Multiple System Function Supports with Inverter-Dominated Virtual Power Plant

Recently, renewables equipped with smart inverters are being integrated into distribution networks on a large scale. To address the problem that renewables are too scattered and hard to dispatch uniformly, virtual power plant (VPP) technique has been developed. In this work, we proposed an optimization model to coordinate different system functions and allocate them to various devices in a VPP agent. Peak shaving, congestion management, frequency and voltage regulation are all considered. Then, this scenario-based model is solved with the scenario selection method. Two types of scenarios are carefully selected to form the model, aiming at reducing the computation burden and increasing the strategy’s robustness. The model is tested on a VPP agent modified from the 33-bus system. The simulation demonstrates the effectiveness and efficiency of our work.