Impact of unit commitment constraints on generation expansion planning with renewables
Growing use of renewables pushes thermal generators against operating constraints - e.g. ramping, minimum output, and operating reserves - that are traditionally ignored in expansion planning models. We show how including such unit-commitment-derived details can significantly change energy productio...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers
2012
|
| Online Access: | http://hdl.handle.net/1721.1/70116 |
| _version_ | 1826196649197699072 |
|---|---|
| author | Palmintier, Bryan Stephen Webster, Mort David |
| author2 | Massachusetts Institute of Technology. Engineering Systems Division |
| author_facet | Massachusetts Institute of Technology. Engineering Systems Division Palmintier, Bryan Stephen Webster, Mort David |
| author_sort | Palmintier, Bryan Stephen |
| collection | MIT |
| description | Growing use of renewables pushes thermal generators against operating constraints - e.g. ramping, minimum output, and operating reserves - that are traditionally ignored in expansion planning models. We show how including such unit-commitment-derived details can significantly change energy production and optimal capacity mix. We introduce a method for efficiently combining unit commitment and generation expansion planning into a single mixed-integer optimization model. Our formulation groups generators into categories allowing integer commitment states from zero to the installed capacity. This formulation scales well, runs much faster (e.g. 5000×) than individual plant binary decisions, and makes the combined model computationally tractable for large systems (hundreds of generators) at hourly time resolutions (8760 hours) using modern solvers on a personal computer. We show that ignoring these constraints during planning can result in a sub-optimal capacity mix with significantly higher operating costs (17%) and carbon emissions (39%) and/or the inability to meet emissions targets. |
| first_indexed | 2024-09-23T10:32:24Z |
| format | Article |
| id | mit-1721.1/70116 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:32:24Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/701162022-09-30T21:37:09Z Impact of unit commitment constraints on generation expansion planning with renewables Palmintier, Bryan Stephen Webster, Mort David Massachusetts Institute of Technology. Engineering Systems Division Webster, Mort David Webster, Mort David Palmintier, Bryan Stephen Growing use of renewables pushes thermal generators against operating constraints - e.g. ramping, minimum output, and operating reserves - that are traditionally ignored in expansion planning models. We show how including such unit-commitment-derived details can significantly change energy production and optimal capacity mix. We introduce a method for efficiently combining unit commitment and generation expansion planning into a single mixed-integer optimization model. Our formulation groups generators into categories allowing integer commitment states from zero to the installed capacity. This formulation scales well, runs much faster (e.g. 5000×) than individual plant binary decisions, and makes the combined model computationally tractable for large systems (hundreds of generators) at hourly time resolutions (8760 hours) using modern solvers on a personal computer. We show that ignoring these constraints during planning can result in a sub-optimal capacity mix with significantly higher operating costs (17%) and carbon emissions (39%) and/or the inability to meet emissions targets. 2012-04-24T16:06:30Z 2012-04-24T16:06:30Z 2011-07 Article http://purl.org/eprint/type/ConferencePaper 978-1-4577-1001-8 978-1-4577-1000-1 1944-9925 1944-9933 INSPEC Accession Number: 12303039 http://hdl.handle.net/1721.1/70116 Palmintier, Bryan, and Mort Webster. “Impact of Unit Commitment Constraints on Generation Expansion Planning with Renewables.” IEEE, 2011. 1–7. Web. en_US http://dx.doi.org/10.1109/PES.2011.6038963 Proceedings of the 2011 IEEE Power & Energy Society General Meeting Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers MIT web domain |
| spellingShingle | Palmintier, Bryan Stephen Webster, Mort David Impact of unit commitment constraints on generation expansion planning with renewables |
| title | Impact of unit commitment constraints on generation expansion planning with renewables |
| title_full | Impact of unit commitment constraints on generation expansion planning with renewables |
| title_fullStr | Impact of unit commitment constraints on generation expansion planning with renewables |
| title_full_unstemmed | Impact of unit commitment constraints on generation expansion planning with renewables |
| title_short | Impact of unit commitment constraints on generation expansion planning with renewables |
| title_sort | impact of unit commitment constraints on generation expansion planning with renewables |
| url | http://hdl.handle.net/1721.1/70116 |
| work_keys_str_mv | AT palmintierbryanstephen impactofunitcommitmentconstraintsongenerationexpansionplanningwithrenewables AT webstermortdavid impactofunitcommitmentconstraintsongenerationexpansionplanningwithrenewables |