This paper summarizes the technical activities of Task Force on Power System Dynamic State and Parameter Estimation. was established by IEEE Working Group Estimation Algorithms to investigate added benefits dynamic state parameter estimation for enhancement reliability, security, resilience electric power systems. The motivations engineering values (DSE) are discussed in detail. Then, a set potential applications that will rely DSE is presented discussed. Furthermore, unified framework...

In this paper, we review the emerging challenges and research opportunities for voltage control in smart grids. For transmission grids, accommodating wind solar power, fault-induced delayed recovery, measurement-based Thévenin equivalent stability analysis are reviewed. distribution impact of high penetration distributed energy resources is analyzed, typical strategies reviewed, local inverter Volt-Var discussed. addition, motivation, state-of-the-art, future directions coordination system...

Boosting the resilience of power systems is one core requirements smart grid. In this paper, an integrated response framework proposed, which not only links situational awareness with enhancement, but also provides effective and efficient responses in both preventive emergency states. The proposed a two-stage robust mixed-integer optimization model, whose mathematical formulation presented paper as well. To solve above algorithm based on nested column-and-constraint generation decomposition...

In this paper the empirical observability Gramian calculated around operating region of a power system is used to quantify degree states under specific phasor measurement unit (PMU) placement. An optimal PMU placement method for dynamic state estimation further formulated as an optimization problem which maximizes determinant and efficiently solved by NOMAD solver, implements Mesh Adaptive Direct Search (MADS) algorithm. The implementation, validation, also robustness load fluctuations...

The increased penetration of distributed energy resources (DER) will significantly increase the number devices that are owned and controlled by consumers third-parties. These have a significant dependency on digital communication control, which presents growing risk from cyber-attacks. This study proposes holistic attack-resilient framework to protect integrated DER critical power grid infrastructure malicious cyber-attacks, helping ensure secure integration without harming reliability...

In this paper, in order to enhance the numerical stability of unscented Kalman filter (UKF) used for power system dynamic state estimation, a new UKF with guaranteed positive semidifinite estimation error covariance (UKF-GPS) is proposed and compared five existing approaches, including UKF-schol, UKF-$\kappa$, UKF-modified, UKF-$\Delta Q$, square-root (SR-UKF). These methods extended (EKF) are tested by performing on WSCC 3-machine 9-bus NPCC 48-machine 140-bus system. For system, all obtain...

In microgrids, distributed load sharing plays an important role in maintaining the supply-demand balance of power. Because false data injection (FDI) is one crucial threats faced by future study impact FDI on both theoretical merit and practical value. this paper, we consider problem microgrids operating autonomous mode under FDI. Each bus assumed to be equipped with agent. Under a well-developed protocol based multiagent systems, first construct attack model, where attacker capable...

In this paper, the interactions between component failures are quantified and interaction matrix network obtained. The can capture general propagation patterns of cascades from utilities or simulation, thus helping to better understand how cascading propagate identify key links components that crucial for failure propagation. By utilizing these a high-level probabilistic model called is proposed study influence on risk support online decision-making. It much more time-efficient first...

Electric vehicles (EVs) are promising to provide frequency regulation services due their fast regulating characteristics. However, when EVs participate in supplementary regulation, it is challenging simultaneously achieve the dispatch of control center and expected state charge (SOC) levels EV batteries. To solve this problem, paper we propose a vehicle-to-grid (V2G) strategy, which an uncertain implemented without detailed charging/discharging information. The from achieved by allocating...

Phasor measurement units (PMUs) can be effectively utilized for the monitoring and control of power grid. As cyber-world becomes increasingly embedded into grids, risks this inevitable evolution become serious. In paper, we present a risk mitigation strategy, based on dynamic state estimation, to eliminate threat levels from grid's unknown inputs potential cyber-attacks. The strategy requires: 1) potentially incomplete knowledge system models parameters 2) real-time PMU measurements. First,...

In this paper, we propose a self-healing phasor measurement unit (PMU) network that exploits the features of dynamic and programmable configuration in software-defined networking infrastructure to achieve resiliency against cyber-attacks. After cyber-attack, switches is changed isolate compromised PMUs/phasor data concentrators prevent further propagation attack; meanwhile, disconnected yet uncompromised PMUs will be reconnected "self-heal" thus restore observability power system....

Kalman filters (KFs) and dynamic observers are two main classes of the state estimation (DSE) routines. The Power system DSE has been implemented by various KFs, such as extended KF (EKF) unscented (UKF). In this paper, we discuss challenges for an effective power DSE: 1) model uncertainty 2) potential cyber attacks measurement faults. To address this, cubature (CKF) a nonlinear observer introduced implemented. Various KFs then tested on 16-machine 68-bus given realistic scenarios under...

The Kalman-type filtering techniques including cubature Kalman filter (CKF) does not work well in non-Gaussian environments, especially the presence of outliers. To solve this problem, Huber's M-estimation-based robust CKF (RCKF) is proposed for synchronous machines by combining M-estimation theory with classical CKF, which capable coping deterioration performance and discretization tracking curves when measurement noise statistics deviate from prior statistics. RCKF algorithm has good...

In this paper, we propose an optimal distributed voltage control for grid-forming (GFM) inverters in islanded AC microgrids. An optimization problem is formulated where the generator (DG) output considered as variable with technical constraints on and reactive power capacity objective function that makes a trade-off between regulation sharing. A primal-dual gradient based algorithm developed to solve address challenges due non-separable function, unavailable global average voltage, globally...

Small-Signal Stability Constrained Optimal Power Flow (SSSC-OPF) can provide additional stability measures and control strategies to guarantee the system be small-signal stable. However, due nonsmooth property of spectral abscissa function, existing algorithms solving SSSC-OPF cannot convergence. To tackle this computational challenge SSSC-OPF, we propose a Sequential Quadratic Programming (SQP) method combined with Gradient Sampling (GS) for SSSCOPF.At each iteration proposed SQP, gradient...

In this paper a blackout model that considers the slow process at beginning of blackouts is proposed based on improved ORNL-PSerc-Alaska (OPA) model. It contains two layers iteration. The inner iteration, which describes fast dynamics system, simulates power system cascading failure, including tree contact and failure lines caused by heating. simulation protective relays dispatching center also to make it closer practical conditions. outer long-term adds growth utility vegetation management...

Various methodologies exist for assessing the risk of cascading outage in power systems, differing mechanisms considered and way they are modeled. These can be classified three groups: static computation (QSS methodologies), dynamic (dynamic or a combination both (hybrid methodologies). The objective this paper is to benchmark performance several widely used QSS methodologies. For that purpose, applied on unique system, RTS-96, results compared. Several metrics indicators comparison:...

In this paper, we propose a droop-free distributed cooperative control with precisely regulated voltage variance and admissible profile guarantees for AC microgrids. First observer is proposed proven to be able converge global using only local measurements information from neighboring generators (DGs). A average regulator, relaxed reactive power regulator then designed shown achieve the regulation of sharing in steady-state. For sharing, one special DG that could community-owned or...

In this paper, we propose an AC power flow based cascading failure model that explicitly considers external weather conditions, extreme temperatures in particular, and evaluates the impact of temperature on initiation propagation blackouts. Based model, resilience analysis system is performed with temperatures. Specifically, changes load dynamic line rating are modeled due to disturbance. The probabilities for transmission generator outages evaluated, timing each type events calculated...

Power flow (PF) is one of the most important calculations in power systems.The widely-used PF methods are Newton-Raphson (NRPF) method and fast-decoupled (FDPF) method.In smart grids, generations loads become intermittent much more uncertain, topology also changes frequently, which may result significant state shifts further make NRPF or FDPF difficult to converge.To address this problem, we propose a data-driven (DDPF) based on historical/simulated data that includes an offline learning...

Branching processes can be applied to simulated cascading data describe the statistics of cascades and quickly predict distribution blackout sizes. We improve procedures for discretizing load shed so that a Galton-Watson branching process may applied. The parameters such as average propagation are estimated from is then used estimate size. test distributions with line outage generated by improved OPA AC simulations on IEEE 118-bus system Northeast Power Grid China.

In this paper, the concept of normal measurement rate (NMR) is defined based on theory uncertainty in and a robust state estimator named maximum (MNMR) proposed. Comparison made between MNMR other estimators. The robustness precision tested with IEEE 14-bus, 30-bus, 118-bus systems. Simulation results show that effective identifying bad data also time efficient.

Recent research has demonstrated that the rotor angle stability of a power system can be assessed by identifying sign system's maximal Lyapunov exponent (MLE). A positive (negative) MLE implies unstable (stable) dynamics. However, because may fluctuate between and negative values for long time after severe disturbance, determining is difficult when observing or without knowing its further fluctuation trend. In this paper, new approach online assessment proposed to address problem. The...