E. Michta

Elastic model of energy management in micro smart grid

In modern electric power systems (EPS) solutions based on advanced metering infrastructure (AMI) are required. The data collected by AMI could help to detect an emergency situations in EPS. AMI two way communications allows both to collect measuring data and control devices referred to as a nodes. Nodes providing control and measurement functions create a smart grid (SG). The smart grid nodes are appliances, power generation and storage capacity. In the case of power storage, these nodes can also take power, in the case of having to be recharged. Analysis of all possible power combining, for all three categories of nodes in even micro SG (MSG) may not be feasible due to time. A novel approach to the power management in MSG by use of an elastic management energy model have been presented in the paper.

Communication structures and data processing in AMI systems

According to EC directives and widely accepted ESMIG (European Smart Metering Interest Group) communication model, AMI (Advanced Metering Infrastructure) system should provide bi-directional and secure communications via standard interfaces and with the standard data format, between utility service providers and digital meters and two-way communication between meters and customers. While the solution of a two-way communication between digital meters and service providers is now not too much problem, proposing a solution to meet the second requirement is not so obvious. The problem is not due to lack of technical capacity, but some of the consequences of proposed solutions. This paper presents the chosen communication structures dedicated to AMI system and scalability to ensure that they will be ready to introduce the concept of distributed processing for individual structures. Measurement data processing strategy is another dilemma in AMI systems. Due to the fact that these systems will provide the basis for Smart Grids, the solutions to the measurement data that will be used not only for billing purposes, has a significant impact on the reliability of the whole system and affects the load paths of communication.

Load Shedding Analysis in Local Energy Management Systems

In the paper load shedding time analysis in Buildings Energy Management Systems are presented. Influence of the communication system structures on the data exchange duration is analysed and its results for a few communication structures are presented. Streszczenie. W artykule przedstawiono analizy czasowe operacji redukcji obciążenia w budynkowych systemach zarządzania energią. Przeanalizowano wpływ struktury systemów komunikacyjnych na czas trwania wymiany danych wraz z wynikami dla kilku przykładów struktur. (Analizy czasu zrzutu obciążenia w lokalnych systemach zarządzania energią)

IoT-based flood embankments monitoring system

In the paper a concept of flood embankments monitoring system based on using Internet of Things approach and Cloud Computing technologies will be presented. The proposed system consists of sensors, IoT nodes, Gateways and Cloud based services. Nodes communicates with the sensors measuring certain physical parameters describing the state of the embankments and communicates with the Gateways. Gateways are specialized active devices responsible for direct communication with the nodes, collecting sensor data, preprocess the data, applying local rules and communicate with the Cloud Services using communication API delivered by cloud services providers. Architecture of all of the system components will be proposed consisting IoT devices functionalities description, their communication model, software modules and services bases on using a public cloud computing platform like Microsoft Azure will be proposed. The most important aspects of maintaining the communication in a secure way will be shown.

Communication structures and time dependency analysis in Buildings Energy Management Systems

In the paper time analysis of the data communication in Buildings Energy Management Systems are presented. Influence of the communication system structures on the data exchange duration is analysed and its results for a few communication structures are presented.

Simulation of Distributed Measurement-Control Systems

We present a solution of the distributed measurement-control system (DMCS) simulator. The DMCS simulation model is based on action reviewing and event planning method. This models allows to carry out simulation researches of DMCS in a wide range e.g. influence of the number and kind of system tasks on DMCS feature or influence of a system and node structure on DMCS performance. The DMCS communication model, simulator structure, results of a simulation and method of the DMCS simulator verification are described.

173 Scheduling Systems

Application of the scheduling theory to the design of a distributed, real-time networked measurement–control system is presented. Review of the priority-based scheduling theory for the fixed priority assignment, system and task models, and application example are outlined. Emphasis is given to the processor and network utilization-based test and to the tasks worst-case response time analysis. The same analysis approaches for task scheduling on single processor node and message scheduling across the network will be used. During the designing stage, scheduling of resources is decoupled and scheduling of each node and network is analyzed independently.