Risk Assessment Method For Safe Economic Dispatch Of Power System With Wind Power Integration

With the continuous reduction of global traditional energy and the environmental pollution caused by traditional energy,wind power,as a clean renewable energy,is an important direction of energy strategy at the present stage,so wind power has been widely concerned by the power and energy industry.But the randomness,volatility and uncertainty of wind power will cause an increased capacity interval of power generation.When the wind power and load belong to different area,large-scale wind power integration makes a severe influence to the safe operation of power system,becomes the main factors of affecting wind power permeation,and causes the more complex power grid scheduling.Therefore,it is very important to research the risk assessment method of safe economic dispatching for power system of wind power integrated.The model of wind turbine output is studied for safe economic dispatch with wind power integration,and the distribution characteristics of the forecasted output of wind turbine is analyzed in various situations.Then,the theoretical analysis of the risk assessment method is carried out.The principles and characteristics of the risk assessment method are analyzed.And the risk assessment indicators for quantifying the safe economic dispatch of the power system are analyzed and theoretical model of risk assessment is introduced.We proposed a probability interval optimization model for active distribution network with respect to uncertainties of wind power and electricity price.The proposed model needs neither sampling of different wind power scenarios nor to calculate multi-objective while guaranteeing a quantifiable risk level by a conditional expectation.Then,an electricity price driven active distribution network dispatch has been discussed,and the problems of selecting custom electricity contracts and finding the optimal procurement strategy of meeting contract obligations under spot price uncertainty are considered.Finally,based on an IEEE 30-bus and 69-bus,application examples are presented to demonstrate an optimal trade-off solution between profit and risk of the proposed model.A multi-objective mean-semi-entropy model is proposed for a standalone micro-grid with photovoltaic-wind-battery-diesel generator hybrid system,with the aim of providing a trade-off solution between maximum profits and minimum risk in consideration of photovoltaic and wind uncertainties.Then,the preference-inspired co-evolutionary algorithm is used for the system techno-economic optimization,i.e.,to maximize the profits defined as the mean value of the return and to minimize the risk defined as the semi-entropy simultaneously.Subsequently,the preference ranking organization method is used for decision making to determine the optimal trade-off dispatch solution.Simulation results show that the multi-objective mean-semi-entropy model is well applicable to deal with standalone micro-grid operation,considering the integration of uncertain renewable energy resources.