Browsing by Author "Frantsuzova Galina"
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- ItemApplication of PID controller based on the localization method for ancillary service provision(Institute of Electrical and Electronics Engineers Inc. (IEEE), 2016) Hlava Jaroslav; Zemtsov Nikita; Frantsuzova Galina
- ItemControlling Systems for Robotics, Mechatronics and Laser Measurements: Concept of the Summer School.(Novosibirsk Institute of Software Systems, 2017) Nosek Jaroslav; Zhmud Vadim; Voevoda Alexandr; Vostrikov Anatoly; Frantsuzova Galina; Roth Hubert; Dimitrov Lubomir; Hard Wolfram; Tudevdagva Uranchimeg; Cherkasova Olga; Prokhorenko Evgeny; Khudyakov Dmitriy; Kolker Alexey; Liapidevskiy Alexander
- ItemEconomic MPC based on LPV model for thermostatically controlled loads(Institute of Electrical and Electronics Engineers Inc., 2017) Zemtsov Nikita; Hlava Jaroslav; Frantsuzova Galina; Madsen Henrik; Junker, Rune Gronborg; Jørgensen, John BagterpRapid increase of the renewable energy share in electricity production requires optimization and flexibility of the power consumption side. Thermostatically controlled loads (TCLs) have a large potential for regulation service provision. Economic model predictive control (MPC) is an advanced control method which can be used to syncronize the power consumption with undispatchable renewable electricity production. Thermal behavior of TCLs can be described by linear models based on energy balance of the system. In some cases, parameters of the model may be time-varying. In this work, we present a modified economic MPC based on linear parameter-varying model. In particular, we provide an exact transformation from a standard economic MPC formulation to a linear program. We assume that the variables influencing the model parameters are known (predictable) for the prediction horizon of the controller. As a case study, we present control system that minimizes operational cost of swimming pool heating system, where parameters of the model depend on the weather forecast. Simulation results demonstrate that the proposed method is able to deal with this kind of systems.
- ItemEconomic nonlinear MPC for a population of thermostatically controlled loads(Springer Verlag, 2018) Hlava Jaroslav; Zemtsov Nikita; Frantsuzova Galina; Madsen Henrik; Jørgensen John Bagterp
- ItemEU-PC Double Degree Master Program in Automation and Mechatronics(Novosibirsk Institute of Software Systems, 2018) Zhmud Vadim; Frantsuzova Galina; Dimitrov Lubomir; Nosek Jaroslav
- ItemExperience in the development of partnership in the preparation of master(Novosibirsk Institute of Software Systems, 2017) Nosek Jaroslav; Zhmud Vadim; Frantsuzova Galina; Dimitrov Lubomir
- ItemExperience of international collaboration in preparation of masters in "Mechatronics" with call for funds from Tempus and Erasmus programs(IOP Publishing, 2018) Zhmud Vadim; Frantsuzova Galina; Dimitrov Lubomir; Nosek Jaroslav
- ItemFormalization of Requirements for Locked-Loop Control Systems for Their Numerical Optimization(Springer Nature Switzerland AG 2019, 2019) Zhmud Vadim; Frantsuzova Galina; Dimitrov Lubomir; Nosek Jaroslav
- ItemNonlinear Process Control - Once-through Boiler(IEEE, 2014) Hubka Lukáš; Frantsuzova Galina; Suvorov Dmitry
- ItemOpportunities for Students to Participate in the Program for Obtaining a Second European Diploma in Terms of COVID-19(Novosibirsk Institute of Software Systems, 2020) Zhmud Vadim; Frantsuzova Galina; Nosek Jaroslav; Dimitrov Lubomir; Hardt Wolfram; Dolinina Olga; Tudevdagva Uranchimeg
- ItemUsing the localization method for once-through boiler control(Institute of Electrical and Electronics Engineers Inc. IEEE, 2015) Zemtsov Nikita; Frantsuzova Galina; Suvorov Dmitry
- ItemUsing the robust PID controller to manage the population of thermostatically controlled loads(Institute of Electrical and Electronics Engineers Inc., 2017) Zemtsov Nikita; Hlava Jaroslav; Frantsuzova GalinaThe population of thermostatically controlled loads can be used to solve power balance control tasks in electrical grids. Nowadays, effective use of resources and improvement of electricity production is a very important issue, thus, research studying the use of smart grid features are topical. The first paper part deals with simulation of the population of thermostatically controlled loads. The proposed method is quite convenient and effective. It allows us working with a large group of electrical heaters. The second part of the paper contains an example of the task which can be worked out. The obtained results show that the task can be solved relatively well even using some simple controller structure such as the PID-controller.