Joe H. Chow

Bio: Joe H. Chow is an academic researcher from Rensselaer Polytechnic Institute. The author has contributed to research in topics: Electric power system & Phasor. The author has an hindex of 54, co-authored 348 publications receiving 10079 citations. Previous affiliations of Joe H. Chow include General Electric & Kuwait University.

A toolbox for power system dynamics and control engineering education and research

Abstract: The design concept and use of the power system toolbox (PST), a Matlab-based power system dynamics simulation and control design package, are discussed. The motivation for developing the package was to provide a flexible environment for teaching power system simulation techniques and control design concepts to advanced undergraduate and graduate students, and for graduate students to perform research and development on power systems. The authors discuss the capabilities of PST and the software development philosophy. Sample applications are given. Some potential educational usage is suggested. The future enhancement to the package is outlined. >

Time-Scale Modeling of Dynamic Networks with Applications to Power Systems

Abstract: Time-scales in interconnected systems.- Singular perturbations and time-scales.- Modeling of two-time-scale systems.- Dynamic networks and area aggregation.- Coherency and area identification.- Slow coherency and weak connections.- Nonlinear dynamic networks.- Reduced simulations of nonlinear power system models.

Concepts for design of FACTS controllers to damp power swings

Abstract: The design of controllers sited in the transmission network for damping interarea power oscillations requires several types of analytical tools and field verification methods. Probably the most important aspect of such control design is the selection of proper feedback measurements from the network. This paper describes concepts which provide design engineers with the insight to control performance and the understanding needed to ensure the secure operation of the bulk transmission system. Specific attention is directed to procedures for selecting feedback signals. >

A decomposition of near-optimum regulators for systems with slow and fast modes

Abstract: For systems with slow and fast subsystems a near-optimum state regulator is composed of two subsystem regulators. Conditions for complete separation of slow and fast regulator designs are formulated. A second order approximation of the optimal performance is achieved without the Knowledge of the small singular perturbation parameter.

Review of Challenges and Research Opportunities for Voltage Control in Smart Grids

Abstract: In this paper, we review the emerging challenges and research opportunities for voltage control in smart grids. For transmission grids, the voltage control for accommodating wind and solar power, fault-induced delayed voltage recovery, and measurement-based Thevenin equivalent for voltage stability analysis are reviewed. For distribution grids, the impact of high penetration of distributed energy resources is analyzed, typical control strategies are reviewed, and the challenges for local inverter Volt–Var control is discussed. In addition, the motivation, state-of-the-art, and future directions of the coordination of transmission system operators (TSO) and distribution system operators (DSO) are also thoroughly discussed.

Smart Grid — The New and Improved Power Grid: A Survey

Abstract: The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. In this article, we survey the literature till 2011 on the enabling technologies for the Smart Grid. We explore three major systems, namely the smart infrastructure system, the smart management system, and the smart protection system. We also propose possible future directions in each system. colorred{Specifically, for the smart infrastructure system, we explore the smart energy subsystem, the smart information subsystem, and the smart communication subsystem.} For the smart management system, we explore various management objectives, such as improving energy efficiency, profiling demand, maximizing utility, reducing cost, and controlling emission. We also explore various management methods to achieve these objectives. For the smart protection system, we explore various failure protection mechanisms which improve the reliability of the Smart Grid, and explore the security and privacy issues in the Smart Grid.