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| Content Provider | IET Digital Library |
|---|---|
| Author | Zhao, Xia Ye, Xiaobin Yang, Lun Zhang, Rongrong Yan, Wei |
| Abstract | The continuing growth of an offshore wind farm integrated into a power grid via high-voltage DC has posed great challenges for automatic generation control (AGC) of the power system. To address these challenges, a new concept of ‘dynamic dispatch of AGC units (DDA)’ under control performance standards from the view of economic dispatch (ED) has been proposed in the previous work, and proved to be an effective technique to co-operate the AGC units with different ramping rates and to fill the gap between ED and AGC. However, the existing DDA model is deterministic in nature, which can hardly deal with the uncertain forecasting error of the offshore wind power output. A novel stochastic DDA model based on chance-constrained programming is proposed considering a random offshore wind power forecasting error, and a hybrid algorithm combining the evolutionary programming algorithm and point estimate method is then developed to solve the stochastic model. Numerical results from a two-area test system with additional offshore wind power generation demonstrate the accuracy and computation efficiency of the hybrid algorithm and the benefits offered by the stochastic AGC dispatch method. |
| Starting Page | 2112 |
| Ending Page | 2119 |
| Page Count | 8 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 16, Mar (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/conferences/cn-adc-2018 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8558 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2018-10-26 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Additional Offshore Wind Power Generation AGC Units Automatic Generation Control Chance-constrained Programming Continuing Growth Control of Electric Power System Control Performance Standards Dynamic Dispatch Dynamic Optimisation Method Economic Dispatch Evolutionary Computation Evolutionary Programming Algorithm Existing DDA Model Great Challenges High-voltage DC Hybrid Algorithm Novel Stochastic DDA Model Offshore Installations Offshore Wind Farm Offshore Wind Power Output Optimisation Optimisation Technique Point Estimate Method Power Generation Control Power Generation Dispatch Power Generation Economics Power Generation Reliability Power Generation Scheduling Power Grid Power System Power System Economics Power System Managemen Power System Operation Random Offshore Wind Power Forecasting Error Statistics Stochastic AGC Dispatch Method Stochastic Linearised SCUC Uncertain Forecasting Error Wind Power Wind Power Plant |
| Content Type | Text |
| Resource Type | Article |
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