A Partially Distributed Fixed-Time Economic Dispatch Algorithm with Kron's Modeled Power Transmission Losses

TL;DR

This paper introduces a partially distributed fixed-time economic dispatch algorithm that accounts for Kron's modeled power transmission losses, ensuring optimal power supply within a guaranteed fixed time frame.

Contribution

The paper presents a novel fixed-time distributed algorithm for economic dispatch that incorporates Kron's loss model and guarantees convergence within a fixed duration.

Findings

Algorithm converges to optimal power within fixed time

Transmission losses modeled using Kron's B-loss formula

Simulation confirms theoretical convergence and fixed-time performance

Abstract

A partially distributed economic dispatch algorithm, which renders optimal value in fixed time with the objective of supplying the load requirement as well as the power transmission losses, is proposed in this paper. The transmission losses are modeled using Kron's $\mathcal{B}-$loss formula, under a standard assumption on the values of $\mathcal{B}-$coefficients. The total power supplied by the generators is subjected to time-varying equality constraints due to time-varying nature of the transmission losses. Using Lyapunov and optimization theory, we rigorously prove the convergence of the proposed algorithm and show that the optimal value of power is reached within a fixed-time, whose upper bound dependents on the values of $\mathcal{B}-$coefficients, parameters characterizing the convexity of the cost functions associated with each generator and the interaction topology among them. Finally, an example is simulated to illustrate the theoretical results.