Robust Fuzzy Scheduling For Power Systems Considering Bilateral Uncertainties

With the large-scale grid connection of wind power,the uncertainty of wind power brings great challenges to the traditional power system scheduling model.The introduction of demand response will not only improve the capacity of wind power consumption,but also fully mobilize the initiative of users,so as to achieve bilateral dispatching of power generation.However,demand response is uncertain due to factors such as scheduling willingness and external environment.Therefore,considering the bilateral uncertainty of power generation is more practical.Based on this,a robust fuzzy economic dispatch model of power system considering the two side uncertainties of power generation is established and verified by simulation.First,a robust fuzzy mathematical model is established based on fuzzy theory and robust theory,and its deterministic transformation form is derived.In this mathematical model,parameters are fuzzy and robust,which can consider both the double uncertainty of parameters or the uncertainty of different parameters.Therefore,on the basis of considering the fuzziness and randomness of wind power,a robust fuzzy economic scheduling model of power system with wind power is established,and the classical IEEE10 system and a wind farm are used to simulate the simulation.The convergence performance of the robust fuzzy optimization method is verified by the comparison of the model,and the confidence level is also based on the confidence level.The actual system risk index can be obtained.Secondly,in order to promote the wind power dissipation and realize the bilateral interconnected dispatching between the user side and the generation side,the demand response is introduced in the robust fuzzy mathematical model of the power system with wind power.After the correction of the target function and the constraint conditions,a multi-objective economic dispatching model of the power system considering the demand response to participate in the wind power dissipation is established.Type.The positive impact of demand response on load curve and wind power output is analyzed in the example simulation,and the trade-off ability of multi targets in low carbon and economy is verified.Finally,considering the bilateral uncertainty of power generation and the demand response mechanism,the uncertainty model and interruptible load model of TOU price are established.The fuzzy theory is used to fit the uncertain load under the time-sharing price,and the uncertain set of wind power is constructed by the robust theory,and the robust fuzzy multi-objective scheduling model of the power system is established,in which the multi targets include the low carbon target of carbon transaction cost and the economic target with the least comprehensive economic cost.The multi-objective bacterial colony chemotaxis algorithm is improved by using internal point method and multi constraint treatment strategy.The algorithm is used to solve the model and obtain the optimal solution of the objective function.The feasibility and superiority of the proposed model is verified by simulation example.