Generalized Master-Slave-Splitting Method and Application to Transmission-Distribution Coordinated Energy Management

TL;DR

This paper introduces a generalized master-slave-splitting method for transmission-distribution energy management, enabling effective distributed computation across various central functions and addressing DER-related issues.

Contribution

A novel generalized master-slave-splitting method based on a universal transmission-distribution coordination model, with proven optimality and faster convergence, applicable to multiple TDCEM functions.

Findings

Successfully solves power flow, contingency analysis, and other functions

Addresses over-voltage and security assessment issues caused by DERs

Demonstrates convergence and effectiveness of the proposed method

Abstract

Transmission-Distribution coordinated energy management (TDCEM) is recognized as a promising solution to the challenge of high DER penetration, but there is a lack of a distributed computation method that universally and effectively works for the TDCEM. To bridge this gap, a generalized mas-ter-slave-splitting (G-MSS) method is presented in this paper. This method is based on a general-purpose transmis-sion-distribution coordination model called G-TDCM, which thus enables the G-MSS to be applicable to most of the central functions of the TDCEM. In this G-MSS method, a basic heter-ogenous decomposition (HGD) algorithm is first derived from the HGD of the coupling constraints in the optimality conditions of the G-TDCM. Its optimality and convergence properties are then proved. Further, inspired by the conditions for conver-gence, a modified HGD algorithm that utilizes the subsystem's response function is developed and thus converges faster. The distributed G-MSS method is then demonstrated to successfully solve a series of central functions, e.g. power flow, contingency analysis, voltage stability assessment, economic dispatch and optimal power flow, of the TDCEM. The severe issues of over-voltage and erroneous assessment of the system security that are caused by DERs are thus resolved by the G-MSS method with modest computation cost.