Congestion Management in coupled TSO and DSO networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00374604" target="_blank" >RIV/68407700:21230/24:00374604 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.epsr.2024.110145" target="_blank" >https://doi.org/10.1016/j.epsr.2024.110145</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.epsr.2024.110145" target="_blank" >10.1016/j.epsr.2024.110145</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Congestion Management in coupled TSO and DSO networks

Popis výsledku v původním jazyce

This paper proposes a three -stage coordination methodology to optimally manage congestion in day -ahead operation planning for Transmission Systems (TS) and Distribution Systems (DSs). The first stage provides the day -ahead model (DAM) results for the power units in the TS, and Energy Storage Systems (ESSs) and Electric Vehicles (EVs) in the DSs. The second stage applies the DAM results to the modelled TS to reveal any congestion issues. If congestion is depicted the need for congestion management (CM) by the Transmission System Operator (TSO) arises. Thus, the TSO performs an AC Optimal Power Flow (OPF) analysis, under power loss minimization, to provide the redispatch schedule in the TS and quantify the power transactions between TSO and the Distribution System Operators (DSOs). Finally, the DSOs examine if they can deliver these power transactions without congestion in their DSs, by applying AC OPF to minimize power losses. If this is not possible, then a relaxation scheme is applied to these power transactions in order to define the maximum DSO flexibility without congestion in the DS. The proposed methodology is applied to the simulated Greek TS and the results indicate that it can optimally redispatch the available assets with a coordinated interaction between TSO-DSO(s).

Název v anglickém jazyce

Congestion Management in coupled TSO and DSO networks

Popis výsledku anglicky

This paper proposes a three -stage coordination methodology to optimally manage congestion in day -ahead operation planning for Transmission Systems (TS) and Distribution Systems (DSs). The first stage provides the day -ahead model (DAM) results for the power units in the TS, and Energy Storage Systems (ESSs) and Electric Vehicles (EVs) in the DSs. The second stage applies the DAM results to the modelled TS to reveal any congestion issues. If congestion is depicted the need for congestion management (CM) by the Transmission System Operator (TSO) arises. Thus, the TSO performs an AC Optimal Power Flow (OPF) analysis, under power loss minimization, to provide the redispatch schedule in the TS and quantify the power transactions between TSO and the Distribution System Operators (DSOs). Finally, the DSOs examine if they can deliver these power transactions without congestion in their DSs, by applying AC OPF to minimize power losses. If this is not possible, then a relaxation scheme is applied to these power transactions in order to define the maximum DSO flexibility without congestion in the DS. The proposed methodology is applied to the simulated Greek TS and the results indicate that it can optimally redispatch the available assets with a coordinated interaction between TSO-DSO(s).

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Electric Power Systems Research

ISSN

0378-7796

e-ISSN

1873-2046

Svazek periodika

229

Číslo periodika v rámci svazku

110145

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

1-11

Kód UT WoS článku

001169042900001

EID výsledku v databázi Scopus

2-s2.0-85183470885