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Advances in Fuzzy System Applied in Distributed Generation

Call for Papers

Many places in the world have no access to electricity directly or indirectly from any energy sources. The main reasons behind this are the geographical diversity and very limited availability of natural resources. Because of the remoteness of nonelectrified population, renewable energy can offer an economically viable means of providing connections to these groups. Many organizations are also promoting the use of decentralized distributed generation units through various schemes. In recent years, production of clean energy (renewable ones) by private investors has been encouraged a lot. To maintain the continuity and reliability of power in such far located areas, renewable energy based generators along with conventional fuel based generators are used with or without grid connection. Such generation units located nearby vicinity of the load center is called distributed generation (DG). DG refers to small-scale power generation that is, usually, connected to the distribution system. These could be reciprocating engine-driven generators, microturbines, cogeneration or combined heat and power, fuel cells, wind turbines, solar panels, and other nondispatchable forms of energy sources. DGs may be installed within the distribution system or at a customer’s site to improve reliability by adding system generation capacity, eliminating requirement of additional system generation, transmission, and distribution capacity, thereby relieving transmission and distribution bottlenecks.

But DG in the power system will change the structure of the grid network and has a great impact on real-time operation and planning for traditional power system. It increases the complexity of controlling, protecting, and maintaining distribution systems in real time. For real-time operation of the system, the fuzzy controller can be used. A Takagi-Sugeno fuzzy logic (TSFL) based controller may adjust its parameters online according to the environment in which it works and may provide a good damping over a wide range of operating conditions. Takagi-Sugeno fuzzy model can be used for online tuning of the controller parameters. On the other hand, these input operating conditions vary dynamically in real-time environment and become off-nominal. This necessitates the use of very fast acting TSFL to determine the off-nominal controller parameters for off-nominal input operating conditions occurring in real time.

The aim of this special issue is to bring the researchers in the area of DG and sustainable generation for development of intelligent systems with improved reliability and efficiency by tuning the controller parameters with the help of advanced fuzzy system techniques. The real-time parameters can also be obtained by using Takagi-Sugeno fuzzy-based system. The scope covers all aspects of theoretical studies and engineering optimization problems related to DG or any hybrid power system model by using fuzzy controller.

Potential topics include but are not limited to the following:

  • Mathematical modelling with fuzzy logic controller
  • Optimization of different parameters of power system model
  • Real-time operation of a complicated power system model by using TSFL model
  • Comparative analysis of the power system model by using different algorithms with fuzzy controller
  • Simplifying the complex power system model using fuzzy logic controller as compared with other conventional controllers

Authors can submit their manuscripts through the Manuscript Tracking System at

Submission DeadlineFriday, 3 August 2018
Publication DateDecember 2018

Papers are published upon acceptance, regardless of the Special Issue publication date.

Lead Guest Editor

  • Abhik Banerjee, National Institute of Technology, Arunachal Pradesh, India

Guest Editors