A multi-stage hybrid artificial intelligence based optimal solution for energy storage integrated mixed generation unit commitment problem
About: This article is published in Journal of Intelligent and Fuzzy Systems.The article was published on 2018-01-01. It has received 4 citations till now. The article focuses on the topics: Energy storage.
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TL;DR: The Ant Colony Optimization (ACO) algorithm is used for mitigating contingencies by means of reconfiguration in an electrical distribution network and the results are validated on the IEEE 30-bus system and show that the algorithm is able to better reduce real power losses.
Abstract: This special issue is a selected collection of papers submitted to the First International Conference on Signals, Machines and Automation (SIGMA-2018), February 23–25, 2018, New Delhi, India. These papers have been reviewed and accepted for presentation at the conference and for publication in the Journal of Intelligent & Fuzzy Systems (JIFS). In this special issue there are 49 papers covering a wide range of topics in the area of intelligent systems and their application in various domains. The International Conference SIGMA-2018 aims to provide a common platform to the researchers in related fields to explore and discuss various aspects of artificial intelligence applications and advances in soft computing techniques. The Conference will provide excellent opportunities for the presentation of interesting new research results and discussion about them, leading to knowledge transfer and the generation of new ideas. Among the 49 papers in this special issue, there are twelve papers addressing the applications of intelligent tools and techniques in the operation and control of power systems. In [1], the Ant Colony Optimization (ACO) algorithm is used for mitigating contingencies by means of reconfiguration in an electrical distribution network. The results are validated on the IEEE 30-bus system and show that the algorithm is able to better reduce real power losses
64 citations
24 Apr 2019
TL;DR: Game theory, for the most prevalent Renewable integrated Grid, has been applied to demonstrate its techno-economic evaluating strategy and the aim is to illustrate the optimal payoff according to their different actions of Cooperation and Noncooperation in the game.
Abstract: The renewable energy penetration in power system has perpetrated new dimensions in the existent electricity market which warrants its restructuring. Continuous research is on regarding formulations of polices to meet the long-term techno-economical electricity management challenges in this heuristic and diversified scenario. The advancement and development in this new era revolve mainly around the operational complexity of Unit Commitment and the dispatch related economic issues. In this evolution of power systems is studied as a conventional Grid, a Micro Grid and a Renewable integrated Grid. Game theory, for the most prevalent Renewable integrated Grid, has been applied to demonstrate its techno-economic evaluating strategy. The major concern of the modern Smart Grid system is to achieve a "No-regret" solution under self-enforcement conditions. The game theory, considering a Micro Gird and a Conventional Grid as the two players, has been performed with the help of game theory matrix. The aim is to illustrate the optimal payoff according to their different actions of Cooperation and Noncooperation in the game.
4 citations
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...86 economic load dispatch, optimal power flow, and unit commitment [29]....
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References
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TL;DR: An overview of the current and future energy storage technologies used for electric power applications is carried out in this paper, where a comparison between the various technologies is presented in terms of the most important technological characteristics of each technology.
Abstract: In today's world, there is a continuous global need for more energy which, at the same time, has to be cleaner than the energy produced from the traditional generation technologies. This need has facilitated the increasing penetration of distributed generation (DG) technologies and primarily of renewable energy sources (RES). The extensive use of such energy sources in today's electricity networks can indisputably minimize the threat of global warming and climate change. However, the power output of these energy sources is not as reliable and as easy to adjust to changing demand cycles as the output from the traditional power sources. This disadvantage can only be effectively overcome by the storing of the excess power produced by DG-RES. Therefore, in order for these new sources to become completely reliable as primary sources of energy, energy storage is a crucial factor. In this work, an overview of the current and future energy storage technologies used for electric power applications is carried out. Most of the technologies are in use today while others are still under intensive research and development. A comparison between the various technologies is presented in terms of the most important technological characteristics of each technology. The comparison shows that each storage technology is different in terms of its ideal network application environment and energy storage scale. This means that in order to achieve optimum results, the unique network environment and the specifications of the storage device have to be studied thoroughly, before a decision for the ideal storage technology to be selected is taken.
1,265 citations
TL;DR: In this paper, the authors assessed the non-combustion based renewable electricity generation technologies against a range of sustainability indicators and using data obtained from the literature, they found that wind power is the most sustainable, followed by hydropower, photovoltaic and then geothermal.
Abstract: The non-combustion based renewable electricity generation technologies were assessed against a range of sustainability indicators and using data obtained from the literature. The indicators used to assess each technology were price of generated electricity, greenhouse gas emissions during full life cycle of the technology, availability of renewable sources, efficiency of energy conversion, land requirements, water consumption and social impacts. The cost of electricity, greenhouse gas emissions and the efficiency of electricity generation were found to have a very wide range for each technology, mainly due to variations in technological options as well as geographical dependence of each renewable energy source. The social impacts were assessed qualitatively based on the major individual impacts discussed in literature. Renewable energy technologies were then ranked against each indicator assuming that indicators have equal importance for sustainable development. It was found that wind power is the most sustainable, followed by hydropower, photovoltaic and then geothermal. Wind power was identified with the lowest relative greenhouse gas emissions, the least water consumption demands and with the most favourable social impacts comparing to other technologies, but requires larger land and has high relative capital costs.
896 citations
TL;DR: In this article, the state of the art of the energy storage systems for wind power integration support from different aspects is reviewed, including the selection of the ESS type, and the optimal sizing and siting of an ESS.
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TL;DR: With the incorporated HSWSO model, the sizing optimization of hybrid solar-wind power generation systems can be achieved technically and economically according to the system reliability requirements.
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TL;DR: In this paper, the potential of lithium ion (Li-ion) batteries to be the major energy storage in off-grid renewable energy is presented, and the authors present the electric vehicle sector as the driving force of Li-ion batteries in renewable energies.
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