Increasing wind power penetration and voltage stability limits using energy storage systems
| dc.contributor.advisor | Santoso, Surya | en |
| dc.contributor.committeeMember | Arapostathis, Aristotle | en |
| dc.contributor.committeeMember | Bishop, Robert | en |
| dc.contributor.committeeMember | Driga, Mircea | en |
| dc.contributor.committeeMember | Grady, William M. | en |
| dc.creator | Le, Ha Thu | en |
| dc.date.accessioned | 2010-09-22T20:49:06Z | en |
| dc.date.available | 2010-09-22T20:49:06Z | en |
| dc.date.available | 2010-09-22T20:49:12Z | en |
| dc.date.issued | 2010-05 | en |
| dc.date.submitted | May 2010 | en |
| dc.date.updated | 2010-09-22T20:49:13Z | en |
| dc.description | text | en |
| dc.description.abstract | The research is motivated by the need to address two major challenges in wind power integration: how to mitigate wind power fluctuation and how to ensure stability of the farm and host grid. It is envisaged that wind farm power output fluctuation can be reduced by using a specific type of buffer, such as an energy storage system (ESS), to absorb its negative impact. The proposed solution, therefore, employs ESS to solve the problems. The key research findings include a new technique for calculating the desired power output profile, an ESS charge-discharge scheme, a novel direct-calculation (optimization-based) method for determining ESS optimal rating, and an ESS operation scheme for improving wind farm transient stability. Analysis with 14 wind farms and a compressed-air energy storage system (CAES) shows that the charge-discharge scheme and the desired output calculation technique are appropriate for ESS operation. The optimal ESSs for the 14 wind farms perform four or less switching operations daily (73.2%-85.5% of the 365 days) while regulating the farms output variation. On average, the ESSs carry out 2.5 to 3.1 switching operations per day. By using the direct-calculation method, an optimal ESS rating can be found for any wind farm with a high degree of accuracy. The method has a considerable advantage over traditional differential-based methods because it does not require knowledge of the analytical form of the objective function. For ESSs optimal rating, the improvement in wind energy integration is between 1.7% and 8%. In addition, a net increase in grid steady-state voltage stability of 8.3%-18.3% is achieved by 13 of the 14 evaluated ESSs. For improving wind farm transient stability, the proposed ESS operation scheme is effective. It exploits the use of a synchronous-machine-based ESS as a synchronous condenser to dynamically supply a wind farm with reactive power during faults. Analysis with an ESS and a 60-MW wind farm consisting of stall-regulated wind turbines shows that the ESS increases the farm critical clearing time (CCT) by 1 cycle for worst-case bolted three-phase-to-ground faults. For bolted single-phase-to-ground faults, the CCT is improved by 23.1%-52.2%. | en |
| dc.description.department | Electrical and Computer Engineering | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/2152/ETD-UT-2010-05-864 | en |
| dc.language.iso | eng | en |
| dc.subject | Charge-discharge scheme | en |
| dc.subject | Critical clearing time | en |
| dc.subject | Compressed-air energy storage system (CAES) | en |
| dc.subject | Demand mismatch | en |
| dc.subject | DFIG | en |
| dc.subject | Direct calculation method | en |
| dc.subject | Desired output | en |
| dc.subject | ESS unit-sizing | en |
| dc.subject | Induction generator | en |
| dc.subject | Synchronous-machine based ESS | en |
| dc.subject | Stall-regulated wind turbine | en |
| dc.subject | Steady-state voltage stability | en |
| dc.subject | Synchronous condenser | en |
| dc.subject | Transient stability | en |
| dc.subject | Wind turbine modeling | en |
| dc.subject | Wind farm | en |
| dc.subject | Wind power farming | en |
| dc.title | Increasing wind power penetration and voltage stability limits using energy storage systems | en |
| dc.type.genre | thesis | en |
| thesis.degree.department | Electrical and Computer Engineering | en |
| thesis.degree.discipline | Electrical and Computer Engineering | en |
| thesis.degree.grantor | University of Texas at Austin | en |
| thesis.degree.level | Doctoral | en |
| thesis.degree.name | Doctor of Philosophy | en |