Optimal location of gas supply units in natural gas system network

Natural gas industry has been confronted with big challenges: great growth in demand, investments on new GSUs – gas supply units, and efficient technical system management. The right number of GSUs, their best location on networks and the optimal allocation to loads is a decision problem that can be formulated as a combinatorial programming problem, with the objective of minimizing system expenses. Our emphasis is on the formulation, interpretation and development of a solution algorithm that will analyze the trade-off between infrastructure investment expenditure and operating system costs. The location model was applied to a 12 node natural gas network, and its effectiveness was tested in five different operating scenarios.

Scheduling a cutting and treatment stainless steel sheet line with self-management capabilities

With advancement in computer science and information technology, computing systems are becoming increasingly more complex with an increasing number of heterogeneous components. They are thus becoming more difficult to monitor, manage, and maintain. This process has been well known as labor intensive and error prone. In addition, traditional approaches for system management are difficult to keep up with the rapidly changing environments. There is a need for automatic and efficient approaches to monitor and manage complex computing systems. In this paper, we propose an innovative framework for scheduling system management by combining Autonomic Computing (AC) paradigm, Multi-Agent Systems (MAS) and Nature Inspired Optimization Techniques (NIT). Additionally, we consider the resolution of realistic problems. The scheduling of a Cutting and Treatment Stainless Steel Sheet Line will be evaluated. Results show that proposed approach has advantages when compared with other scheduling systems

Energy resources management in three distinct time horizons considering a large variation in wind power

The intensive use of distributed generation based on renewable resources increases the complexity of power systems management, particularly the short-term scheduling. Demand response, storage units and electric and plug-in hybrid vehicles also pose new challenges to the short-term scheduling. However, these distributed energy resources can contribute significantly to turn the shortterm scheduling more efficient and effective improving the power system reliability. This paper proposes a short-term scheduling methodology based on two distinct time horizons: hour-ahead scheduling, and real-time scheduling considering the point of view of one aggregator agent. In each scheduling process, it is necessary to update the generation and consumption operation, and the storage and electric vehicles status. Besides the new operation condition, more accurate forecast values of wind generation and consumption are available, for the resulting of short-term and very short-term methods. In this paper, the aggregator has the main goal of maximizing his profits while, fulfilling the established contracts with the aggregated and external players.

Contextual and Environmental Awareness Laboratory for Energy Consumption Management

The recent changes on power systems paradigm requires the active participation of small and medium players in energy management. With an electricity price fluctuation these players must manage the consumption. Lowering costs and ensuring adequate user comfort levels. Demand response can improve the power system management and bring benefits for the small and medium players. The work presented in this paper, which is developed aiming the smart grid context, can also be used in the current power system paradigm. The proposed system is the combination of several fields of research, namely multi-agent systems and artificial neural networks. This system is physically implemented in our laboratories and it is used daily by researchers. The physical implementation gives the system an improvement in the proof of concept, distancing itself from the conventional systems. This paper presents a case study illustrating the simulation of real-time pricing in a laboratory.

Energy resource scheduling in a real distribution network managed by several virtual power players

Smart Grids (SGs) appeared as the new paradigm for power system management and operation, being designed to integrate large amounts of distributed energy resources. This new paradigm requires a more efficient Energy Resource Management (ERM) and, simultaneously, makes this a more complex problem, due to the intensive use of distributed energy resources (DER), such as distributed generation, active consumers with demand response contracts, and storage units. This paper presents a methodology to address the energy resource scheduling, considering an intensive use of distributed generation and demand response contracts. A case study of a 30 kV real distribution network, including a substation with 6 feeders and 937 buses, is used to demonstrate the effectiveness of the proposed methodology. This network is managed by six virtual power players (VPP) with capability to manage the DER and the distribution network.

Influência da implementação de um sistema de gestão nas concessões rodoviárias

Se a implementação de Sistemas de Gestão dentro dos padrões recomendados pelas normas individuais de referência, já é prática comum nas empresas nacionais, a implementação de Sistemas Integrados de Gestão (SIG), verdadeiramente contidos uns nos outros como um só, é ainda invulgar. Constitui actualmente emblema de modernidade, enquanto aplicado à construção. Estudar todos os meandros e práticas associadas aos SIG, neste pequeno‐grande mundo, que é o das obras concessionadas, é de facto um grande desafio, não tanto pela novidade do conceito que representa, mas pela possibilidade de idealizar uma proposta de uma sistemática exequível, que me proponho apresentar. Assim, este trabalho baseia‐se numa pesquisa de informação teórica, bem como na prática da implementação de um Sistema Integrado numa empresa de referência no sector – a Empresa de Construções Amândio Carvalho, S.A. e neste caso, concretamente na obra ‐ “VRI: Aeroporto/IP4 – Lote 3”. O objectivo geral baseia‐se em diagnosticar as principais dificuldades e limitações enfrentadas por um sector de actividade, na adopção de um modelo específico de gestão da qualidade, ambiente e segurança no trabalho, baseando‐se nas normas de referência, ISO 9001: 2000, ISO 14001:2004 e OHSAS 18001: 2001. Normas estas, que embora agora tenham sido revistas a primeira e a última, na altura em que a obra decorreu, encontravam‐se em vigor. No caso especifico de estudo, comprova‐se a necessidade de implementação de um Sistema único, que atinja o nível de comprometimento dos recursos financeiros e humanos necessários para a execução de obra, respeitando os princípios apresentados pelo cliente. Pretende‐se ainda demonstrar que a adopção de Sistemas “desintegrados”, poderá conduzir ao colapso da estrutura montada para corresponder aos requisitos propostos.

Maximizing the Social Welfare of Virtual Power Players Operation in Case of Excessive Wind Power

The integration of growing amounts of distributed generation in power systems, namely at distribution networks level, has been fostered by energy policies in several countries around the world, including in Europe. This intensive integration of distributed, non-dispatchable, and natural sources based generation (including wind power) has caused several changes in the operation and planning of power systems and of electricity markets. Sometimes the available non-dispatchable generation is higher than the demand. This generation must be used; otherwise it is wasted if not stored or used to supply additional demand. New policies and market rules, as well as new players, are needed in order to competitively integrate all the resources. The methodology proposed in this paper aims at the maximization of the social welfare in a distribution network operated by a virtual power player that aggregates and manages the available energy resources. When facing a situation of excessive non-dispatchable generation, including wind power, real time pricing is applied in order to induce the increase of consumption so that wind curtailment is minimized. This method is especially useful when actual and day-ahead resources forecast differ significantly. The distribution network characteristics and concerns are addressed by including the network constraints in the optimization model. The proposed methodology has been implemented in GAMS optimization tool and its application is illustrated in this paper using a real 937-bus distribution network with 20.310 consumers and 548 distributed generators, some of them non-dispatchable and with must take contracts. The implemented scenario corresponds to a real day in Portuguese power system.

Short-term Load Forecasting Based on Load Profiling

Load forecasting has gradually becoming a major field of research in electricity industry. Therefore, Load forecasting is extremely important for the electric sector under deregulated environment as it provides a useful support to the power system management. Accurate power load forecasting models are required to the operation and planning of a utility company, and they have received increasing attention from researches of this field study. Many mathematical methods have been developed for load forecasting. This work aims to develop and implement a load forecasting method for short-term load forecasting (STLF), based on Holt-Winters exponential smoothing and an artificial neural network (ANN). One of the main contributions of this paper is the application of Holt-Winters exponential smoothing approach to the forecasting problem and, as an evaluation of the past forecasting work, data mining techniques are also applied to short-term Load forecasting. Both ANN and Holt-Winters exponential smoothing approaches are compared and evaluated.

Sistema de Gestão Técnica Aplicado Aos Sistemas de Rega

A cidade do Porto é uma das regiões do país onde é importante uma gestão sustentável e integrada dos recursos hídricos. A (re) utilização de água surge neste contexto como uma possível resposta na sua utilização como um recurso hídrico passível de ser usado beneficamente, permitindo a poupança de fontes de água convencionais e aumentando a disponibilidade dos recursos hídricos existentes para finalidades que requerem padrões de qualidade mais exigentes. O potencial desta prática no nosso país é enorme, considerando que o volume de água tratada descarregada no ano 2000 era suficiente para suprir 10% das necessidades em água para rega num ano seco, sem necessidade de armazenamento sazonal. Por outro lado, um sistema de rega, quando devidamente projetado e funcionando adequadamente, permite que a água seja aplicada com um caudal, duração e frequência que maximizam o consumo da água e nutrientes pela planta. Este projeto consiste no desenvolvimento de um Sistema de Gestão Técnica para o controlo do sistema de rega dos jardins do ISEP – Instituto Politécnico de Engenharia do Porto com recurso a um autómato programável (PLC). Pretende-se otimizar os consumos energéticos do sistema de rega tendo em conta os parâmetros de humidade, temperatura e velocidade do vento característicos do local a regar. Outros dos objetivos é controlar o processo de enchimento e de rega. Esta operação consiste no controlo das bombas e respetivos débitos e conhecimento dos caudais necessários. Pretende-se, igualmente, definir e colocar em marcha todo o equipamento necessário para a realização do projeto. Os dados coletados devem ser tratados de tal modo que possam ser realizadas análises diárias, mensais e/ou anuais. Neste trabalho foram efetuados os cálculos de dimensionamentos relativamente às necessidades hídricas da planta e necessidades de rega, entre outros.

Relatório de Estágio: Análise da eficiência do Sistema de controlo de tráfego da cidade do Porto

No âmbito da unidade curricular Dissertação/Estágio/Projeto, foi desenvolvido, durante um estágio na Câmara Municipal do Porto, o estudo da eficiência do sistema inteligente de controlo de tráfego implementado na cidade. Este sistema é designado como Sistema Inteligente de Gestão Autónoma - SIGA e tem como base de funcionamento o software de gestão de tráfego GERTRUDE da empresa GERTRUDE SAEM. O sistema de controlo de tráfego encontra-se repartido em 10 zonas interligadas, focadas essencialmente no centro da cidade do Porto. O estudo foi aplicado apenas a uma parte da zona da Constituição, nomeadamente a rua da Constituição, desde a Praça Marquês até à rua Antero de Quental. A eficiência mediu-se pela comparação de duas situações, a circulação e comportamento das correntes de tráfego com o sistema em funcionamento normal e com o sistema desativado. Por sua vez, o indicador utilizado que permitiu avaliar o sistema, foi o nível de serviço obtido pelo atraso médio por veículo em cada ramo de cada interseção. Para determinação do atraso, foram testados diferentes métodos, para se tentar perceber qual aquele que melhor se adequava à situação e que exigia menor número de recursos humanos. À frente serão exaradas algumas conclusões acerca da metodologia de cada um deles e condicionantes que levaram à não utilização de todos os métodos. Depois de aplicadas as metodologias que permitiram determinar o nível de serviço em cada grupo semafórico das diferentes interseções, percebeu-se que existe uma grande diferença na circulação entre as duas situações, sendo que a mais-valia que este sistema apresenta é a coordenação das diferentes interseções que se encontram abrangidas pelas 10 zonas pertencentes ao SIGA.

Sistema de Gestão Técnica Aplicado aos Sistemas de Rega

A cidade do Porto é uma das regiões do país onde é importante uma gestão sustentável e integrada dos recursos hídricos. A (re) utilização de água surge neste contexto como uma possível resposta na sua utilização como um recurso hídrico passível de ser usado beneficamente, permitindo a poupança de fontes de água convencionais e aumentando a disponibilidade dos recursos hídricos existentes para finalidades que requerem padrões de qualidade mais exigentes. O potencial desta prática no nosso país é enorme, considerando que o volume de água tratada descarregada no ano 2000 era suficiente para suprir 10% das necessidades em água para rega num ano seco, sem necessidade de armazenamento sazonal. Por outro lado, um sistema de rega, quando devidamente projetado e funcionando adequadamente, permite que a água seja aplicada com um caudal, duração e frequência que maximizam o consumo da água e nutrientes pela planta. Este projeto consiste no desenvolvimento de um Sistema de Gestão Técnica para o controlo do sistema de rega dos jardins do ISEP – Instituto Politécnico de Engenharia do Porto com recurso a um autómato programável (PLC). Pretende-se otimizar os consumos energéticos do sistema de rega tendo em conta os parâmetros de humidade, temperatura e velocidade do vento característicos do local a regar. Outros dos objetivos é controlar o processo de enchimento e de rega. Esta operação consiste no controlo das bombas e respetivos débitos e conhecimento dos caudais necessários. Pretende-se, igualmente, definir e colocar em marcha todo o equipamento necessário para a realização do projeto. Os dados coletados devem ser tratados de tal modo que possam ser realizadas análises diárias, mensais e/ou anuais. Neste trabalho foram efetuados os cálculos de dimensionamentos relativamente às necessidades hídricas da planta e necessidades de rega, entre outros.

Intelligent management of end consumers loads including electric vehicles through a SCADA system

The large penetration of intermittent resources, such as solar and wind generation, involves the use of storage systems in order to improve power system operation. Electric Vehicles (EVs) with gridable capability (V2G) can operate as a means for storing energy. This paper proposes an algorithm to be included in a SCADA (Supervisory Control and Data Acquisition) system, which performs an intelligent management of three types of consumers: domestic, commercial and industrial, that includes the joint management of loads and the charge/discharge of EVs batteries. The proposed methodology has been implemented in a SCADA system developed by the authors of this paper – the SCADA House Intelligent Management (SHIM). Any event in the system, such as a Demand Response (DR) event, triggers the use of an optimization algorithm that performs the optimal energy resources scheduling (including loads and EVs), taking into account the priorities of each load defined by the installation users. A case study considering a specific consumer with several loads and EVs is presented in this paper.

Residential energy resources management by a SCADA system in case of excess wind generation

The end consumers in a smart grid context are seen as active players. The distributed generation resources applied in smart home system as a micro and small-scale systems can be wind generation, photovoltaic and combine heat and power facility. The paper addresses the management of domestic consumer resources, i.e. wind generation, solar photovoltaic, combined heat and power, electric vehicle with gridable capability and loads, in a SCADA system with intelligent methodology to support the user decision in real time. The main goal is to obtain the better management of excess wind generation that may arise in consumer’s distributed generation resources. The optimization methodology is performed in a SCADA House Intelligent Management context and the results are analyzed to validate the SCADA system.

Decision support system with incomplete and domain incoherent information management

Many of the most common human functions such as temporal and non-monotonic reasoning have not yet been fully mapped in developed systems, even though some theoretical breakthroughs have already been accomplished. This is mainly due to the inherent computational complexity of the theoretical approaches. In the particular area of fault diagnosis in power systems however, some systems which tried to solve the problem, have been deployed using methodologies such as production rule based expert systems, neural networks, recognition of chronicles, fuzzy expert systems, etc. SPARSE (from the Portuguese acronym, which means expert system for incident analysis and restoration support) was one of the developed systems and, in the sequence of its development, came the need to cope with incomplete and/or incorrect information as well as the traditional problems for power systems fault diagnosis based on SCADA (supervisory control and data acquisition) information retrieval, namely real-time operation, huge amounts of information, etc. This paper presents an architecture for a decision support system, which can solve the presented problems, using a symbiosis of the event calculus and the default reasoning rule based system paradigms, insuring soft real-time operation with incomplete, incorrect or domain incoherent information handling ability. A prototype implementation of this system is already at work in the control centre of the Portuguese Transmission Network.

Distribution system operation supported by contextual energy resource management based on intelligent SCADA

Future distribution systems will have to deal with an intensive penetration of distributed energy resources ensuring reliable and secure operation according to the smart grid paradigm. SCADA (Supervisory Control and Data Acquisition) is an essential infrastructure for this evolution. This paper proposes a new conceptual design of an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). This SCADA model is used to support the energy resource management undertaken by a distribution network operator (DNO). Resource management considers all the involved costs, power flows, and electricity prices, allowing the use of network reconfiguration and load curtailment. Locational Marginal Prices (LMP) are evaluated and used in specific situations to apply Demand Response (DR) programs on a global or a local basis. The paper includes a case study using a 114 bus distribution network and load demand based on real data.