Abstract
This paper introduces a new approach for the optimal management of reactive power, with emphasis on offshore wind power plants. The approach follows a predictive optimization scheme (i.e. day-ahead, intraday application).
Predictive optimization is based on the principle of minimizing the real power losses, as well the number of On-load Tap Changer (OLTC) operations for daily time horizon (discretized in 24 hours). The mixed-integer nature of the problem and the restricted computing budget is tackled by using an emerging
metaheuristic algorithm called Mean-Variance Mapping Optimization (MVMO). The evolutionary mechanism of MVMO is enhanced by introducing a new mapping function, which improves its global search capability. The effectiveness of MVMO to find solutions that ensure minimum losses, minimum impact on OLTC lifetime, and well as optimal grid code compliance is demonstrated by investigating the case of a real world far-offshore wind power plant with HVDC connection.
Predictive optimization is based on the principle of minimizing the real power losses, as well the number of On-load Tap Changer (OLTC) operations for daily time horizon (discretized in 24 hours). The mixed-integer nature of the problem and the restricted computing budget is tackled by using an emerging
metaheuristic algorithm called Mean-Variance Mapping Optimization (MVMO). The evolutionary mechanism of MVMO is enhanced by introducing a new mapping function, which improves its global search capability. The effectiveness of MVMO to find solutions that ensure minimum losses, minimum impact on OLTC lifetime, and well as optimal grid code compliance is demonstrated by investigating the case of a real world far-offshore wind power plant with HVDC connection.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2017 IEEE Manchester PowerTech |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-5090-4237-1 |
| DOIs | |
| Publication status | Published - Jun 2017 |
| Event | 12th IEEE PES PowerTech Manchester 2017 Conference: Towards and Beyond Sustainable Energy Systems - Manchester, United Kingdom Duration: 18 Jun 2017 → 22 Jun 2017 Conference number: 12 |
Conference
| Conference | 12th IEEE PES PowerTech Manchester 2017 Conference |
|---|---|
| Abbreviated title | IEEE PowerTech Manchester 2017 |
| Country/Territory | United Kingdom |
| City | Manchester |
| Period | 18/06/17 → 22/06/17 |
Keywords
- optimal reactive power management
- mean-variance mapping optimization
- on-load tap changer