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| Content Provider | IET Digital Library |
|---|---|
| Author | Geng, Zhaowei Conejo, Antonio J. Kang, Chongqing Chen, Qixin |
| Abstract | In highly polluted regions, it might be necessary to operate power plants enforcing appropriate emission limits to help ensuring air quality. If the air quality is low and pollutants are difficult to diffuse, few additional emissions should be allowed to avoid further deteriorating the air quality. Wind power helps reducing pollution levels as it substitutes polluting thermal production. However, wind and air pollution are generally anti-correlated. Storage can be used to shift wind power production from hours when higher pollution levels are allowed to hours when lower pollution levels are allowed to help meeting emission constraints at critical hours. Storage availability also achieves a comparatively lower production cost for the system as a whole. To represent the stochastic nature of wind power production and weather-dependent emission limits, the authors propose a two-stage stochastic programming model to analyse the trade-off emission versus cost in an electric energy system with storage facilities. The first stage represents the day-ahead scheduling, while the second one represents the real-time operation under different scenarios. The authors analyse the impact of emission limits and/or storage on generation scheduling by comparing different models using an illustrative example and a case study based on the IEEE 118-node system. |
| Starting Page | 2031 |
| Ending Page | 2040 |
| Page Count | 10 |
| ISSN | 17518687 |
| Volume Number | 11 |
| e-ISSN | 17518695 |
| Issue Number | Issue 8, Jun (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/11/8 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.1619 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2017-01-30 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Air Pollution Control Air Quality Day-ahead Scheduling Electric Energy System Energy Storage Generation Scheduling IEEE 118-node System IEEE Standards Optimisation Technique Pollution Detection And Control Power Generation Scheduling Stochastic Programming Stochastic Scheduling Thermal Production Trade-off Emission Analysis Two-stage Stochastic Programming Model Wind Power And Storage Coordination Wind Power Plant Wind Power Production |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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