On the optimization of energy storage system placement for protecting power transmission grids against dynamic load altering attacks

Giorgio, Alessandro Di; Giuseppi, Alessandro; Liberali, Francesco; Ornatelli, Antonio; Rabezzano, Antonio; Celsi, Lorenzo Ricciardi

doi:10.1109/med.2017.7984247

Cited by 19 publications

(9 citation statements)

References 43 publications

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“…Moreover, from the hypothesis (1), we have that { ( )} is a decreasing sequence and has a limit in, which shows that lim →∞ ( +1 ) < +∞ and after (25) we have,…”

Section: Proof Subtracting ∇ ( )mentioning

confidence: 79%

A new modification nonlinear conjugate gradient method with strong wolf-powell line search

Ahmed

Bouali

2020

IJEECS

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<span>The conjugate gradient method has played a special role in solving large-scale unconstrained Optimization problems. In this paper, we propose a new family of CG coefficients that possess sufficient descent conditions and global convergence properties this CG method is similar to (Wei et al) [7]. Global convergence result is established under Strong Wolf-Powell line search. Numerical results to find the optimum solution of some test functions show the new proposed formula has the best result in CPU time and the number of iterations, and the number of gradient evaluations when it comparing with FR, PRP, DY, and WYL </span>

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“…Moreover, from the hypothesis (1), we have that { ( )} is a decreasing sequence and has a limit in, which shows that lim →∞ ( +1 ) < +∞ and after (25) we have,…”

Section: Proof Subtracting ∇ ( )mentioning

confidence: 79%

A new modification nonlinear conjugate gradient method with strong wolf-powell line search

Ahmed

Bouali

2020

IJEECS

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“…First, we consider the impact of the DLAA on the power system model. Traditionally, the power consumption on the load bus is regarded as an uncontrollable quantity, but in the field of demand response and demand-side management, people are constantly striving to develop the potential of load flexibility for various users so that we can control a part of the load to make the power system more efficient and reliable [39]. However, interactive information and control commands may be affected by components from the information layer and the physical layer.…”

Section: Dynamic Load Altering Attackmentioning

confidence: 99%

An adaptive sliding‐mode resilient control strategy in smart grid under mixed attacks

Yang

Gao

et al. 2021

IET Control Theory & Appl

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This paper is concerned with security problems for cyber-physical systems (CPSs) under dynamic load altering attacks (DLAA) and false data injection attacks (FDIA). The smart grid, as a typical CPS system, is taken as an example in this paper. Since the communication channel is vulnerable to FDIA and DLAA, the stability of the smart grid may be influenced. For enhancing resilience and stability of smart grids, first of all, the power system model including both DLAA and FDIA is introduced. Second, an adaptive sliding mode controller is proposed. The controller can ensure the reliable operation of the power system in the case of unknown attack information by using the adaptive mechanism online estimating the upper bound of attack signal to automatically eliminate the effect of mixed attacks. Finally, a power system with three generators and six buses is taken as an illustrative example, and simulation and experiment results obtained by using MATLAB and Hardware-in-time platform built by Sartsim verify the effectiveness of the proposed resilient defense strategy.

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“…The optimization problem finds application in several fields, such as pure mathematics, mathematical and computational physics, mathematical physics, fluid dynamics, an traffic routing in telecommunication systems [1], cyber-physical security [2], intelligent transportation systems [3], and smart grids [4]. The conjugate gradient method is an effective one for solving large-scale unconstrained optimization problems because it need not the storage of any matrices.…”

Section: Introductionmentioning

confidence: 99%

Global convergence of new conjugate gradient method with inexact line search

Ahmed

Bouali²

2021

IJECE

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In this paper, We propose a new nonlinear conjugate gradient method (FRA) that satisfies a sufficient descent condition and global convergence under the inexact line search of strong wolf powell. Our numerical experiment shaw the efficiency of the new method in solving a set of problems from the CUTEst package, the proposed new formula gives excellent numerical results at CPU time, number of iterations, number of gradient ratings when compared to WYL, DY, PRP, and FR methods.

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On the optimization of energy storage system placement for protecting power transmission grids against dynamic load altering attacks

Cited by 19 publications

References 43 publications

A new modification nonlinear conjugate gradient method with strong wolf-powell line search

A new modification nonlinear conjugate gradient method with strong wolf-powell line search

An adaptive sliding‐mode resilient control strategy in smart grid under mixed attacks

Global convergence of new conjugate gradient method with inexact line search

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