Abstract
The widening gap between energy generation and demand on a global scale, coupled with the imperative to reduce emissions, has necessitated the development of largescale sustainable energy solutions. Among the various renewable energy options, Wind Power stands out as a viable source capable of generating substantial amounts of electricity. However, the unpredictable nature of wind availability and its fluctuations pose challenges for grid operators in effectively harnessing and distributing the generated wind power. This issue becomes more pronounced when transmitting wind power through local grids to distant load centers. Voltage instability at local buses emerges as a significant concern in wind-integrated power systems. To address these challenges, dynamic compensation at multiple locations has proven to be an effective solution. Various alternative approach to controlling the firing of Static Var Compensators (SVCs) connected to the network is proposed in the present work. The traditional method, which relies on a classical control approach, is computationally intensive and time-consuming. To overcome this limitation, we propose the utilization of a trained Neural Network for simultaneous control of the firing angles of all SVCs, accommodating various system conditions such as change in load and wind generation fluctuations. Porposed method has been evaluated on both a modified IEEE-30 bus system and a 28-bus Indian system.
Original language | English |
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Title of host publication | 2023 1st International Conference on Circuits, Power, and Intelligent Systems, CCPIS 2023 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 6 |
ISBN (Electronic) | 9798350315769 |
DOIs | |
Publication status | Published - 2023 |
Event | 1st International Conference on Circuits, Power, and Intelligent Systems, CCPIS 2023 - Bhubaneswar, India Duration: 1 Sept 2023 → 3 Sept 2023 |
Publication series
Name | 2023 1st International Conference on Circuits, Power, and Intelligent Systems, CCPIS 2023 |
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Conference
Conference | 1st International Conference on Circuits, Power, and Intelligent Systems, CCPIS 2023 |
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Country/Territory | India |
City | Bhubaneswar |
Period | 1/09/23 → 3/09/23 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- ANN
- Distributed Computing
- Restoration
- Smart Grid
- SVC firing