a complex system needs to be carefully modelled to account for the energy interactions with prosumers, local microgrids and main grids. Thus, the aim of this paper is to investigate the performance of a hybrid distributed energy system serving an urban community and modelled within the framework of agent-based theory. The model is of general validity and estimates (i) the layout of the links along which electricity is distributed among agents in the local microgrid, (ii) electricity exchanged among agents and (iii) electricity exported to the main power grid or imported from it. A scenario analysis has been conducted at varying the distance of connection among prosumers, the installed capacity in the area and the usage of links. The distributed energy system has been compared to a centralized energy system in which the electricity requests of the urban community are satisfied by taking electricity from the main grid. The comparison analysis is carried out from an energy, environmental and economic point of view by evaluating the primary energy saving, avoided carbon dioxide emissions and the simple payback period indices.

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An agile optimization algorithm for vitality management along with fusion of sustainable renewable resources in microgrid

Cited by 14 publications

References 20 publications

How May New Energy Investments Change the Sustainability of the Turkish Industrial Sector?

How May New Energy Investments Change the Sustainability of the Turkish Industrial Sector?

Demand Response Driven by Distribution Network Voltage Limit Violation: A Genetic Algorithm Approach for Load Shifting

Energy, Environmental and Economic Performance of an Urban Community Hybrid Distributed Energy System

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