Intelligent Control of SIRES Using Neural Networks and Fuzzy Logic  

作　　者：Zeel Maheshwari Rama Ramakumar 

机构地区：[1]School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA

出　　处：《Journal of Power and Energy Engineering》2017年第9期156-171,共16页电力能源（英文）

摘　　要：Development of energy-resources-poor remote rural areas of the world has been discussed by many in the past. Harnessing locally available renewable energy resources as an environmentally friendly option is gaining momentum. Smart Integrated Renewable Energy Systems (SIRES) offer a resilient and economic path to “energize” the area and reach this goal. This paper discusses its intelligent control using neural networks and fuzzy logic.Development of energy-resources-poor remote rural areas of the world has been discussed by many in the past. Harnessing locally available renewable energy resources as an environmentally friendly option is gaining momentum. Smart Integrated Renewable Energy Systems (SIRES) offer a resilient and economic path to “energize” the area and reach this goal. This paper discusses its intelligent control using neural networks and fuzzy logic.

关 键 词：ENERGIZATION Integrated RENEWABLE Energy Neural Network Fuzzy LOGIC Control 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]