James A. Momoh

Bio: James A. Momoh is an academic researcher from Howard University. The author has contributed to research in topics: Electric power system & Smart grid. The author has an hindex of 25, co-authored 157 publications receiving 4743 citations. Previous affiliations of James A. Momoh include University of Washington & National Science Foundation.

A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches

Abstract: The paper presents a review of literature on optimal power flow tracing progress in this area over from 1962-93. Part I deals with the application of nonlinear and quadratic programming.

A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods

Abstract: For pt.II see ibid., vol.14, no.1, p.96-104 (1999). This second of a two part paper offers a survey of literature on optimal power flow from 1968-93. This part treats Newton-based, linear programming and interior point methods of solution.

Electric Power System Applications of Optimization

Abstract: Electric power system models power flow computation constrained optimization and applications linear programming and applications interior point methods non-linear programming dynamic programming Lagrange relaxation decomposition method optimal power flow unit commitment genetic algorithm epilogue.

Smart Grid: Fundamentals of Design and Analysis

Abstract: Smart GridSmart Grid StandardsIntelligent Systems for Stability Assessment and Control of Smart Power GridsSmart GridsOptimization of Smart Grid Design, Operations, and ManagementPractical Guidance for Defining a Smart Grid Modernization StrategyPower System FundamentalsCases on Green Energy and Sustainable DevelopmentEnergy Processing and Smart GridControl of Power Inverters in Renewable Energy and Smart Grid IntegrationSmart GridThe Advanced Smart Grid: Edge Power Driving Sustainability, Second EditionDesign of Smart Power Grid Renewable Energy SystemsMicrogrids Design and ImplementationIntegration of Renewable Energy Sources with Smart GridResearch Anthology on Smart Grid and Microgrid DevelopmentHybrid Intelligence for Smart Grid SystemsDesign, Modeling and Evaluation of Protective Relays for Power SystemsSmart Grid Applications, Communications, and SecuritySmart Grids – Fundamentals and Technologies in Electricity NetworksSmart Energy Grid EngineeringA Smarter, Greener Grid: Forging Environmental Progress through Smart Energy Policies and TechnologiesSmart GridsHybrid Intelligence for Smart Grid SystemsLocal Electricity MarketsComputational Methodologies for Electrical and Electronics EngineersSmart GridThe Smart GridCommunication and Networking in Smart GridsSmart Grid SystemsPower Systems Signal Processing for Smart GridsAdvances in Smart Grid Power SystemSmart Grid and Enabling TechnologiesPower System SCADA and Smart GridsPower Line CommunicationsSmart GridMicrogridsHarmonics, Power Systems, and Smart GridsIoT for Smart GridsGrid Systems

Smart grid design for efficient and flexible power networks operation and control

Abstract: The modernization of the US electric power infrastructure, especially in lieu of its aging, overstressed networks; shifts in social, energy and environmental policies, and also new vulnerabilities, is a national concern. Our system are required to be more adaptive and secure more than every before. Consumers are also demanding increased power quality and reliability of supply and delivery. As such, power industries, government and national laboratories and consortia have developed increased interest in what is now called the Smart Grid of the future. The paper outlines Smart Grid intelligent functions that advance interactions of agents such as telecommunication, control, and optimization to achieve adaptability, self-healing, efficiency and reliability of power systems. The author also presents a special case for the development of Dynamic Stochastic Optimal Power Flow (DSOPF) technology as a tool needed in Smart Grid design. The integration of DSOPF to achieve the design goals with advanced DMS capabilities are discussed herein. This reference paper also outlines research focus for developing next generation of advance tools for efficient and flexible power systems operation and control.

Zero Duality Gap in Optimal Power Flow Problem

Abstract: The optimal power flow (OPF) problem is nonconvex and generally hard to solve. In this paper, we propose a semidefinite programming (SDP) optimization, which is the dual of an equivalent form of the OPF problem. A global optimum solution to the OPF problem can be retrieved from a solution of this convex dual problem whenever the duality gap is zero. A necessary and sufficient condition is provided in this paper to guarantee the existence of no duality gap for the OPF problem. This condition is satisfied by the standard IEEE benchmark systems with 14, 30, 57, 118, and 300 buses as well as several randomly generated systems. Since this condition is hard to study, a sufficient zero-duality-gap condition is also derived. This sufficient condition holds for IEEE systems after small resistance (10-5 per unit) is added to every transformer that originally assumes zero resistance. We investigate this sufficient condition and justify that it holds widely in practice. The main underlying reason for the successful convexification of the OPF problem can be traced back to the modeling of transformers and transmission lines as well as the non-negativity of physical quantities such as resistance and inductance.