Real time grid congestion management in presence of high penetration of wind energy

With the increased use of wind energy the power generation several Transmission System Operators (TSO) have increasing difficulties for congestion forecasting due to the unpredictable nature of the energy source. This paper proposes to enhance the congestion management using a real time supervisor. This supervisor is developed to perform automatic and dynamic re-dispatching using both wind and conventional generators. In order to reduce the production constraints to the minimum, the real time congestion management is based on an indicator of the efficiency of a re-dispatching on the power flowing in the overloaded line. This approach leads to reduced re-dispatching costs and increased network reliability. The simulation of the supervisor and the test grid is realized using by the EUROSTAG [1]. It is shown that the real-time supervisor allows maximization of renewable production during congestions while ensuring network reliability.Power management ;Power transmission;Energy system management;Wind energy ; Variable speed drive

Optimal network congestion management using wind farms

With the increased use of wind energy for the power generation several TSO have increasing difficulties for congestion forecasting due to the unpredictable nature of the energy source. An actual method used to deal with days-ahead congestion planning is based on an order of disconnection of the generation of the type “last generation installed, first generation limited”. This paper proposes to enhance the congestion management using a real time supervisor. This supervisor is developed to perform automatic and dynamic re-dispatching using both wind and conventional generators. In order to reduce the production constraints to the minimum, the real time congestion management is based on an indicator of the efficiency of a re-dispatching on the power flowing in the overloaded line. This approach leads to reduced re-dispatching costs and increased network reliability. Actual and proposed methods are compared in the paper using Matlab/Simulink simulations of a realistic test grid. It is shown that the real-time supervisor allows maximization of renewable production during congestions while ensuring network reliability.Congestion management; Wind farm; Power Transfer Distribution Factors (PTDF); Power system control; Active power dispatch; Variable speed wind turbines.

Teaching With Primary Sources: A Report for Ithaka S + R from Northern Michigan University

During the 2019-2020 academic year, Northern Michigan University (NMU) participated in the ITHAKA S + R Teaching Undergraduates with Primary Sources research study. Catherine Oliver, Metadata and Cataloging Services Librarian, and Marcus C. Robyns, University Archivist, conducted seventeen interviews with NMU faculty from a variety of disciplines on their research and instructional use of primary sources. Oliver and Robyns collected and analyzed qualitative data with the intent on producing a local report. The report concludes with four important recommendations for supporting faculty in teaching with primary sources. The report’s findings cover five major themes identified in the study: Preparation to Teach and Learn; Curation, Sharing, and Digital Formats; Finding and Using Primary Sources; Primary Source Literacy and Critical Thinking Instruction; and Active or Experiential Learning. Each section includes a discussion of several sub-themes. The report wraps up with a summary conclusion of the results and four recommendations