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| Content Provider | IET Digital Library |
|---|---|
| Author | Kathiravan, Renganathan Devi, Raguru Pandu Kumudini |
| Abstract | Minimising emissions and operational costs are essential during energy production. To address this, a rational emission conversion factor-based optimal economic emission dispatch model is proposed to allocate generators in a dispatch fleet optimally. Additionally, the role of renewable energy (RE) generators in enhancing the decarbonised operation of power systems is investigated. A multi-objective function – consisting of fuel cost, RE forecasting deviation cost, and emission cost – is solved using the flower pollination algorithm, and the proposed scheme is successfully tested on the IEEE 30-bus and Indian utility 30-bus systems. The need for exact quantification of emissions and minimising the RE forecasting error, which offsets the benefits of RE, is demonstrated through various case studies. |
| Starting Page | 1239 |
| Ending Page | 1245 |
| Page Count | 7 |
| ISSN | 17521416 |
| Volume Number | 14 |
| e-ISSN | 17521424 |
| Issue Number | Issue 7, May (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/14/7 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.1090 |
| Journal | IET Renewable Power Generation |
| Publisher Date | 2020-03-27 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Air Pollution Control Decarbonised Operation Energy Production Flower Pollination Algorithm IEEE 30-bus Indian Utility 30-bus System Minimising Emission Multiobjective Function Optimal Economic Emission Dispatch Model Optimisation Optimisation Technique Power Generation Dispatch Power Generation Economics Power Generation Planning Power System Power System Economics Power System Managemen Power System Operation Power System Planning And Layout RE Forecasting Deviation Cost Renewable Energy Generator Statistics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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