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TSO-DSO Coordination Schemes to Facilitate Distributed Resources Integration

Najibi, F. ORCID: 0000-0002-2866-623X, Apostolopoulou, D. ORCID: 0000-0002-9012-9910 and Alonso, E. ORCID: 0000-0002-3306-695X (2021). TSO-DSO Coordination Schemes to Facilitate Distributed Resources Integration. Sustainability,

Abstract

The incorporation of renewable energy into power systems poses serious challenges to the transmission and distribution power system operators (TSOs and DSOs). To fully leverage these resources there is a need for a new market design with improved coordination between TSOs and DSOs. In This paper we propose two coordination schemes between TSOs and DSOs: one centralised and another decentralised that facilitate the integration of distributed based generation; minimise operational cost; relieve congestion; and promote a sustainable system. In order to achieve this, we approximate the power equations with linearised equations so that the resulting optimal power flows (OPFs) in both the TSO and DSO become convex optimisation problems. In the resulting decentralised scheme, the TSO and DSO collaborate to optimally allocate all resources in the system. In particular, we propose an iterative bi-level optimisation technique where the upper level is the TSO that solves its own OPF and determines the locational marginal prices at substations. We demonstrate numerically that the algorithm converges to a near optimal solution. We study the interaction of TSOs and DSOs and the existence of any conflicting objectives with the centralised scheme. More specifically, we approximate the Pareto front of the multi-objective optimal power flow problem where the entire system, i.e., transmission and distribution systems, is modelled. The proposed ideas are illustrated through a five bus transmission system connected with distribution systems, represented by the IEEE 33 and 69 bus feeders.

Publication Type: Article
Additional Information: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords: TSO-DSO coordination, Pareto front, Bi-level optimisation, Optimal power flow
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TD Environmental technology. Sanitary engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
Date available in CRO: 12 Jul 2021 09:18
Date deposited: 12 July 2021
Date of acceptance: 6 July 2021
URI: https://openaccess.city.ac.uk/id/eprint/26381
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