Equivalent Circuit Programming for Estimating the State of a Power System

TL;DR

This paper introduces an Equivalent Circuit Programming (ECP) method for power system state estimation, leveraging circuit models to improve accuracy and efficiency, especially for large-scale grids with over 80,000 buses.

Contribution

It extends ECP to include both the model and optimality conditions, enhancing state estimation accuracy and scalability for large power systems.

Findings

Effective estimation of large-scale power grid states.

Reduced nonlinearities in the estimation process.

Demonstrated high accuracy and efficiency on 80,000+ bus systems.

Abstract

An Equivalent Circuit Programming (ECP) approach that expresses the optimality conditions of an optimization problem in terms of an equivalent circuit model and uses circuit simulation techniques to solve for an optimal solution, is applied to the state estimation problem for power systems. The benefits of using an equivalent circuit formulation for incorporating both Phasor Measurement Units (PMU) and Remote Terminal Units (RTU), as well as for reducing the nonlinearities of the state estimation problem was previously demonstrated. In this paper we further exploit the circuit nature of the state estimation problem to formulate not only the model but also the optimality conditions as an ECP problem. The efficiency and accuracy of our approach are demonstrated by estimating the states of large-scale power grids (80k+ buses).