Electrical Distance Based ML-Assisted Clustering Case Study on Indian 62-Bus Utility Grid for Voltage Control Area Determination

Managing the ever-increasing power demand through a complex electrical grid, fulfilling all physical and economic constraints, is a challenge to grid operators. Supplying stable, reliable and resilient power often necessitates partitioning of the power grid for easy and flexible control. One of the critical aspects of grid management is voltage control through proper reactive power management. Using the already established concept of electrical distance, a framework is given to form a voltage control area through the machine learning method of hierarchical clustering. The case study on the Indian 62-bus utility system establishes the feasibility of such a clustering algorithm.