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Blacksburg, VA, United States

Dilek M.,Electrical Distribution Design, Inc. | De Leon F.,New York University | Broadwater R.,Virginia Polytechnic Institute and State University | Lee S.,Consolidated Edison Company of New York
IEEE Transactions on Power Systems | Year: 2010

This paper presents a sweep-based three-phase power flow method for solving general distribution networks that can be heavily meshed and include transformers around the meshes/loops. A load-stepping technique is proposed for solving common convergence problems of sweep-based load-flow solvers when dealing with overloaded radial sections. The proposed power-flow algorithm is based on the iterative solution of radial subsystems assembled together with the mesh equations to comply with Kirchhoff equations. The proposed method is robust and efficient for the solution of heavily loaded systems. Examples are presented for illustration. © 2010 IEEE.

Arghandeh R.,University of California at Berkeley | Woyak J.,Electrical Distribution Design, Inc. | Onen A.,Abdullah Gul University | Jung J.,Brookhaven National Laboratory | Broadwater R.P.,Abdullah Gul University
Applied Energy | Year: 2014

Distributed, controllable energy storage devices offer several benefits to electric power system operation. Three such benefits include reducing peak load, providing standby power, and enhancing power quality. These benefits, however, are only realized during peak load or during an outage, events that are infrequent. This paper presents a means of realizing additional benefits by taking advantage of the fluctuating costs of energy in competitive energy markets. An algorithm for optimal charge/discharge scheduling of Community Energy Storage (CES) devices as well as an analysis of several of the key drivers of the optimization are discussed. © 2014 Elsevier Ltd.

Agency: Department of Energy | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 99.29K | Year: 2009

The operation and design of both next generation and conventional power plants will require new simulation approaches that can perform detailed interdependent system analyses at speeds that support real-time operation and control. This project will develop software for an integrated feed water, thermal, steam, and power output model for a conventional steam powered generation plant. If successful, the software will be used to develop a detailed simulation for an Integrated Gasification Combined Cycle (IGCC) plant. The model will be based on Graph Trace Analysis (GTA), which constitutes a new paradigm in integrated system modeling and information management. Commercial Applications and other Benefits as described by the awardee: The use of this technology in modeling experimental and conventional power generation plants should significantly increase the capabilities of the U.S. utility industry. The technology also should find application to the control of a large number of Army, Navy, Homeland Security, and industrial operations.

Agency: Department of Defense | Branch: Army | Program: STTR | Phase: Phase II | Award Amount: 748.69K | Year: 2006

Electrical Distribution Design (EDD), Virginia Tech, Consolidated Edison, Detroit Edison and Sapias propose to develop a web-enabled Distributed Operations Center (DOC) workstation to provide new hazard management analysis capability for coordinating resp

Agency: Department of Defense | Branch: Army | Program: STTR | Phase: Phase I | Award Amount: 99.48K | Year: 2005

Electrical Distribution Design (EDD), Virginia Tech and Detroit Edison propose development of model-based human-genetic and data mining algorithms that can be fully integrated with other operations and design software applications through attachment to a common model. Work will be based on extension of EDD's existing Generic Analysis approach, which is currently being used commercially for power utility system design, control and operations. Generic Analysis combines concepts from Physical Network Modeling, Linear Graph Theory and Generic Programming to provide a system drawing-based architecture that automatically derives complex spatial, functional, temporal and rule-based interdependencies for large reconfigurable systems at speeds that support real-time monitoring and control. The integrated analysis and dynamic information management capabilities this provides is applicable to any steady state or transient process that can be drawn out as a linear graph of interdependent objects with measurable through and across variables. Combining data mining and human-genetic algorithm concepts with Generic Analysis should significantly increase the amount and complexity of hazard information that can be processed, with an equally significant decrease in the amount and quality of data required for implementation of hazard management and emergency supervisory control for very large, integrated utility and public safety systems.

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