Renewable energy becomes a key contributor to our modern society, but their integration power grid poses significant technical challenges. Power quality is an important aspect of renewable integration. The major concerns are: 1) Voltage and frequency fluctuations, which are caused by noncontrollable variability resources. intermittent nature resources due ever-changing weather conditions leads voltage fluctuations at the interconnected grid. 2) Harmonics, introduced electronic devices...

This paper investigates the issues of day-ahead and real-time cooperative energy management for multienergy systems formed by many bodies. To address these issues, we propose an event-triggered-based distributed algorithm with some desirable features, namely, execution, asynchronous communication, independent calculation. First, body, seen as both supplier customer, is introduced system model development. On this basis, bodies cooperate each other to achieve objective maximizing social...

In this paper, a practical machine learning-based fault diagnosis method is proposed for induction motors using experimental data. Various single- and multi-electrical and/or mechanical faults are applied to two identical in lab experiments. Stator currents vibration signals of the measured simultaneously during experiments used developing method. Two signal processing techniques, matching pursuit, discrete wavelet transform, chosen feature extraction. Three classification algorithms,...

Load forecasting is a critical aspect for power systems planning, operation and control. In this paper, as part of research efforts an ambitious project at Memorial University Newfoundland in St. John's, Canada, to achieve more energy efficient environmental friendly "Sustainable Campus", we present day-ahead load approach the management system project. The hourly consumption dataset from January 1, 2016 March 31, 2020 used which was collected two meters on campus. Using along with...

In this paper, a fuzzy-secondary-controller-based virtual synchronous generator (VSG) control scheme for interfacing inverters of distributed generation units is proposed voltage and frequency regulation in microgrids. The shows significantly improved dynamic performance when compared with the conventional droop VSG through several case studies. Its effectiveness robustness further evaluated by sensitivity

With increasing penetration of wind power, it is recognized that manufacturer-specific models turbines are not appropriate for power system studies, and the equivalent model farms required by dynamic modeling poses a complicated technical challenge. In this paper, practical method with doubly fed induction generator (DFIG) proposed. Three critical steps involved in method. Step 1, turbine, incorporating complete fault ride through process constructed validated an operational DFIG turbine. 2,...

Modular Multilevel Converter based High Voltage Direct Current (MMC-HVDC) connected offshore wind farms could suffer serious challenges: DC overvoltage during a fault and post-fault voltage restoration. In this paper, to mitigate overvoltage, two-stage drop control scheme is proposed for MMC realize fast active power reduction, by coordinating with voltage-dependent current of individual turbines. The depths are designed considering the de-loading efficiency stability WTs. To improve...

As a new emerging approach, virtual synchronous generator (VSG) control for interfacing inverters in renewable distributed generation (DG)-based microgrids has attracted significant research interest. However, VSG cannot ensure proportional reactive power sharing among DG units when unequal transmission line impedances are involved, although active remains DGs. In this article, an adaptive impedance-based approach grid-connected and islanded is proposed to alleviate impedance difference at...

The coordinated operation of multiple microgrids (MGs) enables high penetration locally available distributed energy resources. It enhances the reliability and resiliency power network reduces cost energy. Although networked MGs have attracted significant research interests, validation various studies is difficult because there no benchmark test system for such systems. A can be used to validate static dynamic related networking MGs, as optimal flow, management, control, stability,...

A resilient power distribution network can reduce length and impact of outages, maintain continuous services, improve reliability. One effective way to enhance the system's resilience is form microgrids during outages. In this article, a novel dynamic microgrid formation-based service restoration method using deep reinforcement learning proposed, it treated as Markov decision process (MDP) while taking operational structural limitations into account. The Q-network employed obtain optimal...

In this article, an effective machine learning-based fault diagnosis method is developed for induction motors driven by variable frequency drives (VFDs). Two identical 0.25 HP under healthy, single-, and multifault conditions were tested in the lab with different VFD output frequencies motor loadings. The stator current vibration signals of recorded simultaneously steady-state each test, both are evaluated their suitability diagnosis. signal processing technique, discrete wavelet transform,...

Renewable energy becomes a key contributor to our modern society, but their integration power grid poses significant technical challenges. Power quality is an important aspect of renewable integration. The major concerns are: 1) Voltage and frequency fluctuations, which are caused by non-controllable variability resources. Their intermittent nature due ever-changing weather conditions leads voltage fluctuations at the interconnected grid. 2) Harmonics, introduced electronic devices utilized...

Machine learning has paved its way into induction motors fault diagnosis area, where supervised and deep have been employed. However, both methods require a large amount of labeled data to train the model, which pose significant challenges in real life applications. To overcome this issue, paper, graph-based semi-supervised (GSSL) is adopted develop method for direct online due GSSL's superior feature that only small needed training datasets. evaluate suitability, greedy-gradient max cut...

High voltage direct current (HVdc) transmission systems play an essential role in our modern power grids, not only providing bulk and asynchronous ac connection, but also enabling renewable energy integration into grids. Renewable through HVdc leads to the creation of multiterminal (MT-HVdc) Recently, idea electrifying remote communities by has emerged, multi-terminal small-scale grids have been investigated such applications. Despite numerous applications significant potential systems,...

Due to increasing penetration of renewable distributed generation (DG), conventional distribution networks have been gradually transforming into their active form, where microgrids may serve as fundamental building blocks. As the primary step towards microgrid planning, optimal DGs placement and sizing can reduce total energy losses by localizing power supply loads. In this paper, a DG method minimizing is proposed, planning formulated non-linear programming (NLP) problem. AC flow (OPF) used...

Synchrophasor technology, also known as wide-area monitoring system utilizes phasor measurement unit (PMU) to monitor real-time data, which can provide unique insights into the operation of a power grid. In this paper, rule-based data-driven analytics method for fault detection in using synchrophasor data is proposed. As approach, relies on rules created PMU and does not require knowledge system's topology model. It detect location (bus line) type particular event. Three common types short...

An improved single-machine equivalent method is proposed for wind power plants (WPPs) by calibrating the postfault recovery behaviors. A real WPP simulated with extensive scenarios to evaluate traditional model, and it found that its error mainly resulted from process. The simulation analysis further indicates a turbine operating at different speeds restores prefault active certain ramp rate after fault clearance, starting time. Taking two-machine as an example, analytical expression of...

In this article, a novel online decentralized event-triggered control scheme is proposed for class of nonlinear interconnected large-scale systems subject to unknown internal system dynamics and terms. First, by designing neural network-based identifier, the reconstructed. Then, adaptive critic design method used learn approximate optimal policies in context mechanism. Specifically, event-based processes different subsystems are independent, asynchronous, decentralized. That is,...