Rotating Reserve Optimization Of Power Distribution Network With Uncertainty Based On Source-load Coordination

Electric energy is the main energy supply method,and the stable operation of the power system plays an important role in ensuring the safety and stability of production and life and reducing economic losses.Providing a reserve capacity that meets the requirements is an indispensable means to ensure the stable operation of the power system.As the main method of power system backup,the selection of spinning reserve capacity is very important.With the continuous access of wind power to distribution network and the advancement of electric power market mechanism reform,more uncertainties have been brought about on both sides of the source and load of the power distribution system,and higher requirements have been placed on the spinning reserve of the power system.At the same time,the reform of the electricity market also makes more demand response loads participate in the market scheduling.This subject starts from the perspective of source-load coordination,and introduces interruptible loads and reducible loads into the optimal configuration of the system’s spinning reserve,taking into account the economy and reliability of the system,the spinning reserve optimization of distribution network with uncertainty is studied.Firstly,the wind power uncertainty and load fluctuation uncertainty are modeled respectively,and the Monte Carlo method is used to simulate and sample the load and wind power forecast uncertainty models.Considering wind power uncertainty and load fluctuation uncertainty comprehensively,a spinning reserve opportunity constraint model is established to ensure the reliability of the system.Considering the coordination role of demand response as a special rotating reserve resource and the rotating reserve resource of the generator-side unit,a system cost optimization model including demand response compensation cost and unit operating cost is established to ensure the economy of the system.Synthesizing spinning reserve opportunity constraints and cost optimization models,a demand response-based spinning reserve opportunity constraint optimization model for uncertain distribution networks with source and load is established.Secondly,considering that opportunity-constrained programming lacks a clear description of system security issues,it is impossible to measure the cost of risks in the operation of distribution network.The conditional value-at-risk theory is introduced,and the conditional value-at-risk is used to quantitatively describe the security cost of the power grid.On the basis of the constraints of the spinning reserve opportunity,the value-at-risk cost of the system wind curtailment condition and the loss-of-load conditional value-at-risk cost are further introduced,and the conditional value-at-risk cost is established.The multi-objective optimization model of spinning reserve of distribution network with source-load uncertainties enables the system to coordinate the total system cost and the system conditional risk cost,and optimize the configuration of spinning reserve with the minimum operating cost under a certain conditional risk cost.Finally,in the simulation verification,the particle swarm algorithm is used to solve the rotatory standby opportunity-constrained optimization model of distribution network with uncertain source and load,and the multi-objective particle swarm algorithm is used to solve the spinning reserve optimization model that introduces the conditional value at risk.The simulation results under different wind power and load forecasting errors show that the proposed method can carry out the rotating standby configuration at a high confidence level,and the introduction of conditional value-at-risk further ensures the quantitative assessment of risk.