Research Of Wind Farm Reactive Power Bi-level Planning Based On Clustering Scenario Analysis

With the rapid development of wind power generation,the randomness and fluctuation of wind power have brought reactive power and voltage problems to the wind farm,and also have influenced the safety and stability of power system.As the operational requirement and assessment of wind farm are gradually strengthened,it is necessary to arrange reactive power compensation to ensure the stability of reactive power and voltage in the wind farm.In practical engineering,it is usual to use both capacity bank and dynamic reactive power compensation.Further study will be needed to optimize the configuration of these reactive power compensations,considering economy and their effects.This paper introduces the reactive power devices in the wind farm,and analyzes their performance of reactive power regulation.By an actual example,the wind farm characteristics of reactive power and voltage are analyzed to show the necessity of reactive power compensation configuration.In the issue of scenarios for re active power planning,the hierarchical clustering method based on dynamic time w arping technology is used to deal with average wind power curves,and representative scenarios and their probabilities can be obtained,which will describe the overall fluctuation of wind power.Besides,the local fluctuation value is proposed and its probability distribution can describe the local fluctuation of wind power.The configuration of reactive power compensation needs to satisfy the operational reactive power demand,so a two-stage optimization model is developed considering different time scale between discrete devices and dynamic devices,and it is solved by genetic algorithm and primal-dual interior point method.On this basis,combined with the planning scenarios,the bi-level reactive power planning model is built to optimize the arrangement of reactive power compensation,which balances economy and operational reliability.Finally,the simulation results of an actual wind farm validate the feasibility and effectiveness of the strategy.