Mixed Generation Sensitivity Analysis: An Optimal Scenario Study. Issue 1 (14th October 2014)
- Record Type:
- Journal Article
- Title:
- Mixed Generation Sensitivity Analysis: An Optimal Scenario Study. Issue 1 (14th October 2014)
- Main Title:
- Mixed Generation Sensitivity Analysis: An Optimal Scenario Study
- Authors:
- Wilson, Reginald
- Abstract:
- <abstract abstract-type="main"> <title>Abstract</title> <p>There are several generating units available to meet the load demand on any given day. The mixed‐integer programme case engages generating units that can be shut down or operated between minimum and maximum output levels within a specific time demand block. An examination of these conditions espouses the utilization of renewable energy technology as a reliable power generation source and its effectiveness and augmentation in a robust, heavily subjugated thermal generation system. The mixed‐integer problem has the predisposition to generate many subproblems during the computation. However, with careful selection of the parameters in the model, the challenges are easily overcome. Hydroelectric energy is significant from an operational standpoint as it requires little or no <italic>ramp‐up</italic> time, commonly found in many combustion technologies. The essential load‐following capability, peaking capacity and voltage stability attributes render hydroelectric energy as a significant part in ensuring reliable electricity service and in meeting customer needs in a market‐driven industry. When this renewable resource is combined with the thermal generation, an improved reliability function is apparent. Yet, in order to minimize the environmental effects inherent in this type of energy resource, the renewable power supply is expected to produce an effectual, consistent output. The integration of renewable generation<abstract abstract-type="main"> <title>Abstract</title> <p>There are several generating units available to meet the load demand on any given day. The mixed‐integer programme case engages generating units that can be shut down or operated between minimum and maximum output levels within a specific time demand block. An examination of these conditions espouses the utilization of renewable energy technology as a reliable power generation source and its effectiveness and augmentation in a robust, heavily subjugated thermal generation system. The mixed‐integer problem has the predisposition to generate many subproblems during the computation. However, with careful selection of the parameters in the model, the challenges are easily overcome. Hydroelectric energy is significant from an operational standpoint as it requires little or no <italic>ramp‐up</italic> time, commonly found in many combustion technologies. The essential load‐following capability, peaking capacity and voltage stability attributes render hydroelectric energy as a significant part in ensuring reliable electricity service and in meeting customer needs in a market‐driven industry. When this renewable resource is combined with the thermal generation, an improved reliability function is apparent. Yet, in order to minimize the environmental effects inherent in this type of energy resource, the renewable power supply is expected to produce an effectual, consistent output. The integration of renewable generation within the electrical system entails intricate analysis of the transmission line upgrades throughout the system. These upgrades are designed to relieve congestion, improve reliability and provide voltage support by thoroughly evaluating the alternatives to accommodate the new expansion efforts. This paper examines the system integration of renewable generators, via simulated studies, in the context of electrical operations from the hydroelectric generation perspective. Copyright © 2014 John Wiley &amp; Sons, Ltd.</p> </abstract> … (more)
- Is Part Of:
- Journal of multi-criteria decision analysis. Volume 22:Issue 1/2(2015:Jan./Apr.)
- Journal:
- Journal of multi-criteria decision analysis
- Issue:
- Volume 22:Issue 1/2(2015:Jan./Apr.)
- Issue Display:
- Volume 22, Issue 1/2 (2015)
- Year:
- 2015
- Volume:
- 22
- Issue:
- 1/2
- Issue Sort Value:
- 2015-0022-NaN-0000
- Page Start:
- 51
- Page End:
- 74
- Publication Date:
- 2014-10-14
- Subjects:
- Multiple criteria decision making -- Periodicals
658.40354 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/mcda.1531 ↗
- Languages:
- English
- ISSNs:
- 1057-9214
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5021.054000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3201.xml