Coordination of Neighboring Active Distribution Networks under Electricity Price Uncertainty Using Distributed Robust Bi-Level Programming

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10254575" target="_blank" >RIV/61989100:27240/23:10254575 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/9910430" target="_blank" >https://ieeexplore.ieee.org/document/9910430</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSTE.2022.3212004" target="_blank" >10.1109/TSTE.2022.3212004</a>

Result language

angličtina

Original language name

Coordination of Neighboring Active Distribution Networks under Electricity Price Uncertainty Using Distributed Robust Bi-Level Programming

Original language description

Distributed energy resources transform the passive distribution networks into active distribution networks (ADNs). Coordinating the dispatch actions of distributed resources has been studies in the literature, both within an ADN and between an ADN and the transmission system. However, the direct coordination between ADNs interconnected via a physical tie line is a topic boldly under-discussed, despite its practical relevance. In this paper, we consider the problem of coordinating the dispatch actions, including the energy exchange, of two interconnected ADNs, each one integrated with flexible loads (managed by demand response aggregators), energy storage systems, and microturbines (MTs). The bilateral energy trading enables the neighboring ADNs to benefit from the difference in locational marginal prices. The coordination problem is formulated as a robust bi-level program under price uncertainty. At the upper level, the total cost of the ADNs is minimized subject to the uncertainty of electricity market prices and technical constraints of the networks and the resources. At the lower level, the DR aggregators present at each ADN selfishly minimize their own cost. Moreover, the worst case realization of wholesale electricity market prices is considered. The problem is linearized using the Karush-Kuhn-Tucker (KKT) conditions and decomposed using the alternating direction method of multipliers (ADMM). Simulation results verify the convergence behavior of the proposed method and quantify the value of DSO-DSO coordination in the presence of an interconnecting line between the ADNs.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20200 - Electrical engineering, Electronic engineering, Information engineering

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Sustainable Energy

ISSN

1949-3029

e-ISSN

1949-3037

Volume of the periodical

14

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

325-338

UT code for WoS article

000911309200026

EID of the result in the Scopus database

2-s2.0-85141847818