A two-level hierarchical discrete-device control method for power networks with integrated wind farms
| Autor: | Hongbin Sun, Lin Jia, Qinglai Guo, Boming Zhang, Fengda Xu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Schedule
TK1001-1841 Computer science 020209 energy Control (management) Energy Engineering and Power Technology TJ807-830 02 engineering and technology Renewable energy sources Course (navigation) Electric power system Reliability (semiconductor) Production of electric energy or power. Powerplants. Central stations Shunt capacitor/reactor Wind-power integration 0202 electrical engineering electronic engineering information engineering Model predictive control On-load tap changer Wind power Automatic voltage control Renewable Energy Sustainability and the Environment business.industry 020208 electrical & electronic engineering Transmission system Power (physics) Reliability engineering business Two-stage robust optimization |
| Zdroj: | Journal of Modern Power Systems and Clean Energy, Vol 7, Iss 1, Pp 88-98 (2018) |
| ISSN: | 2196-5420 2196-5625 |
| DOI: | 10.1007/s40565-018-0417-1 |
| Popis: | Power systems depend on discrete devices, such as shunt capacitors/reactors and on-load tap changers, for their long-term reliability. In transmission systems that contain large wind farms, we must take into account the uncertainties in wind power generation when deciding when to operate these devices. In this paper, we describe a method to schedule the operation of these devices over the course of the following day. These schedules are designed to minimize wind-power generation curtailment, bus voltage violations, and dynamic reactive-power deviations, even under the worst possible conditions. Daily voltage-control decisions are initiated every 15 min using a dynamic optimization algorithm that predicts the state of the system over the next 4-hour period. For this, forecasts updated in real-time are employed, because they are more precise than forecasts for the day ahead. Day-ahead schedules are calculated using a two-stage robust mixed-integer optimization algorithm. The proposed control strategies were tested on a Chinese power network with wind power sources; the control performance was also validated numerically. |
| Databáze: | OpenAIRE |
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