Development of computional intelligence-based algorithms of preventing voltage collapse in power systems with a complex multi-loop structure
| Autor: | Nikita Tomin, Aleksei Zhukov, V. G. Kurbatsky, Daniil Panasetsky, Denis Sidorov, Nikolai Voropai |
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| Rok vydání: | 2016 |
| Předmět: |
Structure (mathematical logic)
Engineering Loop (graph theory) business.industry 020209 energy Collapse (topology) Control engineering 02 engineering and technology Voltage collapse Electric power system Development (topology) Control system 0202 electrical engineering electronic engineering information engineering business MATLAB Algorithm computer computer.programming_language |
| Zdroj: | 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). |
| DOI: | 10.1109/appeec.2016.7827553 |
| Popis: | Majority of recent large-scale blackouts have been caused by voltage instability. This paper proposes new algorithms and implementation principles of an intelligent emergency control based on machine learning models and decentralized adaptive models that can effectively prevent voltage instability before they lead to major blackouts and overall collapse of the system. The proposed algorithms have been implemented using MATLAB and R environments. The feasibility of the approach in a proof-of-concept has been demonstrated on the IEEE 118. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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