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| Content Provider | IET Digital Library |
|---|---|
| Author | Bai, Xuefeng Wu, Hongbin Yang, Shihai Li, Zhixin |
| Abstract | Probabilistic production simulation is an important tool used in conventional power systems to calculate generated energy and evaluate reliability. With the continuous expansion of the renewable energy plants, new characteristics such as intermittency and volatility of power are widely discussed, and it is necessary to study the application of probabilistic production simulation for renewable energy power generation. This study proposes a probabilistic production simulation method based on sequence operation theory (SOT) to simulate the operation of a wind/photovoltaic/energy storage power system. Both the uncertainty of renewable resources and the outage of wind turbines are considered in this study. Considering the complementary property of the renewable energy, pattern clustering is used to analyse the meteorological conditions and to assist in the probabilistic production simulation. Moreover, the output model of the energy storage device is developed using the Monte Carlo method and controlled using a smoothing strategy of the energy storage device. Ultimately, the simulation example shows the feasibility and the higher efficiency of the algorithm compared with Monte Carlo method and a production simulation method based on equivalent energy function. |
| Starting Page | 2700 |
| Ending Page | 2706 |
| Page Count | 7 |
| ISSN | 17518687 |
| Volume Number | 12 |
| e-ISSN | 17518695 |
| Issue Number | Issue 11, Jun (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/12/11 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.1743 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2018-03-13 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Energy Storage Equivalent Energy Function Hybrid Power System Monte Carlo Method Pattern Clustering Photovoltaic Power System Power Engineering Computing Power Generation Reliability Power System Simulation Probabilistic Production Simulation Method Probability Reliability Renewable Energy Plant Renewable Energy Power Generation Renewable Resource Sequence Sequence Operation Theory Smoothing Method Smoothing Strategy Solar Power Stations SOT Wind Power Plant Wind Turbine Wind-photovoltaic-energy Storage Hybrid Power System |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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