Dynamic Weight-Based Collaborative Optimization for Power Grid Voltage Regulation
Abstract
The proliferation of PV systems connected to the electric power distribution network introduce power flow changes and voltages issues to the grid, especially when the nominal peak capacity of these units gets close to the network’s load size. Taking advantages of smart PV inverter capacities of curtail real power or inject/absorb reactive power, different control strategies has been developed to help voltage regulation across distribution feeders. The most effective strategies propose information/data exchange among inverters with different communication schemes, but no previous research has considered adapting this data exchange over time. The method proposed combines a cooperative distributed optimization technique with solar forecasting to regulate voltage on a distributed network with high PV penetration using reactive power. The advantages of the proposed method are shown under different power grid conditions comparing its behavior with three fixed communication schemes: full, decentralized and neighboring.