Andrejs Potapovs

Demand side management platform for HAN flexibility estimation

The content of the paper is focusing to demand side management platform elaboration for optimal energy management strategies, topicality of smart metering & control including deployment of the price responsive demand. Presented tests are performed in Smart Grid Research Centre research facility Demand Side Management-Smart Home Lab with the aim to achieve the rational use of energy, demonstrate first steps of implementation home automation system with automated energy consumption scheduling units for load flexibility and controllable portion estimation.

Smooth and precise adaptive train braking system developing and testing

This paper is devoted to the investigation and development of the transport control system applying adaptive control algorithms and embedded intelligent devices. The introduction contains the basis of the topicality of the subject in accordance with which the aim and objectives of the thesis are determined. Some of the adaptive search algorithms are studied and the task is to test and select the most suitable and the most effective of them. The examining of the prototype under real operation conditions are described in this paper.

Assessment of Adaptive Algorithms for Automatic Control of Train Braking System

This paper provides a new insight into the smooth and precise adaptive railway transport braking system development. The system contains a controller with a control program based on an adaptive control algorithm and a current train braking control system ensures an automatic smooth and precise braking of a train and another controller ensures an automatic stopping of the train before the red light. Some of the adaptive search algorithms are studied and the task is to test and select the most suitable and the most effective of them. The computer model and simulation results are described in this paper.

Algorithm for Public Electric Transport Schedule Control for Intelligent Embedded Devices

Algorithm for Public Electric Transport Schedule Control for Intelligent Embedded Devices In this paper authors present heuristics algorithm for precise schedule fulfilment in city traffic conditions taking in account traffic lights. The algorithm is proposed for programmable controller. PLC is proposed to be installed in electric vehicle to control its motion speed and signals of traffic lights. Algorithm is tested using real controller connected to virtual devices and real functional models of real tram devices. Results of experiments show high precision of public transport schedule fulfilment using proposed algorithm.