Gradient-Based Multi-Area Distribution System State Estimation

Abstract

The increasing distributed and renewable energy resources and controllable devices in distribution systems make fast distribution system state estimation (DSSE) crucial in system monitoring and control. We consider a large multi-phase distribution system and formulate DSSE as a weighted least squares (WLS) problem. We divide the large distribution system into smaller areas of subtree structure, and by jointly exploring the linearized power flow model and the network topology, we propose a gradient-based multi-area algorithm to exactly and efficiently solve the WLS problem. The proposed algorithm enables distributed and parallel computation of the state estimation problem without compromising any performance. Numerical results on a 4,521-node test feeder show that the designed algorithm features fast convergence and accurate estimation results. Comparison with traditional Gauss-Newton method shows that the proposed method has much better performance in distribution systems with a limited amount of reliable measurement. The real-time implementation of the algorithm tracks time-varying system states with high accuracy.

References in corpus (4)

• A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems
• Accelerated Voltage Regulation in Multi-Phase Distribution Networks Based on Hierarchical Distributed Algorithm
• Online Stochastic Optimization of Networked Distributed Energy Resources
• Matrix Completion for Low-Observability Voltage Estimation

Cited by in corpus (4)

• Optimal Power Flow with State Estimation In the Loop for Distribution Networks
• Multi-Level Optimal Power Flow Solver in Large Distribution Networks
• Matrix Completion Using Alternating Minimization for Distribution System State Estimation
• Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback