FLC Technique in Smart Grid for Demand Side Management

FLC Technique in Smart Grid for Demand Side Management

Kitty Tripathi (Babu Banarsi Das Northern India Institute of Technology, India) and Sarika Shrivastava (Ashoka Institute of Technology and Management, Varanasi, India)
Copyright: © 2020 |Pages: 15
DOI: 10.4018/978-1-7998-2718-4.ch006

Abstract

The chapter discusses the general characteristics of smart grid, which combines different state-of-the-art technologies intended for operative power distribution when the generation is decentralized. Fault's existence in the power grid is entirely unanticipated. Fuzzy logic is the computational intelligence technique that integrates the knowledge base of experts that is either human or system using the qualitative expression. This technique can successfully be applied for end-user who is a prosumer and aims for low electricity bill as well as provide intelligent decision-making skill in the agents of the multi-agent system. Fuzzy inference system can be efficiently used in such systems due to its capability to deal with imprecision, incomplete data, and its strong knowledge base.
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Background

From the global outlook, major factors behind smart grid are capacity, effectiveness, consistency, sustainability as well as the customer assignation. The greater capacity electricity grid is required in the utmost every developing country. Next to it, the electric vehicles will correspondingly claim a few changes on the grid within the developed countries. Electricity yield can be augmented by enhancing the effectiveness of the grid system. Next to it, the virtual capacity might also be increased by means of peak shredding practices (Zhuo, Gao, & Li, 2008).

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