Fuzzy Logic and Neural Network Approach to Short Term Thermal Unit Commitment
نویسندگان
چکیده
A work on neural network and fuzzy logic based technique for solving the problem of unit commitment in any electric utility is presented in this paper. The effectiveness of economic dispatch is well understood when the objective is to schedule the committed generators to meet the load, maintain voltages and frequency within prescribed tolerances and minimize operating cost without unduly stressing the equipment. The objective of this paper is to commit the units with the AI techniques back propagation neural network and Fuzzy logic without violating the constraints and to compare the results in order to find the best suitable method. A three-unit system is considered as an example and the above mentioned values were computed. KEYWORDSBack propagation, Neural network, Fuzzy logic, Unit commitment, Economic dispatch, Optimization
منابع مشابه
UAV attitude Sensor Fault Detection Based On Fuzzy Logic and by Neural Network Model Identification
Fault detection has always been important in aviation systems to prevent many accidents. This process is possible in different ways. In this paper, we first identify the longitudinal axis plane model using neural network approach. Then based on the obtained model and using fuzzy logic, the aircraft status sensor fault detection unit was designed. The simulation results show that the fault detec...
متن کاملShort-Term Load Forecasting in Power Systems Using Adaptive Fuzzy Critic Based Neural Network
Load forecasting constitutes an important tool for efficient planning and operation of power systems and its significance has been intensifying particularly, because of the recent movement towards open energy markets and the need to assure high standards on reliability. Accurate load forecasting is of great importance for power system operation. It is the basis of economic dispatch, hydrotherma...
متن کاملImpact of Structural Components of Market on the Markup Level Based on Radial Basis Neural Network and Fuzzy Logic
This paper aims to evaluate the impact of several indices of market structure including entry to barrier, economies of scale and concentration degree on 140 active industries using the digit. Accordingly, we apply three methods including cost disadvantages ratio ( ), Herfindahl–Hirschman concentration index ( ) and Comanor and Willson criterion in order to assess the economies of scale and usin...
متن کاملShort-term Price-based Unit Commitment of Hydrothermal GenCos: A Pre-emptive Goal Programming Approach
The solution of single-objective unit commitment problems for generation companies participating in deregulated markets may not directly be implementable mainly because of neglecting some conflicting secondary objectives arising from policy-making at internal/external environment. Benefiting an efficient multi-objective approach to improve the applicability of price-based unit commitment soluti...
متن کاملA Comparative Study of the Neural Network, Fuzzy Logic, and Nero-fuzzy Systems in Seismic Reservoir Characterization: An Example from Arab (Surmeh) Reservoir as an Iranian Gas Field, Persian Gulf Basin
Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major steps. In the first step, the survey compared different intelligent techniques to discover ...
متن کامل