<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Based on the integer linear programming formulation proposed for optimal PMU placement, this paper presents a generalized cases including redundant full observability and incomplete observability. Due to accurate voltage phasor measurement current measurements provided by PUM units, accuracy, redundancy thus robustness of state estimation will be enhanced with integration measurements. The...

This letter presents a simple optimal placement algorithm of phasor measurement units (PMU) by using integer linear programming. Cases with and without conventional power flow injection measurements are considered. The problems under those cases formulated as an programming which saves the CPU computation time greatly. Simulation results show that proposed can be used in practice.

Lithium-ion (Li-ion) batteries have been widely applied in industrial applications. It is desired to predict the health state of achieve optimal operation and management. However, accuracy biggest bottleneck for battery prediction. In this paper, a new hybrid ensemble data-driven method proposed accurately state-of-health (SOH) remaining-useful-life (RUL) Li-ion batteries. A indicator selected as feature inputs degradation trend battery, after Pearson correlation analysis. Two random...

Nowadays, extensive electrification of maritime transportation, represented by the seaport microgrids and all-electric ships (AESs), has been viewed as a feasible route to enhance overall system flexibility well mitigate resulted in growing environmental issues. However, with trend electrification, connections between are no longer limited logistic-side, but also expanded electric-side, which makes future transportation management complex transportation-power multi-microgrid coordination...

The converter with a single-phase rectifier, dc-link circuit and three-phase inverter is widely applied in high-speed railway electrical traction drive system. fault frequency of rectifier higher than that inverter. Thus, this paper presents new fast model-based approach for open-switch diagnosis the pulse width modulation based on mixed logical dynamic model residual generation. It requires no additional hardware but only some measurements command signals which are available control This...

Three-phase pulsewidth modulation inverter fed induction motor drive system is widely applied in high power applications. Sensor faults are very common the system, which, once occur, might result degraded performance or even shutdown. In order to rapidly and accurately diagnose sensor faults, this paper proposes an intelligent time-adaptive data-driven method identify fault location type of sensors system. An emerging machine learning technology named extreme (ELM) learn dataset; ensemble...

This paper presents a model-based open-circuit fault diagnosis approach for single-phase three-level neutral-point-clamped (3LNPC) converters in electric railway application. The algorithm, which only requires the signals existing control system, not detects faults but also identifies faulty device among transistors and clamping diodes. mixed logical dynamic (MLD) model of converter is built to estimate grid current. residual generated from measured current subtracting estimated one analyzed...

This article presents an online data-driven diagnosis method for multiple insulated gate bipolar transistors (IGBTs) open-circuit faults and current sensor in the three-phase pulsewidth modulation inverter. The fast Fourier transform (FFT) algorithm is used to extract fault frequency spectrum features of currents. Then, a feature selection named ReliefF introduced select most critical by removing redundant irrelevant features. In addition, as novel learning technology, random vector...

The state-of-health (SOH) estimation of lithium-ion batteries (LIBs) is great importance to the safety systems. In this article, a novel ensemble learning method proposed accurately estimate SOH LIBs. A feature defined as duration same charging voltage range (DSCVR) extracted key health indicator for LIB. Pearson correlation analysis performed select four optimal indicators that are used inputs prediction model. random algorithm named extreme machine (ELM) applied extract mapping knowledge...

This paper presents an algebraic method that uses the triangular factors of singular, symmetric gain matrix to determine observable islands a measured power system. is accomplished in noniterative manner via use selected rows inverse factors. Implementation proposed little additional effort, since sparse factorization and forward/back substitution procedures common existing state estimators, are only required functions. The further extended for choice pseudo-measurements order merge into...

In this article, a novel data-driven method is proposed for open-circuit fault diagnosis of insulated gate bipolar transistor used in three-phase pulsewidth modulation converter. Based on the sampled current signals, fast Fourier transform and ReliefF algorithm are to select most correlated features. Then, based two randomized learning technologies named extreme machine random vector functional link network, hybrid ensemble scheme extracting mapping relationship between modes selected...

The lifetime of shipboard energy storage systems (ESSs) has great impacts on the operating cost all-electric ships (AESs) since their high investment costs. Additionally, those ESSs are designed to have multiple battery packs with capacity redundancy cope various navigation scenarios and distributed in different electric zones onboard avoid risks. To extend while fully addressing redundant locations, an optimal hierarchical management model for multibattery ESS is proposed, which consists...

This paper presents a fast method for multiple measurement placement systems that are found to be unobservable. Upon of measurements, all observable islands will merged together and the entire system rendered fully observable. The uses test matrix whose leading dimension is determined by rank deficiency gain matrix. Therefore, even very large systems, as long number measurements placed relatively low, proposed maintain its computational advantage. Compared existing iterative approaches, this...

The reliability of DC-link capacitors in urban rail transit is considered as a major challenge because significant maintenance impact. In this article, the capacitor researched metro traction drive system. small timescale control level, current harmonics multiple operating conditions and different methods are discussed. power loss simulated by equivalent series resistance (ESR) multioperating conditions. Considering electrothermal coupling, time-ordered continuity thermal stress analyzed to...

In this paper, numerical observability analysis is restudied. Algorithms to determine observable islands and decide a minimal set of pseudo-measurements make the unobservable system are presented. The algorithms direct use measurement Jacobian matrix. Gaussian elimination, which makes whole process simple effective, only computation required by algorithms. Numerical examples used illustrate proposed Comparison expense on Texas among algorithm existing performed.

The intermittent fault (IF) is usually overlooked in power electronic applications. In this letter, an intelligent diagnosis method based on a data-driven model proposed for sensor IFs. First, the manifestation of IF time domain discussed to explore its distinctive characteristics. Then, signal predictor constructed way by utilizing nonlinear autoregressive exogenous structure with extreme learning machine algorithm. addition, residual generated online comparing output devised and that real...

Data-driven solutions, such as artificial intelligence (AI), are more upright and effectual for fault diagnosis in the power converter system. To decrease computing load improve speed of intelligent algorithm, a high-accuracy-light-AI data-driven open-circuit method is proposed to diagnose single or multiple insulated-gate bipolar transistor (IGBT) faults single-phase pulsewidth modulation (PWM) rectifiers. First, characteristics three scenarios analyzed seek most critical features provide...

Based on analysing the load currents, a current sensor fault diagnosis method for three‐phase voltage source inverters in high‐speed railway electrical traction drive system is presented. Then, fault‐tolerant algorithm applied to reconstruct currents. This and tolerant control approach an extension of normalised average currents method, which requires no additional hardware permits much more robust diagnostics. Experimental results confirm effectiveness accuracy proposed algorithm. It shown...

Abstract Commercial polyolefin separators in lithium batteries encounter issues of uncontrolled lithium‐dendrite growth and safety incidents due to their low Li + transference numbers () melting points. To address these challenges, this study proposes an innovative approach by upgrading conventional through the incorporation metal‐organic framework (MOF)‐confined polyoxometalate (POM). The presence POM restricts anion diffusion electrostatic repulsion while facilitating transport within MOF...

Three-phase pulse width modulation converters using insulated gate bipolar transistors (IGBTs) have been widely used in industrial application. However, faults IGBTs can severely affect the operation and safety of power electronics equipment loads. For ensuring system reliability, it is necessary to accurately detect IGBT as soon their occurrences. This paper proposes a diagnosis method based on data-driven theory. A novel randomized learning technology, namely extreme machine (ELM) adopted...

The increasing importance of cascaded H-bridge multilevel converters (CHBMCs) in high-power applications requires a higher priority to detect and protect against fault conditions. In this article, current residual-based diagnosis scheme is proposed for the CHBMCs without additional sensors. On premise filtering sampled dc voltages, comparing calculated actual values output with expected control system, normalized diagnostic variables are established localize single or multiple open-circuit...