Flexible Synthetic Inertia Optimization in Modern Power Systems
Increasing the replacement of conventional synchronous machines by non-synchronous renewable machines reduces the conventional synchronous generator (SG) inertia in the modern network. Synthetic inertia (SI) control topologies to provide frequency support are becoming a new frequency control tactic...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Inventions |
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| Online Access: | https://www.mdpi.com/2411-5134/9/1/18 |
| _version_ | 1797297870819295232 |
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| author | Peter Makolo Ramon Zamora Uvini Perera Tek Tjing Lie |
| author_facet | Peter Makolo Ramon Zamora Uvini Perera Tek Tjing Lie |
| author_sort | Peter Makolo |
| collection | DOAJ |
| description | Increasing the replacement of conventional synchronous machines by non-synchronous renewable machines reduces the conventional synchronous generator (SG) inertia in the modern network. Synthetic inertia (SI) control topologies to provide frequency support are becoming a new frequency control tactic in new networks. However, the participation of SI in the market of RES-rich networks to provide instant frequency support when required proposes an increase in the overall marginal operation cost of contemporary networks. Consequently, depreciation of operation costs by optimizing the required SI in the network is inevitable. Therefore, this paper proposes a flexible SI optimization method. The algorithm developed in the proposed method minimizes the operation cost of the network by giving flexible SI at a given SG inertia and different sizes of contingency events. The proposed method uses Box’s evolutionary optimizer with a self-tuning capability of the SI control parameters. The proposed method is validated using the modified New England 39-bus network. The results show that provided SIs support the available SG inertia to reduce the RoCoF values and maintain them within acceptable limits to increase the network’s resilience. |
| first_indexed | 2024-03-07T22:27:37Z |
| format | Article |
| id | doaj.art-63f11adaf21a4e1c8b3a072047c04f68 |
| institution | Directory Open Access Journal |
| issn | 2411-5134 |
| language | English |
| last_indexed | 2024-03-07T22:27:37Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Inventions |
| spelling | doaj.art-63f11adaf21a4e1c8b3a072047c04f682024-02-23T15:21:40ZengMDPI AGInventions2411-51342024-01-01911810.3390/inventions9010018Flexible Synthetic Inertia Optimization in Modern Power SystemsPeter Makolo0Ramon Zamora1Uvini Perera2Tek Tjing Lie3Department of Electrical and Electronic Engineering, Auckland University of Technology (AUT), Auckland 1010, New ZealandDepartment of Electrical and Electronic Engineering, Auckland University of Technology (AUT), Auckland 1010, New ZealandDepartment of Electrical and Electronic Engineering, Auckland University of Technology (AUT), Auckland 1010, New ZealandDepartment of Electrical and Electronic Engineering, Auckland University of Technology (AUT), Auckland 1010, New ZealandIncreasing the replacement of conventional synchronous machines by non-synchronous renewable machines reduces the conventional synchronous generator (SG) inertia in the modern network. Synthetic inertia (SI) control topologies to provide frequency support are becoming a new frequency control tactic in new networks. However, the participation of SI in the market of RES-rich networks to provide instant frequency support when required proposes an increase in the overall marginal operation cost of contemporary networks. Consequently, depreciation of operation costs by optimizing the required SI in the network is inevitable. Therefore, this paper proposes a flexible SI optimization method. The algorithm developed in the proposed method minimizes the operation cost of the network by giving flexible SI at a given SG inertia and different sizes of contingency events. The proposed method uses Box’s evolutionary optimizer with a self-tuning capability of the SI control parameters. The proposed method is validated using the modified New England 39-bus network. The results show that provided SIs support the available SG inertia to reduce the RoCoF values and maintain them within acceptable limits to increase the network’s resilience.https://www.mdpi.com/2411-5134/9/1/18synthetic inertiafrequency responseRoCoFcontingency eventflexible inertia |
| spellingShingle | Peter Makolo Ramon Zamora Uvini Perera Tek Tjing Lie Flexible Synthetic Inertia Optimization in Modern Power Systems Inventions synthetic inertia frequency response RoCoF contingency event flexible inertia |
| title | Flexible Synthetic Inertia Optimization in Modern Power Systems |
| title_full | Flexible Synthetic Inertia Optimization in Modern Power Systems |
| title_fullStr | Flexible Synthetic Inertia Optimization in Modern Power Systems |
| title_full_unstemmed | Flexible Synthetic Inertia Optimization in Modern Power Systems |
| title_short | Flexible Synthetic Inertia Optimization in Modern Power Systems |
| title_sort | flexible synthetic inertia optimization in modern power systems |
| topic | synthetic inertia frequency response RoCoF contingency event flexible inertia |
| url | https://www.mdpi.com/2411-5134/9/1/18 |
| work_keys_str_mv | AT petermakolo flexiblesyntheticinertiaoptimizationinmodernpowersystems AT ramonzamora flexiblesyntheticinertiaoptimizationinmodernpowersystems AT uviniperera flexiblesyntheticinertiaoptimizationinmodernpowersystems AT tektjinglie flexiblesyntheticinertiaoptimizationinmodernpowersystems |