Utility Dependency Reduction by Multi-Agent Participation in Smart Grid

Q3 Engineering
Sonvir Singh
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引用次数: 1

Abstract

The Electric vehicle has a battery to store electric energy in the form of chemical energy as the energy stored in invertor’s batteries. These sources are used as a self-supporting energy source at the time of outage of electricity due to a fault, equipment’s failure and other not working conditions if they have stored energy. In this paper, a multi-agent system is consisting of microgrid agent, home agent, control distribution agent, and supply source. The supply source agents include those agents who control the storage; it also called as energy storage agents which are controlled by house agents. If the utility is not providing the demand energy to the consumers due to fault or some other reasons in this case stored energy in batteries and other resources like a solar panel, small wind plant of the microgrid and provide the energy within the microgrid and outside the microgrid. In this paper main focus is given on the Priority index, cost optimization, and load optimization algorithms. By doing this it helps in providing the energy during the outage at the lower cost and dependency on the main grid may be reduced. It also boosts the principle of bidirectional flow of power which make consumer as a supplier also. This will reduce the electric bill charges and increases the reliability of supply electricity.
智能电网中多Agent参与减少效用依赖
电动汽车有一个电池,以化学能的形式存储电能,作为存储在逆变器电池中的能量。这些电源在由于故障、设备故障和其他不工作条件而停电时用作自给能源,如果它们储存了能量。本文提出了一个由微电网代理、家庭代理、控制分配代理和供电源组成的多智能体系统。供应源代理包括控制存储的代理;它也被称为能量储存剂由房屋代理人控制。如果公用事业公司由于故障或其他一些原因而没有向消费者提供所需的能源,在这种情况下,存储在电池和其他资源中的能量,如太阳能电池板,微电网的小型风力发电厂,并在微电网内外提供能量。本文主要讨论了优先级索引、成本优化和负载优化算法。通过这样做,它有助于在停电期间以较低的成本提供能源,并可能减少对主电网的依赖。它还促进了电力双向流动的原则,使消费者也成为供给者。这将减少电费,提高供电的可靠性。
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来源期刊
Advances in Systems Science and Applications
Advances in Systems Science and Applications Engineering-Engineering (all)
CiteScore
1.20
自引率
0.00%
发文量
0
期刊介绍: Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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