66 research outputs found
Evaluating Resilience of Electricity Distribution Networks via A Modification of Generalized Benders Decomposition Method
This paper presents a computational approach to evaluate the resilience of
electricity Distribution Networks (DNs) to cyber-physical failures. In our
model, we consider an attacker who targets multiple DN components to maximize
the loss of the DN operator. We consider two types of operator response: (i)
Coordinated emergency response; (ii) Uncoordinated autonomous disconnects,
which may lead to cascading failures. To evaluate resilience under response
(i), we solve a Bilevel Mixed-Integer Second-Order Cone Program which is
computationally challenging due to mixed-integer variables in the inner problem
and non-convex constraints. Our solution approach is based on the Generalized
Benders Decomposition method, which achieves a reasonable tradeoff between
computational time and solution accuracy. Our approach involves modifying the
Benders cut based on structural insights on power flow over radial DNs. We
evaluate DN resilience under response (ii) by sequentially computing autonomous
component disconnects due to operating bound violations resulting from the
initial attack and the potential cascading failures. Our approach helps
estimate the gain in resilience under response (i), relative to (ii)
Moment-Based Relaxation of the Optimal Power Flow Problem
The optimal power flow (OPF) problem minimizes power system operating cost
subject to both engineering and network constraints. With the potential to find
global solutions, significant research interest has focused on convex
relaxations of the non-convex AC OPF problem. This paper investigates
``moment-based'' relaxations of the OPF problem developed from the theory of
polynomial optimization problems. At the cost of increased computational
requirements, moment-based relaxations are generally tighter than the
semidefinite relaxation employed in previous research, thus resulting in global
solutions for a broader class of OPF problems. Exploration of the feasible
space for test systems illustrates the effectiveness of the moment-based
relaxation.Comment: 7 pages, 4 figures. Abstract accepted, full paper in revie
Solution of Optimal Power Flow Problems using Moment Relaxations Augmented with Objective Function Penalization
The optimal power flow (OPF) problem minimizes the operating cost of an
electric power system. Applications of convex relaxation techniques to the
non-convex OPF problem have been of recent interest, including work using the
Lasserre hierarchy of "moment" relaxations to globally solve many OPF problems.
By preprocessing the network model to eliminate low-impedance lines, this paper
demonstrates the capability of the moment relaxations to globally solve large
OPF problems that minimize active power losses for portions of several European
power systems. Large problems with more general objective functions have thus
far been computationally intractable for current formulations of the moment
relaxations. To overcome this limitation, this paper proposes the combination
of an objective function penalization with the moment relaxations. This
combination yields feasible points with objective function values that are
close to the global optimum of several large OPF problems. Compared to an
existing penalization method, the combination of penalization and the moment
relaxations eliminates the need to specify one of the penalty parameters and
solves a broader class of problems.Comment: 8 pages, 1 figure, to appear in IEEE 54th Annual Conference on
Decision and Control (CDC), 15-18 December 201
Modeling and control of thermostatically controlled loads
As the penetration of intermittent energy sources grows substantially, loads
will be required to play an increasingly important role in compensating the
fast time-scale fluctuations in generated power. Recent numerical modeling of
thermostatically controlled loads (TCLs) has demonstrated that such load
following is feasible, but analytical models that satisfactorily quantify the
aggregate power consumption of a group of TCLs are desired to enable controller
design. We develop such a model for the aggregate power response of a
homogeneous population of TCLs to uniform variation of all TCL setpoints. A
linearized model of the response is derived, and a linear quadratic regulator
(LQR) has been designed. Using the TCL setpoint as the control input, the LQR
enables aggregate power to track reference signals that exhibit step, ramp and
sinusoidal variations. Although much of the work assumes a homogeneous
population of TCLs with deterministic dynamics, we also propose a method for
probing the dynamics of systems where load characteristics are not well known
Definition and Classification of Power System Stability – Revisited & Extended
Since the publication of the original paper on power system stability definitions in 2004, the dynamic behavior of power systems has gradually changed due to the increasing penetration of converter interfaced generation technologies, loads, and transmission devices. In recognition of this change, a Task Force was established in 2016 to re-examine and extend, where appropriate, the classic definitions and classifications of the basic stability terms to incorporate the effects of fast-response power electronic devices. This paper based on an IEEE PES report summarizes the major results of the work of the Task Force and presents extended definitions and classification of
power system stability.Peer reviewe
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