Abstract:Due to the increasing installation of decentralized generation units and the increasing demand of electrical power on distribution level the low voltage grids in Germany are facing different problems, e.g. deviations of the permitted voltage range or local inner overloads of the grid equipment. To overcome these problems a self-sustaining monitoring and control system for low voltage grids has been developed, which monitors the actual power flow situation and controls individual decentralized generation units … Show more
“…As an economical alternative to the very cost-intensive grid enhancement, smart grid systems represent an innovative solution [2], [3]. Within several research and development projects on smart grid systems, the authors have developed marketable solutions for advanced monitoring and control purposes in distribution networks [4], [5]. Currently the authors are aiming for the development of an integrated and coordinated smart grid system with enhanced operational functions, such as Grid State Forecasting (GSF) as a supportive component [6].…”
Section: Approaches To Cope With the Ongoing Changesmentioning
confidence: 99%
“…While existing smart grid systems are capable of reacting to an already occurred violation only, the prevision of critical situations ensures a higher power quality in distribution systems with more flexibility concerning the strategical options. [4] The choice of suitable actuators for most efficient and economic control purposes will get more flexibility, since even plants with a higher reaction time can be involvedby manual interventions (DSO) or autarkic operation (automation system). Besides the advantages in active grid operation, future energy markets will benefit from forecasting systems, as soon as they provide information about grid capacities in advance.…”
Section: Motivation For State Forecasting In Smart Gridsmentioning
As an initial paper of the author's research and development results on grid state forecasting, a structural and algorithmic approach with a practical scope of application is proposed. The focus is on a modular bottomup concept and a smart time series analysis for implementation purposes on a decentralized autarkic grid automation system.
“…As an economical alternative to the very cost-intensive grid enhancement, smart grid systems represent an innovative solution [2], [3]. Within several research and development projects on smart grid systems, the authors have developed marketable solutions for advanced monitoring and control purposes in distribution networks [4], [5]. Currently the authors are aiming for the development of an integrated and coordinated smart grid system with enhanced operational functions, such as Grid State Forecasting (GSF) as a supportive component [6].…”
Section: Approaches To Cope With the Ongoing Changesmentioning
confidence: 99%
“…While existing smart grid systems are capable of reacting to an already occurred violation only, the prevision of critical situations ensures a higher power quality in distribution systems with more flexibility concerning the strategical options. [4] The choice of suitable actuators for most efficient and economic control purposes will get more flexibility, since even plants with a higher reaction time can be involvedby manual interventions (DSO) or autarkic operation (automation system). Besides the advantages in active grid operation, future energy markets will benefit from forecasting systems, as soon as they provide information about grid capacities in advance.…”
Section: Motivation For State Forecasting In Smart Gridsmentioning
As an initial paper of the author's research and development results on grid state forecasting, a structural and algorithmic approach with a practical scope of application is proposed. The focus is on a modular bottomup concept and a smart time series analysis for implementation purposes on a decentralized autarkic grid automation system.
“…Within most of the existing distribution grids, especially at LV-level but even on MV-level, it is impossible to gather information related to the grid's state, neither for single grid components nor for the whole grid itself. Necessary measurement and surveillance equipment is usually not installed on these voltage levels [4].…”
The ongoing shift towards more decentralized and renewable energy systems requires extensive modifications to existing grids and their operating principles -especially at the distribution level. Besides conventional grid enhancements, smart distribution systems are one way of handling these new supply scenarios and allow for maintaining voltage quality and capacity utilization constraints. The present paper describes an autonomously operating LV-grid automation system that is able to monitor the power flow situation within the LV-grid and to control the grid if necessary by using different actuators. It has been tested within several LV-grids in Germany. Both core modules of the system, the state identification module and the control module, are in the spotlight of this paper.
“…In order to make distribution grids as smart as possible and to support the operator, such changes in topology should be recognized automatically. For this reason, an algorithm has been developed to detect the current topology state [4,5]. With respect to the limited number of switching points, all possible switching states are determined in advance.…”
Section: Automatic Recognition Of Grid Topology Changes After Switchimentioning
The ongoing shift towards a more decentralized and renewable energy system in Germany requires extensive modifications to existing grids and their operating principlesespecially at the distribution level. Furthermore, the integration of e-mobility will have a significant effect on distribution grids. Smart distribution systems are one way of handling these new supply scenarios. Hence, a self-sustaining monitoring and control system for LV-grids has been developed. It monitors the power flow situation and is able to control the grid if necessary. The system has been implemented in four LV-grids in Germany. The present paper describes the automation system and our initial experience with this smart grid approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.