Optimal sizing and placement of STATCOM, TCSC and UPFC using a novel hybrid genetic algorithm-improved particle swarm optimization
Urbanus Mwanzia Ngei, Abraham Mutunga Nyete, Peter Musau Moses, Cyrus Wekesa · 2024
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Description
Urbanus Mwanzia Ngei and three co-authors optimize power grid add-ons in a 2024 paper. Demand is outgrowing networks, especially in Sub-Saharan Africa, yet new lines are hard to finance and build. Devices that steer power flow on existing lines can raise capacity without new corridors, if they are sized and placed well.
The team targeted three such devices, one that injects voltage support, one that tunes line reactance, and one that does both. Their objective balanced three goals: cut power losses, steady voltages, and hold down operating cost. A hybrid algorithm, part genetic evolution and part improved swarm search, did the tuning. Tested on a standard thirty-three-bus distribution benchmark, the devices were optimized alone and in combination. The authors report the hybrid solver finding placements that improve the network on all three goals. The study speaks to utilities squeezing more from grids they already own.
Catalog record
| CREATOR | Urbanus Mwanzia Ngei, Abraham Mutunga Nyete, Peter Musau Moses, Cyrus Wekesa |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 61 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |