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The paper proposes a framework for the selection of optimal configuration of line compensation devices, thyristor controlled series capacitors (TCSC) and conventional fixed series capacitors, for reducing the risk of subsynchronous resonance (SSR) in the network while maintaining required power transfer. The methodology developed in the paper is based on the robust risk evaluation of SSR that takes...
We propose a novel statistical wind power forecast framework, which leverages the spatio-temporal correlation in wind speed and direction data among geographically dispersed wind farms. Critical assessment of the performance of spatio-temporal wind power forecast is performed using realistic wind farm data from West Texas. It is shown that spatio-temporal wind forecast models are numerically efficient...
This paper presents a comprehensive two-stage robust security-constrained unit commitment (SCUC) approach,which minimizes the operation cost of the base case while guaranteeing that the robust solution can be adaptively and securely adjusted in response to continuous load and wind uncertainty intervals as well as discrete generation and transmission contingency security criteria. In addition, corrective...
In this paper, a technique for designing fixed parameter decentralized power system stabilizers (PSSs) for interconnected power systems is proposed. In the proposed method, local information available at each machine in the multimachine environment, is used to tune parameters of PSS. Conventional design techniques such as P-Vr frequency response approaches, and the method of residues are based on...
The increasing injections of energy from renewable energy sources far away from load centers have resulted in a more congested transmission grid. As the construction of new lines is costly, other options should be exploited as well. One possible solution is Dynamic Thermal Line Rating (DLR), which, instead of static thermal line rating, adapts the transmission capacity based on the expected weather...
This paper proposes a robust optimization (RO) model for bidirectional dispatch coordination of large-scale plugin electric vehicles (PEVs) in a power grid in which the PEVs are aggregated to manage. The PEV aggregators are considered as a type of dispatchable demand response and energy storage resource with stochastic behaviors, and can supply load or provide ancillary services such as regulation...
Due to thermal inertia, commercial buildings can provide power system frequency reserves with the heating, ventilation and air-conditioning (HVAC) systems. In this paper, we follow up on a recently proposed framework for scheduling and provision of secondary frequency control (SFC) reserves within a building aggregation. We extend this framework with a new reserve scheduling formulation, which is...
Large-scale integration of wind farms causes volatile bus net injections. Although these fluctuations are anticipated, their timing, magnitude and duration cannot be predicted accurately. In order to maintain the operational reliability of the system, this uncertainty must be adequately addressed at the day-ahead generation scheduling stage. The ad-hoc reserve rules incorporated in deterministic unit...
Large-scale integration of multitype renewable energy (RE) sources (intermittent energy sources) has become an important feature in smart grid development all over the world. It is internationally recognized that the island (or weak-tie connected) power grids are the best platforms for intermittent energy integration test and demonstration because of their abundant RE resources, scarcity of conventional...
We propose a fully distributed Gauss-Newton algorithm for state estimation of electric power systems. At each Gauss-Newton iteration, matrix-splitting techniques are utilized to carry out the matrix inversion needed for calculating the Gauss-Newton step in a distributed fashion. In order to reduce the communication burden as well as increase robustness of state estimation, the proposed distributed...
This paper proposes a robust three-phase state-estimation method that is applicable to both balanced transmission networks and unbalanced distribution networks with nonlinear measurements. We extend the recently introduced bilinear formulation of state estimation problems to a robust three-phase model. The original nonlinear state estimation is solved by resorting to two auxiliary linear model and...
The paper presents the design of an output feedback based centralized, damping controller using partial right eigenstructure assignment technique. The algorithm exploits the extra degrees of freedom provided by multi-input-multi-output (MIMO) systems in partially assigning a few, selected eigenvectors in addition to corresponding eigenvalues. Singular value decomposition (SVD) is used for determining...
This paper studies how to sample load more realistically and efficiently for security constraint unit commitment (SCUC) problems in order to achieve a high degree of robustness of the unit commitment (UC) solution. For example, given the UC solution, 95% of load profiles can be supplied. Principal component analysis (PCA) is introduced to find a clear feature of the historical load in two-dimensional...
This paper proposes a robust optimization method for the transmission expansion planning (TEP) while considering uncertainties of renewable energy and load via a multi-band uncertainty set formulation. In order to handle future uncertainty from renewable energy integration and demand fluctuation, robust optimization has been studied extensively to immune the transmission expansion plan against the...
This work presents a self scheduling problem of a thermal GenCo, trading electricity in a daily spot and subsequent adjustment market, to secure maximum feasible profit under the uncertainties of both the markets. The work proposes an Information Gap Decision Theory (IGDT) based framework that enables GenCo to make robust decisions for self-scheduling as well as trading portfolio selection in daily...
This paper develops a robust extended Kalman filter to estimate the rotor angles and the rotor speeds of synchronous generators of a multimachine power system. Using a batch-mode regression form, the filter processes together predicted state vector and PMU measurements to track the system dynamics faster than the standard extended Kalman filter. Our proposed filter is based on a robust GM-estimator...
Demand side attracts large attention in smart grid for energy efficiency and demand response, and thermostatically controlled appliances (TCAs) are the most potential resources. TCAs scheduling is a basic tool to utilize the flexibility of TCAs to achieve payment savings or peak reduction for users. Current research usually models the users' comfort a hard constraint in TCAs scheduling, which may...
Robust Security-Constrained Unit Commitment (RSCUC) becomes one of the successful approaches to handling high penetration level of renewables (RES) in the electricity market. However, RSCUC can only be applied in Reliability Assessment Commitment (RAC) without corresponding energy and reserve price signals in the Day-ahead Market (DAM). In this paper, the locational marginal prices for energy and...
The energy internet paradigm provides a platform to integrate and utilize multiple energy resources through advanced hardware interfaces, communication infrastructure and operational intelligence. In this paper, a robust energy management framework is proposed for dispatching multiple renewable energy resources including solar power, wind power and biomass generation, and flexible loads. In the framework,...
This paper presents an energy core-ness based analysis of hybrid distributed energy systems to identify the most important or core nodes in the system. The proposed energy core-ness based analysis is used to compute a one-to-one relation between generation sources, storage nodes and loads, regardless of their distributed location in the system. Results indicate that the proposed energy core-ness analysis...
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