Lubos Streit

Position-Based T-S Fuzzy Power Management for Tram With Energy Storage System

Energy storage systems (ESSs) play a significant role in performance improvement of future electric traction systems. This paper investigates an ESS based on supercapacitors for trams as a reliable technical solution with considerable energy saving potential. Operating the ESS onboard a tram brings the following benefits: reduction of peak power demands, decrease of power consumption, improvement of performance, and efficiency. Whereas the commonly used ESS power management (PM) has been dealing only with PM without vehicle position knowledge, the main emphasis of the presented research is put on position-based Takagi-Sugeno fuzzy (T-S fuzzy) PM for human-driven trams with an ESS. The tram position, located by, e.g., a Global Positioning System module, is used to predict future energy demands and power flows. This information is used in the preparation of the supercapacitor energy level and its power flow control. The optimal ESS power flow with respect to the tram position is a very complex problem. Therefore, soft computing techniques are used in this paper. The main part of the proposed ESS PM is the T-S fuzzy controller. The T-S fuzzy reduces problem dimensionality using expert knowledge represented by the rules. The output membership functions were optimized by differential evolution. The designed ESS PM was verified on real traffic data.

The energy storage system with supercapacitor

This paper presents research motivated by industrial demand for energy storage system for city transport vehicles. The kinetic energy is accumulated into the supercapacitor during vehicle braking. This energy can be used to accelerating again. It is important to save the energy in the vehicles, which accelerate very often.

The energy storage system with supercapacitor for public transport

This paper presents research motivated by industrial demand for energy storage system for city transport vehicles. Our city transport has problems with stability of the trolley line voltage at the several places in the city a therefore this research has been started. Energy storage system with supercapacitors is one solution. The kinetic energy is accumulated into the supercapacitor during vehicle braking. This energy can be used to accelerating again. It is important to save the energy in the vehicles, which accelerate very often (we can think about stabile or mobile version).

Complete design of down-scale prototype of mining machine converter based on four-level voltage-source converter with flying capacitors

This contribution describes complete design of a three-phase four-level voltage-source converter for a new mining machine drive. Particularly, it is focused on development of a down-scale laboratory prototype of a converter with rated power of 30kVA. Moreover, the control system called REMCS which has been designed for control of the final full power prototype is also introduced. The proper function of the developed converter prototype is verified by selected experiments.

The energy storage system based on the supercapacitors

This paper presents research motivated by industrial demand for energy storage system for city transport vehicles. The kinetic energy is accumulated into the supercapacitor during vehicle braking. This energy can be used to accelerating again. It is important to save the energy in the vehicles, which accelerate very often.

Stochastic tram model based on real traffic data for energy storage system designing

This paper describes the stochastic tram model development on a real traffic data. The trams traffic data are measured on the tram without energy storage system in Pilsen (Czech Republic). The model can reliable simulate power flow, line losses and energy storage system efficiency for trams with supercapacitors.

Active voltage balancing control with phase disposition PWM for 4-level flying capacitor converter

This contribution investigates three-phase four-level FLC based indirect frequency converter supplied from a 6kV AC-grid. It describes proposed active voltage balancing control of both output voltage-source inverter and input active rectifier with PD-PWM. The results are verified by experiments made on down-scale prototype of converter of rated power of 35kVA.

Fuzzy energy management strategy for tram with supercapacitors

Energy storage systems (ESS) have large impact on efficiency and reliability of modern electric traction systems. This paper investigates the fuzzy energy management strategy for ESS based on supercapacitors (SC) for human driven trams. Operating the SC on board of a tram brings the following benefits: reduction of peak power demands, decrease of power consumption, improvement of performance and efficiency. Whereas the commonly used ESS Energy management strategies (EMSs) have been dealing without knowledge of vehicle position, the main interest of the presented research is put on the algorithm using the Global Positioning System (GPS). The tram position, located by a GPS module, is used to predict future energy demands and power flows. This information is used in the preparation of the supercapacitor energy level and its power flow control. The optimal ESS power flow with the respect to the tram position is a very complex problem. For this reason, soft computing techniques are used in this paper. The main part of the proposed ESS EMS is the Takagi-Sugeno Fuzzy controller (T-S Fuzzy). The T-S Fuzzy reduces problem dimensionality using the expert knowledge represented by the rules. The output membership functions were finaly optimized by the Differential Evolution (DE).

Energy efficiency of tram emulation with energy storage system

The paper is concerned with construction of the energy efficiency measurement of the tram emulation with the energy storage system. The kinetic energy is accumulated into the supercapacitor during vehicle braking. This energy can be used to accelerate the tram (in next). It is important to save the braking energy of the vehicle, which accelerate very often.

Energy storage savings depended on recuperation ratio in traction

Performance of future electric traction systems can be improved by energy storage system (ESS). Using of ESS is not advantageous in all cases. Additional losses always occur during the ESS operation. If saved energy is relatively low in comparison with these losses, the return of investment will not be reached. This paper is focused on energy storage on-board tram vehicle. Return on investment determination is not trivial for multi-source/load systems like a tram. The main emphasis of proposed research is given to the energy savings in dependency on recuperation ratio in tram line. One of main energy savings influencing factors is power management (PM) strategy of ESS. Therefore five PM strategies were taken in to account for energy savings calculation. Four of PM strategies are basic and one is more sophisticated. This sophisticated strategy is based on the Takagi-Sugeno Fuzzy controller (T-S Fuzzy). T-S Fuzzy strategy uses knowledge of the tram line and tram position by GPS. All these strategies were simulated at the same tram line via stochastic tram line model.