Cyber-physical intelligence in the context of power systems

Cyber-Physical Intelligence is a new concept integrating Cyber-Physical Systems and Intelligent Systems. The paradigm is centered in incorporating intelligent behavior in cyber-physical systems, until now too oriented to the operational technological aspects. In this paper we will describe the use of Cyber-Physical Intelligence in the context of Power Systems, namely in the use of Intelligent SCADA (Supervisory Control and Data Acquisition) systems at different levels of the Power System, from the Power Generation, Transmission, and Distribution Control Centers till the customers houses.

Cyber-ambient intelligent training of operators in power systems control centres

Cyber-Physical Systems and Ambient Intelligence are two of the most important and emerging paradigms of our days. The introduction of renewable sources gave origin to a completely different dimension of the distribution generation problem. On the other hand, Electricity Markets introduced a different dimension in the complexity, the economic dimension. Our goal is to study how to proceed with the Intelligent Training of Operators in Power Systems Control Centres, considering the new reality of Renewable Sources, Distributed Generation, and Electricity Markets, under the emerging paradigms of Cyber-Physical Systems and Ambient Intelligence. We propose Intelligent Tutoring Systems as the approach to deal with the intelligent training of operators in these new circumstances.

Intelligent SCADA for load control

A supervisory control and data acquisition (SCADA) system is an integrated platform that incorporates several components and it has been applied in the field of power systems and several engineering applications to monitor, operate and control a lot of processes. In the future electrical networks, SCADA systems are essential for an intelligent management of resources like distributed generation and demand response, implemented in the smart grid context. This paper presents a SCADA system for a typical residential house. The application is implemented on MOVICON™11 software. The main objective is to manage the residential consumption, reducing or curtailing loads to keep the power consumption in or below a specified setpoint, imposed by the costumer and the generation availability.

The cross crypto scheme cipher integration for securing SCADA component communication

Critical Infrastructures became more vulnerable to attacks from adversaries as SCADA systems become connected to the Internet. The open standards for SCADA Communications make it very easy for attackers to gain in-depth knowledge about the working and operations of SCADA networks. A number of Intenrnet SCADA security issues were raised that have compromised the authenticity, confidentiality, integrity and non-repudiation of information transfer between SCADA Components. This paper presents an integration of the Cross Crypto Scheme Cipher to secure communications for SCADA components. The proposed scheme integrates both the best features of symmetric and asymmetric encryptiontechniques. It also utilizes the MD5 hashing algorithm to ensure the integrity of information being transmitted.

An agent based architecture to support monitoring in plug and produce manufacturing systems using knowledge extraction

In recent years a set of production paradigms were proposed in order to capacitate manufacturers to meet the new market requirements, such as the shift in demand for highly customized products resulting in a shorter product life cycle, rather than the traditional mass production standardized consumables. These new paradigms advocate solutions capable of facing these requirements, empowering manufacturing systems with a high capacity to adapt along with elevated flexibility and robustness in order to deal with disturbances, like unexpected orders or malfunctions. Evolvable Production Systems propose a solution based on the usage of modularity and self-organization with a fine granularity level, supporting pluggability and in this way allowing companies to add and/or remove components during execution without any extra re-programming effort. However, current monitoring software was not designed to fully support these characteristics, being commonly based on centralized SCADA systems, incapable of re-adapting during execution to the unexpected plugging/unplugging of devices nor changes in the entire system’s topology. Considering these aspects, the work developed for this thesis encompasses a fully distributed agent-based architecture, capable of performing knowledge extraction at different levels of abstraction without sacrificing the capacity to add and/or remove monitoring entities, responsible for data extraction and analysis, during runtime.

Implementació d’un sistema SCADA a la cèl·lula de fabricació flexible MPS+2000C

L’Escola Politècnica Superior de la Universitat de Vic disposa d’una cèl·lula de fabricació flexible del fabricant Festo, que simula un procés d’emmagatzematge automàtic, aquesta cèl·lula esta composta per quatre estacions de muntatge diferenciades i independents, l’estació palets, l’estació plaques, l’estació magatzem intermedi i l’estació transport. Cada una d’aquestes estacions està formada per sensors i actuadors elèctrics i pneumàtics del fabricant Festo que van connectats a un PLC SIEMENS S7-300.Els quatre PLC’s (un per cada estació) estan connectats entre ells mitjançant el bus de comunicacions industrials Profibus. L’objectiu d’aquest treball consisteix en l’adaptació de la programació dels PLC’s i la realització d’un SCADA per tal de controlar el funcionament del conjunt de la cèl·lula de fabricació a través del software Vijeo Citect, d’aquesta manera es coneixerà el funcionament de la cèl·lula i permetrà treure’n rendiment per la docència. Aquest projecte ha estat realitzat en quatre fases principals. 1. Estudi i coneixement de les estacions, en aquesta fase s’han estudiat els manuals de funcionament de les estacions i s’han interpretat els codis de programació dels seus PLCs, amb l’objectiu de conèixer bé el programa per tal de interaccionar-hi més endavant amb el sistema SCADA 2. Disseny i programació del sistema SCADA, en aquesta fase s’ha realitzat tot el disseny gràfic de les pantalles de la interfície SCADA així com la programació dels objectes, la connexió amb els PLCs i la base de dades. 3. Posada en marxa del sistema complert, quan es coneixia abastament el funcionament de les estacions i el sistema SCADA estava completat s’ha fet la posada en marxa del conjunt i s’ha comprovat el correcte funcionament i interacció dels sistemes. 4. Realització de la memòria del projecte, en aquesta ultima fase s’ha realitzat la memòria del projecte on s’expliquen les característiques i funcionament de totes les estacions i del sistema SCADA. La conclusió més rellevant obtinguda en aquest treball, és la clara visualització de la potència i simplicitat que han aportat els sistemes SCADA al món de l’automatització, anys enrere per la supervisió de l’estat d’un sistema automatitzat era necessari disposar d’un gran espai amb grans panells de control formats per una gran quantitat de pilots lluminosos, potenciòmetres, interruptors, polsadors, displays i sobretot un voluminós i complexa cablejat, gràcies als sistemes SCADA avui en dia tot això pot quedar reduït a un PC o terminal tàctil, amb pantalles gràfiques clares i una gran quantitat d’opcions de supervisió control i configuració del sistema automatitzat.

Experimentos de mineração de dados aplicados a sistemas scada de usinas hidrelétricas

O atual modelo do setor elétrico brasileiro permite igualdade de condições a todos os agentes e reduz o papel do Estado no setor. Esse modelo obriga as empresas do setor a melhorarem cada vez mais a qualidade de seu produto e, como requisito para este objetivo, devem fazer uso mais efetivo da enorme quantidade de dados operacionais que são armazenados em bancos de dados, provenientes da operação dos seus sistemas elétricos e que tem nas Usinas Hidrelétricas (UHE) a sua principal fonte de geração de energia. Uma das principais ferramentas para gerenciamento dessas usinas são os sistemas de Supervisão, Controle e Aquisição de Dados (Supervisory Control And Data Acquisition - SCADA). Assim, a imensa quantidade de dados acumulados nos bancos de dados pelos sistemas SCADA, muito provavelmente contendo informações relevantes, deve ser tratada para descobrir relações e padrões e assim ajudar na compreensão de muitos aspectos operacionais importantes e avaliar o desempenho dos sistemas elétricos de potência. O processo de Descoberta de Conhecimento em Banco de Dados (Knowledge Discovery in Database - KDD) é o processo de identificar, em grandes conjuntos de dados, padrões que sejam válidos, novos, úteis e compreensíveis, para melhorar o entendimento de um problema ou um procedimento de tomada de decisão. A Mineração de Dados (ou Data Mining) é o passo dentro do KDD que permite extrair informações úteis em grandes bases de dados. Neste cenário, o presente trabalho se propõe a realizar experimentos de mineração de dados nos dados gerados por sistemas SCADA em UHE, a fim de produzir informações relevantes para auxiliar no planejamento, operação, manutenção e segurança das hidrelétricas e na implantação da cultura da mineração de dados aplicada a estas usinas.

Near Real-Time Detection Of Pipe Bursts in Water Distribution Systems

The research work presented in the thesis describes a new methodology for the automated near real-time detection of pipe bursts in Water Distribution Systems (WDSs). The methodology analyses the pressure/flow data gathered by means of SCADA systems in order to extract useful informations that go beyond the simple and usual monitoring type activities and/or regulatory reporting , enabling the water company to proactively manage the WDSs sections. The work has an interdisciplinary nature covering AI techniques and WDSs management processes such as data collection, manipulation and analysis for event detection. Indeed, the methodology makes use of (i) Artificial Neural Network (ANN) for the short-term forecasting of future pressure/flow signal values and (ii) Rule-based Model for bursts detection at sensor and district level. The results of applying the new methodology to a District Metered Area in Emilia- Romagna’s region, Italy have also been reported in the thesis. The results gathered illustrate how the methodology is capable to detect the aforementioned failure events in fast and reliable manner. The methodology guarantees the water companies to save water, energy, money and therefore enhance them to achieve higher levels of operational efficiency, a compliance with the current regulations and, last but not least, an improvement of customer service.

Multidimensional Intrusion Detection System for IEC 61850 based SCADA Networks

Emerging cybersecurity vulnerabilities in supervisory control and data acquisition (SCADA) systems are becoming urgent engineering issues for modern substations. This paper proposes a novel intrusion detection system (IDS) tailored for cybersecurity of IEC 61850 based substations. The proposed IDS integrates physical knowledge, protocol specifications and logical behaviours to provide a comprehensive and effective solution that is able to mitigate various cyberattacks. The proposed approach comprises access control detection, protocol whitelisting, model-based detection, and multi-parameter based detection. This SCADA-specific IDS is implemented and validated using a comprehensive and realistic cyber-physical test-bed and data from a real 500kV smart substation.

Intelligent behavior in a Cyber-Ambient training system for control center operators

This paper deals with the application of an intelligent tutoring approach to delivery training in diagnosis procedures of a Power System. In particular, the mechanisms implemented by the training tool to support the trainees are detailed. This tool is part of an architecture conceived to integrate Power Systems tools in a Power System Control Centre, based on an Ambient Intelligent paradigm. The present work is integrated in the CITOPSY project which main goal is to achieve a better integration between operators and control room applications, considering the needs of people, customizing requirements and forecasting behaviors.

Intelligent training in control centres based on an ambient intelligence paradigm

This article describes a new approach in the Intelligent Training of Operators in Power Systems Control Centres, considering the new reality of Renewable Sources, Distributed Generation, and Electricity Markets, under the emerging paradigms of Cyber-Physical Systems and Ambient Intelligence. We propose Intelligent Tutoring Systems as the approach to deal with the intelligent training of operators in these new circumstances.

Desenvolvimento de Aplicação para a Otimização de Processo Produtivo

Empreendimentos industriais requerem o acompanhamento completo e preciso de dados de máquinas em tempo real, integrando as atividades do chão de fábrica com a engenharia, suporte e negócios. É reconhecido que sistemas de monitorização são fundamentais para melhorar a qualidade do produto, reduzir os tempos e para a adaptação rápida às mudanças de produção. Os sensores de processos possuem custos altos, não são compactos e são de difícil implementação. Portanto, seria estratégico desenvolver sistemas de monitorização que usufruem ao máximo dos recursos já existentes nas máquinas e ferramentas e que não representem custos adicionais elevados e de difícil implementação. O uso de PLC nas indústrias é crescente. Estes mostram-se como ferramentas potenciais para atender a estas exigências. Os PLC possuem os recursos necessários para a aquisição de informações e controlo das máquinas, facilitando a interação com um sistema SCADA. O objetivo do presente trabalho é pesquisar soluções sobre sistemas de monitorização que possam substituir um sistema instalado antiquado e encontrar uma solução para o controlo de um processo de vazamento. Para tal, foram consideradas duas soluções: uma passaria por desenvolver um sistema de monitorização que controlasse o processo de vazamento, e outra que permitisse ser o PLC a fazer o controlo, adquirindo um HMI apenas para monitorização. Esta última solução revelou-se como a melhor, visto que um PLC tem mais durabilidade em relação a um PC, em termos de atualizações de hardware e software. Assim, foram criadas funções no PLC para fazer o controlo de vazamento e foi adquirido uma consola Beijer, e respetivo software de programação SCADA, para a criação do sistema de monitorização. Os resultados mostram que o PLC é capaz de executar o controlo, não sendo necessário investir em PC que são mais caros, bastando para isso adquirir sistemas SCADA simples e capazes.

Expert supervision based on cases

The paper focuses on taking advantage of large amounts of data that are systematically stored in plants (by means of SCADA systems), but not exploited enough in order to achieve supervisory goals (fault detection, diagnosis and reconfiguration). The methodology of case base reasoning (CBR) is proposed to perform supervisory tasks in industrial processes by re-using the stored data. The goal is to take advantage of experiences, registered in a suitable structure as cam, avoiding the tedious task of knowledge acquisition and representation needed by other reasoning techniques as expert systems. An outlook of CBR terminology and basic concepts are presented. The adaptation of CBR in performing expert supervisory tasks, taking into account the particularities and difficulties derived from dynamic systems, is discussed. A special interest is focused in proposing a general case definition suitable for supervisory tasks. Finally, this structure and the whole methodology is tested in a application example for monitoring a real drier chamber

Expert supervision based on cases

The paper focuses on taking advantage of large amounts of data that are systematically stored in plants (by means of SCADA systems), but not exploited enough in order to achieve supervisory goals (fault detection, diagnosis and reconfiguration). The methodology of case base reasoning (CBR) is proposed to perform supervisory tasks in industrial processes by re-using the stored data. The goal is to take advantage of experiences, registered in a suitable structure as cam, avoiding the tedious task of knowledge acquisition and representation needed by other reasoning techniques as expert systems. An outlook of CBR terminology and basic concepts are presented. The adaptation of CBR in performing expert supervisory tasks, taking into account the particularities and difficulties derived from dynamic systems, is discussed. A special interest is focused in proposing a general case definition suitable for supervisory tasks. Finally, this structure and the whole methodology is tested in a application example for monitoring a real drier chamber

Fault section estimation in automated distribution substations

In this paper, a methodology based on Unconstrained Binary Programming (UBP) model and Genetic Algorithms (GAs) is proposed for estimating fault sections in automated distribution substations. The UBP model, established by using the parsimonious set covering theory, looks for the match between the relays' protective alarms informed by the SCADA system and their expected states. The GA is developed to minimize the UBP model and estimate the fault sections in a swift and reliable manner. The proposed methodology is tested by utilizing a real-life automated distribution substation. Control parameters of the GA are tuned to achieve maximum computational efficiency and reduction of processing time. Results show the potential and efficiency of the methodology for estimating fault section in real-time at Distribution Control Centers. ©2009 IEEE.