The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Agent based techniques are used to coordinate demand and supply for increasing the embedding capacity of dispersed, badly predictable, renewable energy based power systems. VPPs (Virtual Power Plants) using this technology have demonstrated their feasibility in field tests and currently are scaled up to satisfy requirements for massive rollout [1]. These agent-based VPPs mostly are used in normal...
In this paper two different methods to estimate the proximity of the system to the Maximum Loading Point (MLP) are proposed. They are compared with a specific method recently published that uses the Cubic Spline Extrapolation (CSE) for estimating the MLP. All three methods are based on tracking the Thévenin Equivalent (TE) of the system as seen from the load buses using data from Phasor Measurement...
As power system analysis relies more and more on digital measurement systems, the need of having the correct data stream has become very crucial. Without the insight on the quality of the data, it is very difficult to use the data in different applications -as one might infer wrong information out of the data. A tool has been developed in Alliander with the goal to assert that all links of the data...
The design and implementation of Smart Grids takes usually into account the participation of LV electrical energy consumers (through techniques such as Demand Response). However, there is still a lack of cost effective hardware and software solutions that would allow these consumers to monitor their installation, comprehend their electrical energy consumption, take action towards achieving energy...
Synchrophasors are increasingly being implemented to improve the understanding of network performance. This paper presents the use of voltage and current synchrophasors in the on-line performance monitoring of a transmission line. Line parameters, conductor temperature and sag are continuously derived. Power transfer capability and voltage stability requires minimal additional computational effort...
To prevent critical power system conditions dedicated out-of-step protection schemes are used in high-voltage networks, otherwise referred to as asynchronous operation protection automation. Structure of out-of-step automation is proposed in this paper addressing angular instability between multiple areas of the grid.
A methodology to automate and control a small-scale combined heat and power system (micro-CHP) is proposed. The contribution of this design is to extend the original plant toward micro-CHP system modeling, thus allowing flexible and efficient system through graphical programming. The automation involves the synthesized system analysis; thereby, human intervention is reduced. It builds on LabVIEW™...
World wide the wind power plants are located far away from the existing interconnection substations to the power system. Therefore, compensation methods are considered for the reactance of long distance cable connection. High voltage DC transmission cables for wind power plants interconnection to the grid can also be considered and used. In the present paper, the problems raised by AC cables, from...
This paper discusses the problems of design and implementation of complex set of interconnected online and offline planning, optimization and monitoring tools of Swiss Transmission System Operator Swissgrid. After analyzing the requirements and challenges of the system, the paper presents its realization concept, as well as implementation results and the future plans. Solution under discussion widely...
Recent technological developments have facilitated the emergence of smart grids. In the smart grid perspective, metering and communication functionalities of the grid are greatly enhanced, thus boosting its observability and load management capabilities. This is an ideal scenario which is frequently encountered in contemporary literature. Unfortunately, in reality, operational and financial reasons...
This work is about the in-process visualization of multi-dimensional datasets recorded by compressed event-driven energy metering methods. The main goal of this work is to provide easy visual form to better understand energy transformations caused by real-life processes.
Voltage sags being inherent disturbances to power systems, equipment should be characterized by tolerance curves and grid operators are compelled to report voltage sags. Furthermore, voltage sag responsibility curves are currently being discussed by regulators. This paper condenses relevant information on these subjects, and presents three case-studies. The description and reporting of voltage sags...
The complete integration of the Synchronized Measurement Technology (SMT) in the power systems will bring about fundamental changes to the applications of the control center. One of the natural applications of the SMT is the state estimation. Although the state estimator is used for monitoring the steady state operating condition, it is envisioned that in the near future, a PMU-based state estimator...
Underfrequency load shedding (UFLS) is critical for mitigation of large disturbances on a power grid. There are centralized and distributed UFLS methods. In this paper, the proposed distributed methodology uses a multi-agent system (MAS). The framework and classification of agents are presented. Steps for monitoring, estimation, and distributed computation are developed, implemented, and tested in...
New generations of turbines have lower repair and maintenance costs than the previous generation. This is justified by the development of new components and materials. As the power of newer turbines is usually substantially larger, it is possible to get an economy of scale and lower maintenance costs per kW of rated power. This is simply because it is not needed to service a large turbine more often...
Inter-area oscillations impact negatively on power system stability and power transfer capability. Monitoring oscillations in real time can improve control of the power system. Synchrophasor data from Phasor Measurement Units (PMU) provide new options for oscillation monitoring. In this study, an oscillation monitoring method using synchrophasor data from PMUs is presented. The method is verified...
The use of Information and Communication Technology (ICT)-based power system applications increases continually which poses new engineering challenges regarding the development, validation and management of both - the applications and the intertwined infrastructures. In this paper the need for a joint analysis of power and ICT systems for evaluating smart grid applications is discussed and a systematic...
In this paper, experimental results obtained with two different types of measurement equipment are presented comparatively. One type of equipment is dedicated to power quality monitoring, while the second one is a phasor measurement unit with a supplementary module intended to be used to determine some power quality parameters. Experiments were designed as to emulate different power quality levels...
The overall cable insulation condition can be monitored continuously by the implementation of an on-line partial discharge (PD-OL) monitoring system. It can both detect and locate the sources of PDs and also assess the insulation condition by using past data. The utilization of an accurate electromagnetic transient model is crucial for the accuracy of the system. Therefore, the well known Universal...
In this paper a Distribution State Estimator (DSE) tool suitable for real-time monitoring in poorly characterized low voltage networks is presented. An Autoencoder (AE) properly trained with Extreme Learning Machine (ELM) technique is the “brain” of the DSE. The estimation of system state variables, i.e., voltage magnitudes and phase angles is performed with an Evolutionary Particle Swarm Optimization...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.