Fuzzy Switching Control Of The Complete Oil Cycle Of Shiraz Solar Power Plant
نویسندگان
چکیده
In this paper, fuzzy switching control of the complete oil cycle of Shiraz solar power plant is presented. So far, in the literature, only modeling and control of the collectors’ field of a solar power plant, which is a part of the complete oil cycle, have been studied. According to various environmental conditions, input disturbances and design constraints in some components, changes of the oil cycle working loops become necessary which cause switching in the continuous system. To control such a complex system, two controllers are required: 1) a continuous controller to hold outlet oil temperature of the collectors’ field at its desired level and 2) a switching (discrete) controller to determine the suitable loop to be activated. In this paper, a new approach for decision making on switching actions among various loops of an oil cycle is presented. Fuzzy switching is used to reasonably reduce chattering phenomena which may be caused by conditional switching. For the complete controller structure of the system, a combination of continuous and switching controllers is used: Fuzzy Logic + Fuzzy Switching. Simulation results show that the applied control system can manage the oil cycle in different situations especially in the presence of large step disturbances (moving clouds) and white noise. By applying such a control system, performance of the oil cycle is improved and a more uniform power generation during a day is achieved.
منابع مشابه
Thermodynamic modeling and comprehensive off-design performance analysis of a real integrated solar combined cycle power plant
In this paper thermodynamic modeling and comprehensive performance analysis of a real integrated solar combined cycle (ISCC) power plant are performed. Performance of the plant cycle is assessed in off-design condition and in two operation modes of power-boosting and fuel-saving. Such an approach has not been considered for an ISCC plant in the previous studies. Under studied ISCC which is loca...
متن کاملA New Implementation of Maximum Power Point Tracking Based on Fuzzy Logic Algorithm for Solar Photovoltaic System
In this paper, we present a modeling and implementation of new control schemes for an isolated photovoltaic (PV) using a fuzzy logic controller (FLC). The PV system is connected to a load through a DC-DC boost converter. The FLC controller provides the appropriate duty cycle (D) to the DC-DC converter for the PV system to generate maximum power. Using FLC controller block in MATLABTM/Simulink e...
متن کاملA New Recurrent Fuzzy Neural Network Controller Design for Speed and Exhaust Temperature of a Gas Turbine Power Plant
In this paper, a recurrent fuzzy-neural network (RFNN) controller with neural network identifier in direct control model is designed to control the speed and exhaust temperature of the gas turbine in a combined cycle power plant. Since the turbine operation in combined cycle unit is considered, speed and exhaust temperature of the gas turbine should be simultaneously controlled by fuel command ...
متن کاملGreen Supplier Evaluation by Using an Integrated Fuzzy AHP- VIKOR Approach
In the previous decade, fossil energy resources shortage and environmental challenges such as air and water pollution, global warming, and greenhouse-gas emissions, etc. have increased environmental concerns considerably. Since, one of the most practical and useful solutions to decrease environmental pollutants is to deploy green purchasing and clean energies by organizations or even government...
متن کاملAdaptive Fuzzy Dynamic Sliding Mode Control of Nonlinear Systems
Two phenomena can produce chattering: switching of input control signal and the large amplitude of this switching (switching gain). To remove the switching of input control signal, dynamic sliding mode control (DSMC) is used. In DSMC switching is removed due to the integrator which is placed before the plant. However, in DSMC the augmented system (system plus the integrator) is one dimension bi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Intelligent Automation & Soft Computing
دوره 15 شماره
صفحات -
تاریخ انتشار 2009