Design of Optimal Energy Management System in a Residential Microgrid Based on Smart Control

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES Smart Science Pub Date : 2021-07-18 DOI:10.1080/23080477.2021.1949882
Masoud Dashtdar, M. Bajaj, S. M. S. Hosseinimoghadam
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引用次数: 34

Abstract

ABSTRACT Optimal use of microgrids for efficient and economic management of energy resources is of special importance. At the residential level, energy costs can be reduced by using the concepts of price-based intelligent control (response to demand). In this paper, an energy management problem that proposed to decrease the cost of operating a residential microgrid with Micro-CHP equipped by a smart meter. The problem objective function formulation in the form of short-term production planning is based on the total cost of Micro-CHP gas consumption and auxiliary burner and the cost of electricity purchased from the network or sell to it in 24 hours. The aim is to present the ideal energy management strategy of the resources available based on smart control, and due to the non-linear problem, GAMS software by Mixed Integer Non-Linear Programming (MINLP) was used to solve the problem. Finally, the proposed method is implemented on the sample microgrid and the results are compared with Heat-Led Control, the effect of battery on microgrid participation in load response programs was demonstrated. Also, the effect of different tariffs of the market price on the cost of microgrid operation and how to exchange with the grid in different cases are evaluated that results showed the proper performance of the proposed method. GRAPHICAL ABSTRACT
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基于智能控制的住宅微电网最优能源管理系统设计
微电网的优化利用对能源资源进行高效、经济的管理具有特殊的重要性。在住宅层面,可以通过使用基于价格的智能控制(对需求的响应)概念来降低能源成本。在本文中,提出了一个能源管理问题,该问题旨在降低配备智能电表的微型热电联产住宅微电网的运营成本。短期生产计划形式的问题目标函数公式是基于微型热电联产用气和辅助燃烧器的总成本以及24小时内从网络购买或出售的电力成本。目的是提出基于智能控制的可用资源的理想能量管理策略,并针对非线性问题,使用混合整数非线性规划(MINLP)的GAMS软件来解决该问题。最后,在样本微电网上实现了所提出的方法,并将结果与Heat Led Control进行了比较,证明了电池对微电网参与负载响应程序的影响。此外,还评估了市场价格的不同电价对微电网运营成本的影响,以及在不同情况下如何与电网交换,结果表明了所提出方法的正确性能。图形摘要
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来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
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