Application of PMU Data in Power Systems Load Modeling
| dc.contributor.advisor | Zareipour, Hamidreza | |
| dc.contributor.author | Hoshyarzadeh, Amir Saman | |
| dc.contributor.committeemember | Nowicki, Edwin Peter | |
| dc.contributor.committeemember | Jazayeri, Seyed Pouyan | |
| dc.date | 2019-11 | |
| dc.date.accessioned | 2019-09-19T14:53:27Z | |
| dc.date.available | 2019-09-19T14:53:27Z | |
| dc.date.issued | 2019-09-12 | |
| dc.description.abstract | Loads are one of the important components in the power system modeling. Accurate load models are necessary to ensure realistic simulation results for different large power systems. Detailed load representation has been a challenge for power system operators, especially for transient and dynamic simulations. The main objective of this thesis is to explore the application of Phasor Measurement Unit (PMU) data for power system load modeling. A general review on load modeling is initially presented. The presented review elaborates on different types of models and identification approaches utilized in the literature. Static and dynamic models are discussed with more emphasis on the dynamic ones. Several examples of studies based on the models for the industry-level practice are provided. Additionally, important points are concluded based on a practical point of view. A measurement-based load modeling approach relying on the PMU data collected at the Alberta’s grid is defined. A major load centre with availability of PMU data is selected as the representative case-study. A breaker event near the PMU monitored substation is detected. Moreover, cross-referencing between available data sources is considered to match the simulation with the actual state of the grid as close as possible. CLOD complex load model parameters are optimized and voltage responses considering optimized and generic values are compared. Furthermore, several other industry-level load models along with potential voltage scenarios are investigated to extend the scope of study. PMU data for the original event is re-sampled and ten scenarios with different voltage recovery times are generated. Four different load models namely, IEEL static, CLOD complex, Induction motor CIM5, and WECC composite load model are implemented. The performance of these models are compared for the generated scenarios. These results yield guidelines for choice of load model structure and parameters in large power systems. | en_US |
| dc.identifier.citation | Hoshyarzadeh, A. S. (2019). Application of PMU Data in Power Systems Load Modeling (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/37074 | |
| dc.identifier.uri | http://hdl.handle.net/1880/111009 | |
| dc.language.iso | eng | en_US |
| dc.publisher.faculty | Schulich School of Engineering | en_US |
| dc.publisher.institution | University of Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | en_US |
| dc.subject | load modeling | en_US |
| dc.subject | dynamic simulation | en_US |
| dc.subject | phasor measurement unit | en_US |
| dc.subject | optimization | en_US |
| dc.subject | industry-level | en_US |
| dc.subject | fault induced delayed voltage recovery | en_US |
| dc.subject.classification | Engineering | en_US |
| dc.subject.classification | Engineering--Electronics and Electrical | en_US |
| dc.title | Application of PMU Data in Power Systems Load Modeling | en_US |
| dc.type | master thesis | en_US |
| thesis.degree.discipline | Engineering – Electrical & Computer | en_US |
| thesis.degree.grantor | University of Calgary | en_US |
| thesis.degree.name | Master of Science (MSc) | en_US |
| ucalgary.item.requestcopy | true | en_US |