Transient stability assessment (TSA) is a cornerstone for resilient operations of today's interconnected power grids. This paper confluence quantum computing, data science and machine learning to potentially address the system TSA issue. We devise (QTSA) method enable efficient data-driven transient prediction bulk systems, which first attempt tackle issue with computing. Our contributions are three-fold: 1) A high expressibility, low-depth circuit (HELD) designed accurate noise-resilient...

To cope with the uncertainty and variability of wind power, it is important for power system to maintain adequate reserve capacity. The energy storage ability district heating (DHS) provides considerable flexibility combined heat (CHP) units, hence CHP can also participate in capacity service. However, operation restricted not only by its condition, but DHS which brings difficulty quantifying flexibility. This paper focuses on properly assessing utilizing available units as well addressing...

Electric power systems provide the backbone of modern industrial societies. Enabling scalable grid analytics is keystone to successfully operating large transmission and distribution systems. However, today's are suffering from ever-increasing computational burdens in sustaining expanding communities deep integration renewable energy resources, as well managing huge volumes data accordingly. These unprecedented challenges call for transformative support resilient operations Recently,...

Unit commitment (UC) problems faced by Independent System Operators on a daily basis are becoming increasingly complex due to the recent push for renewables and consideration of sub-hourly UC accommodate increasing variability in net load. A disruptive solution methodology address growing complexity is therefore required. Quantum computing offers promise overcome combinatorial through use so-called "qubits." To make best near-term quantum computers solve with much larger number binary...

This letter is a proof of concept for quantum power flow (QPF) algorithms which underpin various unprecedentedly efficient system analytics exploiting computing. Our contributions are three-fold: 1) Establish quantum-state-based fast decoupled model empowered by Hermitian and constant Jacobian matrices; 2) Devise an enhanced Harrow-Hassidim-Lloyd (HHL) algorithm to solve the QPF; 3) Further improve HHL efficiency parameterizing phase estimation reciprocal rotation only at beginning stage....

The uncertainty of wind power forecasting significantly influences systems with high percentage generation. Despite the error causation, temporal and spatial dependence prediction errors has done great influence in specific applications, such as multistage scheduling aggregated integration. In this paper, Pair-Copula theory been introduced to construct a multivariate model which can fully considers margin distribution stochastic characteristics errors. have modelled, their on integrations...

This letter devises a quantum electromagnetic transients program (QEMTP) which is the first attempt to tackle computational challenges in solving EMTP through computing. The main contributions lie in: (1) A quantum-enabled formulation with Dommel's model encoded states; 2) An Harrow-Hassidim-Lloyd (HHL)-based QEMTP solve discrete-time nodal equations; 3) iteration-based HHL revision for mitigating temporal errors achieve high accuracy of limited resources. Case studies verify correctness and...

An error-resilient state estimation is devised to calculate authentic states for microgrids equipped with hierarchical controls. New contributions include: 1) a incorporating droop control which helps mitigate errors due transient disturbance; 2) secondary-control-empowered microgrid leveraging power sharing and voltage regulation among DERs. Case studies demonstrate the robustness, efficiency excellent convergence performance of approach.

Transient stability assessment is examined in a data driven framework. The original transient are embedded into low-dimensional representation space using deep belief network (DBN) based nonlinear learning method. Specifically, unsupervised pre-training used to learn the distribution first, and then expected classification accuracy (ECA) index fine-tune parameters of DBN. structure power grid also considered process. In space, simple linear model utilized classify unstable cases from stable...

A neural ordinary differential equations network (ODE-Net)-enabled reachability method ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Neuro-Reachability</i> ) is devised for the dynamic verification of networked microgrids (NMs) with unidentified subsystems and heterogeneous uncertainties. Three new contributions are presented: 1) An ODE-Net-enabled model discovery approach to construct data-driven state-space which preserves nonlinear...

An integrative power flow approach is established for networked microgrids. Our new contributions include: 1) A distributed augmented (APF) algorithm microgrids devised to incorporate hierarchical control effects in/among microgrids; 2) Based upon APF, an enhanced continuation (CPF <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^+$</tex-math></inline-formula> ) explore operating regions of droop...

Quantum-empowered electromagnetic transients program (QEMTP) is a promising paradigm for tackling EMTP's computational burdens. Nevertheless, no existing studies truly achieve practical and scalable QEMTP operable on today's noisy-intermediate-scale quantum (NISQ) computers. The strong reliance noise-free fault-tolerant devices–which appears to be decades away– hinder applications of current methods. This paper devises NISQ-QEMTP methodology which the first time transitions operations from...

Quantum power flow (QPF) offers an inspiring direction for overcoming the computation challenge of through quantum computing. However, practical implementation existing QPF algorithms in today's noisy-intermediate-scale (NISQ) era remains limited because their sensitivity to noise. This paper establishes NISQ-QPF algorithm that enables on noisy devices. The main contributions include: (1) a variational circuit (VQC)-based alternating current (AC) formulation, which using short-depth...

Abstract In arbuscular mycorrhizal (AM) symbiosis, sugars in root cortical cells could be exported as glucose or sucrose into peri‐arbuscular space for use by AM fungi. However, no sugar transporter has been identified to involved export. An AM‐inducible SWEET transporter, GmSWEET6, was functionally characterised soybean, and its role symbiosis investigated via transgenic plants. The expression of GmSWEET6 enhanced inoculation with the cooperative fungal strain both leaves roots....

The rapid evolution of artificial intelligence has led to the widespread adoption Long Short-Term Memory (LSTM) networks, known for their effectiveness in processing sequential data. However, LSTMs are constrained by inherent limitations such as vanishing gradient problem and substantial computational demands. advent quantum computing presents a revolutionary approach overcoming these obstacles. This paper introduces Quantum LSTM (qLSTM) model, which integrates principles with traditional...

An ordinary-differential-equation (ODE) enabled reachable dynamics analysis approach is devised to provably enclose all possible dynamic trajectories of networked microgrids (NMs) under both uncertain renewable power injections and intermittent large disturbance events. As a formal verification tool for the NM dynamics, its new contributions are threefold: 1) ODE-enabled NMs model established with thorough formulation hierarchical control DERs as well network transients; 2) A hybrid...

Wind farm power data is an essential source for characteristics analysis of wind farms, and its precision highly influences the operation control power. Existing methods abnormal detection are mainly based on supervised or unsupervised algorithms, which may suffer from huge effort consumption artificial label-setting improvable respectively. In this paper, a semi-supervised anomaly method Density-Based Spatial Clustering Applications with Noise (DBSCAN) algorithm proposed. Supervision...

This letter devises a generalized eigenanalysis methodology for time-delayed networked microgrids (NMs) incorporating heterogeneous delays. The main contributions include: 1) it universal delayed dynamic model NMs under distributed control; 2) quantifies the impacts of delays on stability through an ODE-SOD-based eigensolver; 3) offers insights into effects cyber and physical interconnections NMs' performance. efficiency efficacy eigananalysis are thoroughly validated our high-fidelity,...