Abstract
This paper introduces a metaheuristic Intervention Scheme Based Mean Variance Mapping Optimization (MVMO-IB) algorithm for solving the Optimal Reactive Power Management (ORPM) problem. The intervention scheme, objectives and constraints used in the MVMO-IB have been derived through surveys conducted at transmission system control center and are supported using literature. Contingency analysis feature has also been included in the solver. The solver is capable of searching solutions for optimization variables of continuous, discrete and binary types. Simulation based studies are conducted on an 80-bus power system divided into three areas. Evaluations based on convergence speed, optimal solutions and closeness of results obtained through industrialized linear programming optimization solver are provided. Results show that MVMO-IB can be used to solve ORPM in the system operations domain.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-5386-3312-0 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America - JW Marriott Hotel, Quito, Ecuador Duration: 20 Sept 2017 → 22 Sept 2017 http://ieee-isgt-latam.org/files/2017/08/Technical-Program_IEEE_ISGT_LA_2017.pdf |
Conference
| Conference | 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America |
|---|---|
| Abbreviated title | 2017 ISGT Latin America |
| Country/Territory | Ecuador |
| City | Quito |
| Period | 20/09/17 → 22/09/17 |
| Internet address |
Keywords
- voltage control
- reactive power
- optimization
- heuristic algorithms
- system operations
- mean variance mapping optimization