Application of PID controller based on the localization method for ancillary service provision

Abstract

The work deals with usage of classical PID controller to maintain balance between electricity consumption and production using concepts of smart grid and virtual power plant. Aggregated control of large groups of thermostatically controlled loads can be used for ancillary services provision. The focus is on secondary control and peak-shaving, which are a part of the power balance problem. Calculation of PID controller parameters are based on the localization method. The main idea of the localization method is using a derivatives vector of the controlled variable for manipulated variable calculation. The highest derivative implicitly contains full information about plant's state at the current moment. The dynamics of individual building with heaters is described by second order equivalent thermal parameters (ETP) model. The obtained results show that aggregate response of large population of electrical space heaters can meet the requirements on both of the problems. Nevertheless, there are still a lot of issues remaining open: influence of the hysteresis parameter, and using suitable sampling time in order to lower demand on the communication infrastructure.

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“…A pesquisa de [Hlava et al 2016] aplica um controlador PID tradicional para manter o equilíbrio entre o consumo e a produc ¸ão de energia, onde o controlador tem o objetivo de reduzir os picos de carga e para isso é utilizado o método de localizac ¸ão para calcular os parâmetros necessários para realizar o ajuste.…”

Innovative IoT Sensing and Communication Unit in Agriculture

“…Controlling some actuators via IoT is still evolving. The different algorithms can be applied in control theory such as fuzzy [8,9] or implementation of conventional PID as described in [10,11]. Hlava et al [12] also investigated on hybrid processes.…”