Regression Analysis of Grid Stability under Decentralized Control

Abstract

Decentralized smart grid control (DSGC) aims to implement smart control strategies through the demand response without significant reinforcements in the grid infrastructure. This strategy aims to balance the demand and supply considering the dynamic and economic price structure of the grid. Demand response strategy is implemented based on the heterogeneous nature of response of the consumers to the electricity price. In this paper, feature selection and regression analysis have been performed to study the dependence of the stability condition and system parameters on the parameters of decentralized control like the reaction time of the consumer, power produced or consumed and the price elasticity. The analysis is performed based on the data generated considering 10,000 Monte Carlo simulations of the initial conditions, which incorporates different characteristics of the heterogeneous consumers.