1. An Overview of Fuzzy Inference Algorithms

Omid Feizollahzade

Volume 09, Issue 04 , Autumn 2020, , Pages 165-167

Abstract
  A fuzzy inference system is a mapping of input-to-output space implemented using membership functions and fuzzy rules. Intelligent, control and decision making is one of the most important fuzzy inference algorithms. Mamdani and Sugno fuzzy inference algorithms are examined and their advantages and disadvantages ...  Read More

2. Optimal Placement of Distributed Generation Sources Using Parato Multi-Objective Concepts in Power Distribution Networks

Omid Feizollahzade

Volume 09, Issue 03 , Summer 2020, , Pages 129-134

Abstract
  Connecting distributed generation units with their proper placement in the network will have various effects such as increasing network reliability, reducing losses, improving voltage profiles, reducing transmission and energy distribution costs, and improving power quality parameters, including voltage ...  Read More

3. Investigate and Improve the Reliability of Small Size Wind Energy Conversion Systems Connected to the Network

Omid Feizollahzade

Volume 09, Issue 02 , Spring 2020, , Pages 69-77

Abstract
  With the increasing expansion of electronic power converters in industrial applications, converter reliability.Power electronics have become very important. Electronic converters as intermediaries in systems Power generation from PV and Wind is also important in electrical drives and the aerospace industry. ...  Read More

4. Investigating and Improving the Effect of Distributed Generation on Reliability in Wind Systems by ARMA Method

Omid Feizollahzade

Volume 09, Issue 01 , Winter 2020, , Pages 47-53

Abstract
  The increasing development of the use of new energies has led to the widespread use of power electronics, so that electronic power converters play an important role in extracting power from renewable sources. Power electronics can convert raw energy produced from new energy into the desired power with ...  Read More