Implementation of Fuzzy Sugeno Method for Power Efficiency

Energy is one of the basic needs for human being. One of the most vital energy sources is electricity. Electricity is a type of energy that sustains survival of human being, more particularly in industrial sector. Efficiency in industrial sector refers to a state where electricity is used to as little as possible to produce the same amount of product. The case study was conducted in marine commodity sector, anchovy and jellyfish supplier. The supplier was classified as SME that installed 33,000 VA electric powers (B2). The data were in the form of energy consumption intensity (ECI) and specific energy consumption (SEC) to determine the energy efficiency level. The objective of the study was to classify the efficiency level of electricity consumption using Sugeno Fuzzy method. The findings of the study were 1) the average ECI between January, 2016 and April, 2017 was 1,949 kWh/m2; it was classified as efficient; 2) the average SEC at the same period was 126,108 kWh/ton; it was classified as excessive. Sugeno Fuzzy logic was implemented to determine efficiency level of electricity in this company. Based on the average ECI and SEC, the electricity consumption of the company was categorized as excessive with FIS Sugeno output of 0.803

Damping of low-frequency oscillations using Takagi-Sugeno Fuzzy stabilizer in real-time

A new methodology for the implementation of a power system model for damping low-frequency oscillations in field programmable gate array (FPGA)-based real-time simulator is proposed. The continuous form of the model is converted to discrete-time domain model, and then reduced to block diagrams involving the delay operators and gains for the implementation in the FPGA. The hardware implementation of a power system stabilizer (PSS) to control the system is also introduced using FPGA. The real-time implementation of the proposed approach in an FPGA is described. To verify the effectiveness of the proposed FPGA-based simulator, a single machine infinite bus system (SMIB) is tested with the stabilizer under different operating conditions. Results show the capability of implementing the power system with the stabilizer in an FPGA. Additionally, very short time and constant computation time per simulation time-step are established