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An analysis of Hybrid Excitation Synchronous Generator (HESG) topologies for a direct drive wind turbine is investigated. Through an optimization process, the topologies of HESG are compared regarding the cost and the total losses. The optimizations are performed at the nominal on-load operating point of the generator. The trade-offs between each topology are analyzed according to a set of Pareto...
Currently available artificial network generation models are characterized by consistency and low variance due to the rigidity of models' underlying assumptions. Networks generated from these models are usually too regular and do not contain noise and imbalance inherent in networks induced by human behavior. An important consequence is that much research on social network analysis presented in recent...
In recent years the control of Wave Energy Conversion (WEC) systems has been a challenging research topic. A 1/50th scale buoy system has been constructed at the University of Hull for modelling, verification and control. This study focuses on the time-varying state space model development of this direct-drive WEC with a tubular permanent magnet linear generator (TPMLG). A new form of control is developed,...
In secure two-party computation protocols based on garbled circuit, oblivious transfer (OT) plays an important role in transferring the garbled keys of the participants. In addition to the traditional OT primitive, many other variants of OT have also been presented, such as outsourced oblivious transfer (OOT), cut-and-choose oblivious transfer (CCOT), cut-and-choose bilateral oblivious transfer (CCBOT),...
Option and other financial derivatives are becoming more and more important in financial market. As one of the most important financial activities, reasonable option pricing not only makes the trade market steady and orderly, but also provides investors valuable information to make decisions. As the growth of the financial data and the inherent complexity of option pricing methods, option pricing...
A novel, homogeneous and continuous analytical model of cyclist pedaling torque angular distribution is presented in the article. The model is dedicated for use in an unique pedaling-by-wire system. The motivation to the research is to obtain a model for use in control system with compensation. Applying nonlinear compensation of cyclist load torque results in pedals speed ripples reduction — particularly...
Splitting control is the last resort of security control. By splitting the whole system into several isolated islands, splitting control can ensure system stability and power supply under extremely emergency situation. In this paper, a mixed integer linear programming (MILP) based splitting strategy searching model is proposed. Connectivity constraints and voltage stability margin in each island are...
Particle filters provide a general framework for dynamic state estimation (DSE) in nonlinear systems. The scope for particle filter-based DSE can be significantly enhanced by exploiting data from phasor measurement units (PMUs) when available at higher sampling frequencies. In this paper, we present a particle filtering approach to dynamically estimate the states of a synchronous generator in a multi-machine...
This paper presents three alternatives to database adequacy aiming at on-line dynamic security assessment. Usually, on-line data available at the control centers are not prepared to be directly used in dynamic simulations due to discrepancies between power system data models used in EMS' databases and power system analysis software (off-line). Challenges and requirements of such adequacy are initially...
The paper presents two groups of measurement based multi-inputs, multi-outputs (MIMO) system identification approaches, which are subspace state-space identification and transfer function identification. The purpose is to compare the performance and features of these methods in terms of electromechanical oscillation damping estimation. The selected methods are validated by using ambient data and ring-down...
This paper proposes a Stochastic Mixed-Integer Linear Programming (SMILP) formulation for Short-Term Hydrothermal Generation Scheduling (STHTGS) under uncertainty. STHTGS seeks to minimize present and future operation costs by deciding the commitments of thermal generators and the allocation of hydro resources during the planning horizon. The stochastic STHTGS is decomposed using the Progressive Hedging...
Despite the knowledge and experience of market operators, consultation with market participants, and approval by regulators, changes in market design do not always have the intended beneficial outcomes. Agent modeling can be a useful approach in validating whether there may be unintended consequences as market participants operate under new market rules. Examples of such outcomes are explored, with...
Due to increasing penetration of non-traditional power system resources; e.g. renewable generation, electric vehicles, demand response, etc. and computational power there has been an increased interest in research on unit commitment. It therefore may be important to take another look at how unit commitment models and algorithms are validated especially as improvements in solutions and algorithmic...
This paper presents a fully multilevel approach to parallel in time solution of transient power system simulations. The method employs a multigrid reduction algorithm in time parallelized using the MPI distributed memory programming model. The method is demonstrated on a simple Single Machine Infinite Bus differential-algebraic equation model problem, for which speedup is obtained for as few as 8...
This paper proposes a cascading outages model which captures power system operations, protections, automatic regulations, and remedial action schemes. It is based on linear implicit AC PF, which provides a tradeoff between computationally expensive AC PF and approximate DC PF. Combinations of several types of failures and interactions in blackouts are represented, i.e., cascading line overloads, large...
Large power systems are complex and real-time modeling of the grid for electromagnetic simulation (EMT) studies is impractical. In general, there are methods that reduce large power system into an equivalent network that requires less computational resource, while preserving electromechanical (low frequency) and high frequency behavior of the original system. This can be achieved by modeling the area...
We present a computationally efficient mixed-integer program (MIP) that determines optimal generator expansion decisions, as well as periodic unit commitment and dispatch. The model is applied to analyze the impact of increasing wind power capacity on the optimal generation mix and the profitability of thermal generators. In a case study, we find that increasing wind penetration reduces energy prices...
This Paper proposed fuzzy logic based maximum power point tracking technique (MPPT) for wind energy conversion system. There are number of tracking techniques but it all have some disadvantages like in some of the technique required to measure wind speed which is difficult to accurate measurement. The propose fuzzy controller tracks the maximum power point (MPP) by measuring the voltage and current...
Simulation tools are indispensable to computer architects. Detailed execution-driven CPU models offer high accuracy, but at the cost of simulation speed. Trace-driven simulation is widely adopted to alleviate this problem, especially for studies focusing on memory-system exploration. Ideally, trace-driven core models will mimic out-of-order processors executing full-system workloads to enable computer...
Cost reduction of wind power motivates the development of advanced control algorithms to enhance both efficiency and reliability of wind turbines. Achieving this goal can be done through maximizing wind energy capture while mitigating turbine fatigue loads. In this paper, an economic model predictive control framework is presented to achieve the aforementioned goal. A convex formulation of the optimal...
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