Economic Dispatch Of Power System Considering Wind Power Correlation And Deep Peak Regulation Of Thermal Power Units

With the depletion of fossil energy such as coal,the problem of energy supply and demand has become increasingly prominent.Wind power as the main representative of the new energy has been widely concerned and developed.However,wind power itself has strong randomness,volatility and other characteristics.Its large-scale grid connection increases the uncertainty of power system operation,and the peak shaving contradiction of the power grid is becoming increasingly serious.Therefore,this paper proposes an economic dispatching strategy for wind power systems that considers the spatio-temporal correlation of wind power and the deep peak shaving of units to improve wind power absorption and alleviate peak shaving contradictions.In this paper,starting from the problem of strong correlation between adjacent wind farms,a multivariate time-series wind speed correlation model is constructed based on the mixed Copula function and continuous Markov chain model,and typical wind speed scenes are clustered based on a large number of simulated scenes generated by sampling,and transforms them into wind power scenarios;Then a two-stage unit commitment dispatching model based on scenario analysis is constructed to obtain the start-stop satisfying all typical scenarios and the dispatching schemes.According to the deviation between the typical scenario and the simulation scenario,the reserve coefficient of wind power rotation is set based on chance constraint theory to improve the reliability and economy of the system.In terms of deep peak shaving,based on the compensation mechanism of the peak regulation ancillary service market,the profit and cost model of thermal power units participating in deep peak regulation is studied,and the relationship between clearing price and unit peak shaving willingness is analyzed.Then,aiming at the minimum total dispatching costs of coal burning,peak shaving additional costs and start-up and shutdown costs,a thermoelectric optimal dispatching model including thermoelectric units,thermal power units,wind power and heat storage devices is established.Finally,combining the correlation of wind power with the deep peak shaving of units,the electric heating system scheduling considering the correlation of wind power and the deep peak shaving of thermal power is constructed.And the effectiveness of the scheduling model in improving the peak shaving potential of the system and promoting the new energy consumption is verified through a example,which provides a solution for the power system to deal with the insufficient peak shaving capacity caused by the large-scale grid connection of wind power.