Chinese National Condition Based Power Dispatching Optimization in Microgrids
| Autor: | Jian-Ming Wang, Xiaodong Yuan, Yu-Ling He, Liang Chen, Lu-Jia Zhao, Gang Chen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Battery (electricity)
Article Subject Computer science 020209 energy New energy Particle swarm optimization Thermal power station 02 engineering and technology Grid lcsh:QA75.5-76.95 Computer Science Applications Power (physics) Reliability engineering Work (electrical) lcsh:TA1-2040 Modeling and Simulation 0202 electrical engineering electronic engineering information engineering Microgrid lcsh:Electronic computers. Computer science Electrical and Electronic Engineering lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | Journal of Control Science and Engineering, Vol 2018 (2018) |
| ISSN: | 1687-5257 1687-5249 |
| Popis: | This paper proposed a study on the power dispatching optimization in the microgrid aiming at Chinese national condition based on PSO algorithm. The whole work is on the basis of the weighted factor variation of the objective function due to different weather conditions. Three cases including the good contamination-diffusing weather condition, the smog weather condition, and the normal condition are considered, respectively. In the case of smog weather, the new energy generation and the battery system will be all out to use as less power as possible from the primary grid so that the pollution produced by coal consumption in the thermal power plants can be upmost reduced. However, in the case of perfect contamination-diffusing weather, the battery is not used to reserve its lifetime, while a large amount of exchanged power from the primary grid is used to obtain a most economic-efficient effect. In normal condition, the power dispatching is performed in a most balanced way considering not only the cost but also the environmental management. The case study in Suzhou Industrial Part confirms the effectiveness of the proposed method in this paper. |
| Databáze: | OpenAIRE |
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