Abstract
The inclusion of electricity generation from wind in microgrids presents an important opportunity in modern electric power systems. Various control strategies can be pursued for wind resources connected in microgrids, and droop control is a promising option since communication between microgrid components is not required. Traditional droop control does have the drawback of not allowing much or all of the available wind power to be utilized in the microgrid. This paper presents a novel droop control strategy, modifying the traditional approach and building an optimal droop surface at a higher dimension. A method for determining the optimal droop control surface in multiple dimensions to meet a given objective is presented. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more wind power can be utilized, while maintaining the system’s bus voltage and still avoiding the need for communication between the various components.
Highlights
Two emerging technologies that are important in the modern electric power system include wind turbines and microgrids
The results presented in this paper show that the droop control relationship for a source in a DC microgrid can be optimized to meet a given objective
An example microgrid was simulated and demonstrated through HIL, and the results show that a droop control relationship can be chosen to allow the power supplied by a source to match the power available from the wind
Summary
Two emerging technologies that are important in the modern electric power system include wind turbines and microgrids. In one study of the application of droop control with wind resources in microgrids, two distinct droop settings were recommended: one for operation in connection with the larger grid and one for operation in islanded mode [8]. Another approach giving lower droop settings to those sources with higher power margins was proposed [9], in order to improve frequency regulation of wind turbines. This paper presents an improved method for designing droop control for wind resources in DC microgrids, combining each of these two approaches to create an optimal multidimensional droop controller
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