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Research On Wind Power Penetration And Short-term Economic System Operation With Wind Farms

Posted on:2010-03-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y WuFull Text:PDF
GTID:2132360278462984Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Wind power, a green energy, has become another primary renewable resource of great value in economic utility and industrialization development like hydraulic power at the time when comes with the pressure from energy cirsis and environmental protection. Meanwhile, wind power is an intermittent energy indicating that wind turbines have randomness in their start-stop status and outputs, which might threaten the security of Power System. It is absolute that this influence is more and more severe as an increasing proportion of wind installed capacity into the system.An optimal method for calculating the wind farm penetration is proposed to guarantee the stability of Power System with wind farms. By means of Value at Risk analysis in finacial theory, a mathmatical model of wind power penetration optimization based on risk constraints is established after a sufficient consideration for some uncertain ingredients in wind velocity and power load. A Genetic Algorithm on the basis of Monte Carlo is adopted to solve this optimization problem.A definite impact of wind power injected into the system is an alteration of short-term system operation mode. In this paper, various disadvantageous influences are discussed under the circumstance of Electricity Market, after which a new strategy accouting for risk is used in the conventional short-term economic dispatch model. This strategy considers several uncertainty in load and wind velocity, through which a short-term operation model based on multi-stochastic variables with risk constraints is established in Power System with wind farms.Short-term economic dispatch in this paper is some kind of Unit Commitment Problem (UCP). Unit start-stop and commitment belongs to high-dimentional, non-convex, nonlinear complex numeric optimization problem. After comparing the differences between Dynamic Programming (DP) and Particle Swarm Optimization(PSO), both of which are applied in 5-unit and 10-unit system, we conclude that the Time Complexity of DP is increasing exponentially in pace with system scale. On the other hand, PSO is hard to obtain the global optimization result by reason of its prematurity in treating non-convex hybrid integral programming proble such as UC. Thus, a Differential Evolution algorithm on the basis of Random Optimal Direction Strategy is proposed to solve this problem.Main innovations of this article are as follows:1. By means of Value at Risk analysis in finacial theory, a mathmatical model of wind power penetration optimization based on risk constraints is established after a sufficient consideration for some uncertain ingredients in wind velocity and power load;2. Various disadvantageous influences are discussed under the circumstance of Power Electricity Market, after which a new strategy accouting for risk is used in the conventional short-term economic dispatch model. This strategy considers several uncertainty in load and wind velocity, through which a short-term operation model based on multi-stochastic variables with risk constraints is established in Power System with wind farms.3. A Differential Evolution algorithm on the basis of Radom Optimal Direction Strategy is proposed. Simulations in 5-unit and 10-unit system reveal that DE has a similar character of linear Time Complexity with PSO, and it is able to approach global optimization solution acquired by DP.This subject is a 863 project supported by The Ministry of Science and Technology(2007AA05Z458).
Keywords/Search Tags:Wind power, penetration power, risk, Electricity Market, economic dispatch, Differential Evolution algorithm
PDF Full Text Request
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