Jindrich Stuchly

Prospects for electric vehicles technology with renewable energy sources in a Smart-Grid environment - An introduction

This article is focused on issues concerning electric vehicle technology, linked to the use of renewable sources and their incorporation into the concept of modern automated (unattended) traffic systems - ATS. This concept creates an ideal environment for the generation and development of so-called “Smart Grids”. Deployment of electric vehicles (herein abbreviated to EV) and automated traffic systems in the Smart Grids will enormously reduce the costs and accelerate the massive and large-scale onset of electric mobility, which will in turn result in the dramatically increased stability of electricity grids, as well as a revaluation of the hitherto known renewable energy sources which will not be restricted by the limited capacity of the present distribution networks. The interconnection of technologies will result in a complete solution to the use of renewable energy sources as the most lucrative energy source for automotive transport with a new revolutionary perspective on issues concerning the stability of energy and distribution networks, and their transformation into Smart Grids.

A power quality forecasting model as an integrate part of active demand side management using Artificial Intelligence Technique - Multilayer Neural Network with Backpropagation Learning Algorithm

This paper presents a power quality forecasting model with using Artificial Intelligence Technique, more precisely the Multilayer Neural Network with Backpropagation Learning Algorithm. This forecasting model is used as a supporting tool for a keeping of power quality parameters within the limits in the Off-Grid systems with renewables sources connected via AC By-Pass topology. Results of the most important power quality parameters forecasting are introduced in this paper. The developed algorithm of this model will be implemented into system for controlling the power flows inside the Off-Grid systems operated under Active Demand Side Management.

Solar Power Production Forecasting Based on Recurrent Neural Network

The Active energy unit is a complex system that is independent of an external source of electric energy. It uses mainly renewable sources namely a wind turbine and a photovoltaic power plant. Because of a stochastic character of renewable sources it is important to implement the Active Demand Side Management to control energy flows in the system and manage plans of connected appliances to preserve safe working. Forecasting of solar power production from photovoltaic power plant is one of the most important parts in the system. This paper presents a solar power production forecasting model based on the Recurrent Neural Network.

The protection and the control of a small Off-Grid system

Nowadays, runs an intensive research in development area of energy system with specific requirements, so-called SMART-Grid and Off-Grid. Researchers deal with this phenomenon at several levels across the spectrum, e.g. in scientific research teams, commercial teams and private sector - represented by multinational companies and investments groups. Specific requirements include energy independence of external power supply, operation with equally generation-consumption balance, maximal utilization of renewable energy sources and utilization of the energy storage covering the energy deficit and vice versa. In most cases is generally discussing only the benefits and proactive development direction of these concepts, but as usually with every product, there is no longer mentions the issues of the operations in long time term. The goal of this paper is to point out the operation issues of SMART-Grid and Off-Grid systems with specific requirements, especially with regard to the protection methods and abnormal operating conditions as well as the possibility of using a Multiagent system for the management and the control of a small Off-Grid system.

Analyses of power quality and voltage variation of photovoltaic power plant connected into 22 kV public grid

Stability of distribution system can be influenced by numerous of installed photovoltaic power plants (PVs). Voltage variations are caused in the connection point of PV due to dynamic variability of power flow from these renewable, but intermittent energy sources. This voltage variation can have wide-spread impact to stability of distribution network, where is PV connected. This paper deals with analysis of one year of PV operation (installed capacity of 1.1 MWp), electric energy flows and voltage variation. By simulation software there will be presented results of voltage variation evaluations and load flow evaluations due to PVs operation into primary distribution network.

Short-circuit protection in Off-Grid system

Renewable sources of electric energy belong to key areas in research and development in recent years. This course leads to the design and development of autonomous power units, which are subject to specific requirements, so-called Off-Grid systems, designed as power supply for energy self-sufficient houses. The specific requirements for Off-Grid systems are: independent of external power supply, maximum efficiency of using the renewable sources, stable generation - consumption balance and opportunities of energy storage. Generally, in most cases, there are mentioned only the benefits and proactive development direction of these concepts, but as usually as with every product, there is no longer mention about the issues related to operations in long time term. The goal of this paper is to point out the operation issues of the Off-Grid systems with specific requirements, especially with regard to the protection methods and abnormal operating conditions such as a short circuit in the isolated network of Off-Grid power system.

Suitable energy storage in Off-Grid systems

Off-Grid systems are used in remote areas, hamlets, caravans, chalets, which are far from the grid, or if the connection was very difficult and economically costly. Such systems operate independently without external power. As a source of power energy are used photovoltaic and small wind power plants installed capacities to generate electricity for their own use. The produced power energy is accumulated in the accumulator. Therefore, the batteries are one of the most important and most expensive part of the Off -Grid system and it is necessary to take into account in the design. The price of batteries is approximately 50% of all costs on an Off -Grid system.

Optimization of distribution system with grid connected PV plant

Connecting of distributed generation of electricity from renewable sources into the grid carries its own risks. These are the so-called negative feedback effect to the operation of electric power system caused by unforeseen stochastic supply of electric power. This paper describes the optimization of devoted power system operation including renewable sources by created so called Solver platform, which is able to suggest an optimal topology connection of power system based on the prediction of power consumption points and generation of electricity from renewable sources.

Monitoring of hybrid system using Labview

This paper deals with monitoring and remote control system, which has been developed on physical platform of family house operated in Off-grid management. Renewable sources of electric energy belong to key areas in research and development in recent years. This course leads to the design and development of autonomous power units, which are subject to specific requirements, so-called SMART GRID system, while the specific requirements are independent of external power supply, maximum efficiency of using the renewable sources, stable generation - consumption balance and opportunities of energy storage. Findings from this newly created monitoring system are presented in following chapters. There are presented developmental direction as well as the area of future vision.

Data Mining Application on Complex Dataset from the Off-Grid Systems

The Off-Grid systems with renewable sources of stochastic behavior’s nature are facing to the issue of keeping the power quality parameters in national and international defined limits. This article aims on this problem by the application of data-mining. There is an attempt to uncover the influence between the variables of the system by synthesis of the classification rules. Next task that has to be solved and it is partly started in this article is to gain the robust strategy to keep this Off-grid systems stable and safety.