Based on the empirical data published by the Korea Electric Power Exchange and the Korea Meteorological Administration, we present a methodology that predicts the system marginal prices. For this purpose, this study u...
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A parallel consequent pole PM-assisted 2-layer subharmonic machine consisting of dual inverter topology is proposed here, which is designed to enhance torque generation and control compared to its predecessors. The st...
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ISBN:
(数字)9798350348958
ISBN:
(纸本)9798350348965
A parallel consequent pole PM-assisted 2-layer subharmonic machine consisting of dual inverter topology is proposed here, which is designed to enhance torque generation and control compared to its predecessors. The stator of the sub-harmonic synchronous machine has two sets of 3-phase windings, and the dual inverter supplies current to them separately. Similarly, the rotor has two concentric windings, one for field excitation and the other for harmonic excitation. To validate the proposed model, an 8-pole, 48-slot, 2-inverter, 2-layer sub-harmonic machine is designed and simulated through 2-D finite element analysis. The results show a better torque and performance than the subharmonic and wound field synchronous machines.
The extreme or maximum age of information (AoI) is analytically studied for wireless communication systems. In particular, a wireless powered single-antenna source node and a receiver (connected to the power grid) equ...
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We consider the problem of devising optimal bidding strategies for electricity suppliers in a day-ahead market where each supplier bids a linear non-decreasing function of its generating capacity for each of the 24 ho...
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We consider the problem of devising optimal bidding strategies for electricity suppliers in a day-ahead market where each supplier bids a linear non-decreasing function of its generating capacity for each of the 24 hours. The market operator schedules suppliers based on their bids to meet demand during each hour and determines hourly market clearing prices. Each supplier strives to submit bids that maximize her individual profit, conditional upon other suppliers bids. This process achieves a Nash equilibrium when no supplier is motivated to modify her bid. Solving the profit maximization problem requires information of rivals' bids which are typically not available. We develop an inverse optimization approach for estimating rivals' cost functions given historical market clearing prices and production levels, and use these functions to compute the Nash equilibrium bids. We propose sufficient conditions for the existence and uniqueness of the Nash equilibrium, and provide out-of-sample performance guarantees for the estimated cost parameters. Numerical experiments show that our approach achieves higher profit than the one proposed in [16], which relies instead on the assumption that other suppliers' bids are normally distributed.
This paper describes a fuzzy logic (FL) approach for incorporating an expert knowledge-based Traction Control System (TCS) for a four-wheel drive vehicle. The knowledge base is provided by a survey of existing TCS met...
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This paper describes a fuzzy logic (FL) approach for incorporating an expert knowledge-based Traction Control System (TCS) for a four-wheel drive vehicle. The knowledge base is provided by a survey of existing TCS methods, understanding of the TCS hardware components and tyre adhesion characteristics, evaluation of applicable control methods, computer simulation studies, and feedback information from experienced traction test drivers in the automotive industry. The developed FL-bascd TCS was implemented on a Pentium PC system- level traction controller computer installed on a 4x4 pickup truck. Extensive experiments for traction control was conducted at available test facilities and proving grounds. The system-level fuzzy logic approach readily permits modification of old and incorporation of new ideas. The success of this fuzzy logic-based design approach was demonstrated to the government sponsor and industrial partners.
This paper evaluates the uplink spectral efficiency (SE) achieved by a reconfigurable intelligent surface (RIS)-aided cell-free massive MIMO system with max-min fairness (MMF) power allocation. We provide an exact clo...
This paper evaluates the uplink spectral efficiency (SE) achieved by a reconfigurable intelligent surface (RIS)-aided cell-free massive MIMO system with max-min fairness (MMF) power allocation. We provide an exact closed-form expression for an achievable SE expression which assumes maximum ratio receive combining at the access points (APs) and centralized large-scale fading decoding at the central processing unit. The derived SE expression also accounts for imperfect channel estimation and spatially correlated Ricean fading channels for both direct (APs-users) and cascaded (APs-RISs-users) links. Alongside this, we provide a generalized SE expression and evaluate the performance achieved by local partial minimum mean-squared error combining. Finally, we optimally solve the RIS phase-shift selection problem in order to maximize the aggregate channel gains, and derive a closed-form solution to the MMF power allocation problem. Simulation results validate the effectiveness of the proposed framework in enhancing the unlink SE with resnect to various benchmarks.
The stability of Boolean networks and the stabilization of Boolean control networks are *** semi-tensor product of matrices and the matrix expression of logic,the dynamics of a Boolean(control) network can be converte...
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The stability of Boolean networks and the stabilization of Boolean control networks are *** semi-tensor product of matrices and the matrix expression of logic,the dynamics of a Boolean(control) network can be converted to a discrete time linear(bilinear) dynamics,called the algebraic form of the Boolean(control) *** provide a framework for this *** results consist of two parts:(i) Using logic coordinate transformation,the known sufficient condition based on incidence matrix has been *** is also used in stabilizer design.(ii)Based on algebraic form,necessary and sufficient conditions for stability of Boolean networks and stabilization of Boolean control networks respectively are obtained.
Within the paradigm of Evolving and Adaptive Intelligent systems, the Electrical Power System (EPS) represents a Critical Infrastructure demanding robust reliability metrics. This study pioneers the application of Var...
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ISBN:
(数字)9798350366235
ISBN:
(纸本)9798350366242
Within the paradigm of Evolving and Adaptive Intelligent systems, the Electrical Power System (EPS) represents a Critical Infrastructure demanding robust reliability metrics. This study pioneers the application of Variable Neighborhood Search (VNS) heuristic to the Optimal Switch Allocation (OSA) problem in the EPS. Adapting neighborhood structures and local search methods, we consider the joint allocation of Manual Switches and Remote-Controlled switches, addressing interdependencies. Results highlight VNS efficacy in navigating OSA challenges, showcasing its adaptability in an evolving system. Comparative analyses endorse VNS as a valuable tool for addressing EPS reliability within the dynamic landscape of evolving and adaptive intelligent systems.
This paper presents novel sub-harmonic synchronous machines having series or parallel permanent magnet structures on rotors for better performance in terms of greater torque density. The stator of the machines has two...
This paper presents novel sub-harmonic synchronous machines having series or parallel permanent magnet structures on rotors for better performance in terms of greater torque density. The stator of the machines has two sets of three-phase winding, where the additional winding is used to generate sub-harmonic magnetomotive force components for brushless operation. Similar to the stator, the rotor of them uses an additional winding to induce that sub-harmonic component. Rotor also uses a permanent magnet to improve machine performance in series or parallel hybrid structures having conventional or consequent pole permanent magnet structures. In this paper, 4 different rotors, 3 having hybrid excitation, are used and their performance is compared. To validate the performance, a 2D finite element analysis of 8 poles and 48 slots of sub-harmonic synchronous machines is carried out with different rotors. Finally, the wide-speed operation of the proposed machine is discussed.
Federated Learning (FL) provides a decentralized training mechanism that ensures users' data privacy. However, FL is vulnerable to backdoor attacks, a type of data poisoning attack. The adversaries tampered with t...
Federated Learning (FL) provides a decentralized training mechanism that ensures users' data privacy. However, FL is vulnerable to backdoor attacks, a type of data poisoning attack. The adversaries tampered with the local models by injecting a trigger into a subset of training data. After the aggregation process, the global model would be poisoned and mispredict the input images that injected a trigger designed by an adversary. Unlike the existing defense methods attempting to identify and remove the abnormal model updates on the aggregation step, this paper proposes a Successive Interference Cancellation-based Defense Framework (SICDF) to detect and eliminate the trigger during model inference. SICDF first employs Explainable AI to infer where the trigger is and then uses image processing skills to eliminate potential trigger effects. Experiment results show that SICDF can effectively recover the poisoned data while only slightly reducing the accuracy of the clean model and benign data.
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