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Convexity of Energy-Like Functions: Theoretical Results and Applications to Power System Operations

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TLDR
In this article, a new look at power systems, focusing on an aspect that has previously received little attention: convexity, was taken into account and the authors characterized the domain of voltage magnitudes and phases within which the energy function is convex in these variables.
Abstract
Power systems are undergoing unprecedented transformations with increased adoption of renewables and distributed generation, as well as the adoption of demand response programs. All of these changes, while making the grid more responsive and potentially more efficient, pose significant challenges for power systems operators. Conventional operational paradigms are no longer sufficient as the power system may no longer have big dispatchable generators with sufficient positive and negative reserves. This increases the need for tools and algorithms that can efficiently predict safe regions of operation of the power system. In this paper, we study energy functions as a tool to design algorithms for various operational problems in power systems. These have a long history in power systems and have been primarily applied to transient stability problems. In this paper, we take a new look at power systems, focusing on an aspect that has previously received little attention: Convexity. We characterize the domain of voltage magnitudes and phases within which the energy function is convex in these variables. We show that this corresponds naturally with standard operational constraints imposed in power systems. We show that power of equations can be solved using this approach, as long as the solution lies within themore » convexity domain. We outline various desirable properties of solutions in the convexity domain and present simple numerical illustrations supporting our results.« less

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Citations
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Journal ArticleDOI

Energy function analysis for power system stability

TL;DR: In this paper, the authors present an energy fundiment analysis for power system stability, focusing on the reliability of the power system and its reliability in terms of power system performance and reliability.
Book

A Survey of Relaxations and Approximations of the Power Flow Equations

TL;DR: This monograph provides the first comprehensive survey of representations in the context of optimization of the power flow equations, categorized as either relaxations or approximations.
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Real-Time Optimal Power Flow

TL;DR: This paper builds on recent work to develop a real-time algorithm for AC optimal power flow, based on quasi-Newton methods, that uses second-order information to provide suboptimal solutions on a fast timescale, and can be shown to track the optimalPower flow solution when the estimated second- order information is sufficiently accurate.
Journal ArticleDOI

Bregman Storage Functions for Microgrid Control

TL;DR: In this paper, a theoretical framework for the analysis and control of a coupled microgrid is presented, where an energy function comprising the kinetic energy associated with the elements that emulate the rotating machinery and terms taking into account the reactive power stored in the lines and dissipated on shunt elements is constructed.
Posted Content

Bregman storage functions for microgrid control

TL;DR: In this paper, an incremental energy analysis framework is proposed for a coupled microgrid with an adjustable voltage-dependent term, and a complete Lyapunov stability analysis of the various systems is carried out along with a discussion on their active and reactive power sharing properties.
References
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Journal ArticleDOI

MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

TL;DR: The details of the network modeling and problem formulations used by MATPOWER, including its extensible OPF architecture, are presented, which are used internally to implement several extensions to the standard OPF problem, including piece-wise linear cost functions, dispatchable loads, generator capability curves, and branch angle difference limits.
Book

Energy function analysis for power system stability

M.A. Pai
TL;DR: In this article, the authors present an energy function for a single-machine 39 bus system, which is based on the Tsolas-Araposthasis-Varaiya model.
Journal ArticleDOI

Energy function analysis for power system stability

TL;DR: In this paper, the authors present an energy fundiment analysis for power system stability, focusing on the reliability of the power system and its reliability in terms of power system performance and reliability.
Journal ArticleDOI

Synchronization in complex networks of phase oscillators: A survey

TL;DR: This survey reviews the vast literature on the theory and the applications of complex oscillator networks, focusing on phase oscillator models that are widespread in real-world synchronization phenomena, that generalize the celebrated Kuramoto model, and that feature a rich phenomenology.
Journal ArticleDOI

Synchronization in complex oscillator networks and smart grids

TL;DR: This work presents a unique, concise, and closed-form condition for synchronization of the fully nonlinear, nonequilibrium, and dynamic network of a strongly coupled and sufficiently homogeneous network.
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