Identification of Critical Measurement for Distribution Network Based on Observability and Computability
With the extensive integration of distributed energy sources and flexible loads in modern distribution systems,dynamic changes in operational characteristics and topology are induced,and there is an urgent need to improve system observability.Aiming at the problem that the traditional observability analysis method is insufficient to guide the deployment of distribution network measurements when the measurement redundancy is low,the paper proposes a method for identifying critical measurements in the distribution networks based on the observability and computability.Firstly,the numerical observability analysis method is used to calculate the dividing situation of observable islands and the observability indicators under the stock measurement.Then the node information entropy based computability indicators are proposed and obtained through the execution of Monte Carlo simulation.Finally,the identification method of the critical measurement in the distribution network is proposed based on the observability and computability indicators,and the optimal measurement configuration scheme is given.The case analysis shows the validity and feasibility of the proposed method.
distribution networklow redundancyobservabilitycomputabilitystate estimationcritical measurements mining
万方数据
维普
