Multiobjective optimization in congestion management considering technical and economic aspects
| Autor: | Tobias Hennig, Lothar Lower, David Sebastian Stock, Denis Mende, Lutz Hofmann |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Engineering Optimization problem business.industry 020209 energy 02 engineering and technology Congestion management AC power Multi-objective optimization Power (physics) Set (abstract data type) 0202 electrical engineering electronic engineering information engineering Normalization (sociology) business Network model |
| Zdroj: | 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). |
| DOI: | 10.1109/appeec.2016.7779711 |
| Popis: | The article at hand gives an overview of a newly developed method and tool to flexibly and efficiently remediate different kinds of congestion in the power grid. The presented approach consists of three main steps: Building the network model, identifying the technical factors influencing the congestion, formulating and solving an optimization problem to remediate the congestion by changing the active power set points of power plants. Within the optimization approaches for technically and economically optimized redispatch are presented. The paper focuses on the development of a solution considering both, technical and economic, objectives to find an optimized solution. The problem formulation is explained, implemented and finally tested in a study case using the well-known IEEE 39 bus system. Results expose the special characteristics of the different obtained optimizations. Especially the implemented normalization approach combining technical and economic aspects shows promising results with low costs and a low amount of redispatched power as well. |
| Databáze: | OpenAIRE |
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