38,578 research outputs found
Computational approaches for voltage stability monitoring and control in power systems
The electric power grid is a complex, non-linear, non-stationary system comprising of thousands of components such as generators, transformers, transmission lines and advanced power electronics based control devices, and customer loads. The complexity of the grid has been further increased by the introduction of smart grid technologies. Smart grid technology adds to the traditional power grids advanced methods of communication, computation and control as well as increased use of renewable energy sources such as wind and solar farms and a higher penetration of plug-in electric vehicles among others. The smart grid has resulted in much more distributed generation, bi-directional powerflows between customers and the grid, and the semi-autonomous control of subsystems. Due to this added complexity of the grid and the need to maintain reliable, quality, efficient, economical, and environmentally friendly power supply, advanced monitoring and control technologies are needed for real-time operation of various systems that integrate into the transmission and distribution network.
In this dissertation, the development of computational intelligence methods for on-line monitoring of voltage stability in a power system is presented. In order to carry out on-line assessment of voltage stability, data from Phasor Measurement Units (PMUs) is utilized. An intelligent algorithm for optimal location of PMUs for voltage stability monitoring is developed. PMU information is used for estimation of voltage stability load index in a power system with plug-in electric vehicle and wind farm included. The estimated voltage stability index is applied in the development of an adaptive dynamic programming based optimal secondary voltage controller to coordinate the reactive power capability of two FACTS devices --Abstract, page iii
Practical applications of multi-agent systems in electric power systems
The transformation of energy networks from passive to active systems requires the embedding of intelligence within the network. One suitable approach to integrating distributed intelligent systems is multi-agent systems technology, where components of functionality run as autonomous agents capable of interaction through messaging. This provides loose coupling between components that can benefit the complex systems envisioned for the smart grid. This paper reviews the key milestones of demonstrated agent systems in the power industry and considers which aspects of agent design must still be addressed for widespread application of agent technology to occur
Autonomous Mobility and Energy Service Management in Future Smart Cities: An Overview
With the rise of transportation electrification, autonomous driving and
shared mobility in urban mobility systems, and increasing penetrations of
distributed energy resources and autonomous demand-side management techniques
in energy systems, tremendous opportunities, as well as challenges, are
emerging in the forging of a sustainable and converged urban mobility and
energy future. This paper is motivated by these disruptive transformations and
gives an overview of managing autonomous mobility and energy services in future
smart cities. First, we propose a three-layer architecture for the convergence
of future mobility and energy systems. For each layer, we give a brief overview
of the disruptive transformations that directly contribute to the rise of
autonomous mobility-on-demand (AMoD) systems. Second, we propose the concept of
autonomous flexibility-on-demand (AFoD), as an energy service platform built
directly on existing infrastructures of AMoD systems. In the vision of AFoD,
autonomous electric vehicles provide charging flexibilities as a service on
demand in energy systems. Third, we analyze and compare AMoD and AFoD, and we
identify four key decisions that, if appropriately coordinated, will create a
synergy between AMoD and AFoD. Finally, we discuss key challenges towards the
success of AMoD and AFoD in future smart cities and present some key research
directions regarding the system-wide coordination between AMoD and AFoD.Comment: 19 pages, 4 figure
The role of intelligent systems in delivering the smart grid
The development of "smart" or "intelligent" energy networks has been proposed by both EPRI's IntelliGrid initiative and the European SmartGrids Technology Platform as a key step in meeting our future energy needs. A central challenge in delivering the energy networks of the future is the judicious selection and development of an appropriate set of technologies and techniques which will form "a toolbox of proven technical solutions". This paper considers functionality required to deliver key parts of the Smart Grid vision of future energy networks. The role of intelligent systems in providing these networks with the requisite decision-making functionality is discussed. In addition to that functionality, the paper considers the role of intelligent systems, in particular multi-agent systems, in providing flexible and extensible architectures for deploying intelligence within the Smart Grid. Beyond exploiting intelligent systems as architectural elements of the Smart Grid, with the purpose of meeting a set of engineering requirements, the role of intelligent systems as a tool for understanding what those requirements are in the first instance, is also briefly discussed
Smart Grid Technologies in Europe: An Overview
The old electricity network infrastructure has proven to be inadequate, with respect to modern challenges such as alternative energy sources, electricity demand and energy saving policies. Moreover, Information and Communication Technologies (ICT) seem to have reached an adequate level of reliability and flexibility in order to support a new concept of electricity network—the smart grid. In this work, we will analyse the state-of-the-art of smart grids, in their technical, management, security, and optimization aspects. We will also provide a brief overview of the regulatory aspects involved in the development of a smart grid, mainly from the viewpoint of the European Unio
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