This paper presents a game-theoretic approach for solving network congestion in the Smart Grid. A smart grid environment with high penetration of Electric Vehicles (EVs) for a bidirectional power trade provides an opportunity to use the EVs for congestion management. Optimal power injected or drawn by the EV charging stations can be obtained to mitigate the congestion problem by solving a constrained optimization problem to minimize the change in the power injected at every bus while satisfying several constraints. EV charging stations will be requested to inject or draw optimal power as obtained from the optimization problem. This paper proposes a game-theoretic approach (Greed Game) to develop a smart pricing model and design a mechanism to remove congestion in the network. A unique Nash equilibrium is achieved in the game, which optimally fulfills the line power congestion management problem and yields maximum benefit for the EVs. The algorithm was applied to 16-machine 68-bus test systems, and it has been found that the proposed mechanism maximizes the gain of the EVs and solves the congestion problem in the Grid.

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Wide area measurement based damping controllers are used to mitigate the inter-area oscillations in a large geographically distributed power system. The performance of wide area damping control (WADC) heavily relies on cyber and physical infrastructure. As the measured input signals used in WADC are transferred to the controller location via a communication channel, it is prone to cyber-attacks. The attacker can inject malicious data into the WADC measurements and/or control signals. This paper focuses on modeling and analyzing the impact of different types of false data injection (FDI) attacks on the WADC control signals, namely, sinusoidal attack, triangular attack, sawtooth attack, ramp attack, pulse attack, random attack, and replay attack. The control architecture for analyzing these attacks consists of power system stabilizers placed on each generator for damping of local modes and an H2/H∞ based WADC controller for damping of inter-area modes in Kundur's 4-machine 2-area test system. Different types of attacks were compared for their severity, and it has been found that a sinusoidal attack has the highest severity of all the analyzed FDI attacks. The results obtained in this paper will be useful in implementing the cyberattack detection and mitigation algorithms.

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