Optimization Application in Integrated Transmission and Distribution Operation: Co-Simulation Approach
| Autor: | Innocent Kamwa, Seyed Masoud Mohseni-Bonab, Ali Moeini, Ali Hajebrahimi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
020209 energy Total system power 010103 numerical & computational mathematics 02 engineering and technology Transmission system Co-simulation Grid 01 natural sciences Tap changer law.invention Electric power transmission Electrification Transmission (mechanics) Transmission (telecommunications) law 0202 electrical engineering electronic engineering information engineering Electronic engineering 0101 mathematics Voltage |
| Zdroj: | 2020 IEEE Power & Energy Society General Meeting (PESGM). |
| DOI: | 10.1109/pesgm41954.2020.9281439 |
| Popis: | The load increment as the consequence of electrification of everything in the modern distribution networks, makes it imperative to analyze the interactions between electric power transmission and distribution (T&D) systems. Such a massive electrification may deteriorate voltage profiles and power exchanges, which results consequently in lower grid efficiency. As a low-cost and effective solution, the installed controllable devices for voltage in distribution networks such as under-load tap changer (ULTC) and capacitor banks can be optimized to overcome the aforementioned challenges. This paper proposes a new integrated transmission and distribution co-simulation platform where the aggregated loads in transmission system simulator (i.e. MATLAB) are replaced by a distribution network modeled in distribution system simulator (OpenDSS) through a Python interface. The overall T&D system efficiency is then optimized while maximizing loading margin (LM) and minimizing the total system power losses are contemplated as two objective functions. The proposed approach is applied on a constructed T&D grid with 68K nodes and the results demonstrate that the efficiency of the T&D grid can be improved by optimal setting of the control variables. |
| Databáze: | OpenAIRE |
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