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Credibility Theory Based Research on Unit Commitment with Large Scale Wind Farm

Author: SunCuiYing
Tutor: AiXin
School: North China Electric Power University (Beijing)
Course: Proceedings of the
Keywords: Wind farm UNIT Credibility Theory Fuzzy Simulation Particle swarm optimization
CLC: TM614
Type: Master's thesis
Year: 2011
Downloads: 290
Quote: 4
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Abstract


Currently , wind power has become one of the main methods to solve the increasingly severe worldwide environmental and energy issues , whether it is centralized or decentralized grid-connected wind farm size increasing , but the uncertainty due to wind power , with the wind farm unit commitment problem is no longer a certainty in a conventional sense , economical and reliable solution difficult to obtain using conventional methods . Taking into account the current forecast level and the prediction error of wind power can not be ignored , the introduction of the recently completed 2004 basic mathematics branch of mathematics - the credibility theory , considering the uncertainty of the wind power output from the point of view of fuzzy mathematics , the various time intervals wind power output with trapezoidal fuzzy number , the trusted theory to obtain the distribution function of the credibility of the wind power output of each period , the establishment of the wind farm based on chance constrained programming containing a mathematical model of the power system unit commitment problem , and the use of available evaluate the reliability indicators in the form of constraints with fuzzy numbers . Application of fuzzy simulation based particle swarm algorithm for solving optimization sub- problem is solved , inside and outside the unit commitment problem is divided into two layers , the outer layer optimized for the start and stop of the unit status and the inner economic distribution of load . 10 machine system operator from the point of view of large - scale wind power access , verify the theory and algorithms to solve the power system unit commitment problem with wind farms is effective for the study of the wind farm power system scheduling , running the optimization problem provides a new method .

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Variety of power generation > Wind power
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