The increasing coupling between natural gas and electricity systems by gas-fired generation units brings new challenges to system analysis, such as pressure variations due consumption perturbations of units. emerging issues require revolutionary modeling analysis techniques. This paper proposes a novel model quantify power unit ramping the impact constraints from change on ramp rates plants. By utilizing Laplace transform resolve governing equations networks, proposed can significantly...

An analytical method based on generalized polynomial chaos (gPC) is proposed for probabilistic load flow (PLF). The preserves the nonlinearity of power equations whose rectangular formulations are adopted to facilitate gPC expansion. feasibility demonstrated by case studies from a 9-bus system.

With the growing penetration of distributed renewable energy, control approaches are widely utilized in voltage active distribution networks (ADNs), suffering from limited applicability for devices or heavy communication burden. This paper develops an innovative strategy ADNs with global sensitivities (DVC-GS), which integrates network information a optimization view to coordinate energy storages, PV inverters and OLTC little computing time. The violations across all buses respect nodal...

Power flow calculation in quasi-steady states is the basis of cascading failure analysis. However, recent years, data-driven analysis methods that are based on sufficient data have put forward higher requirements speed power calculation. To build a more accurate and efficient neural network for calculation, physics-informed graph network-based model proposed faster Via minimizing loss function using pre-training/fine-tuning method, trained to follow physical equations directly can generalize...

A novel method for globally approximating the static voltage stability region boundaries (SVSRBs) of power systems is proposed by applying parametric polynomial approximation to criterion equation which defines SVSRB. Known as Galerkin method, implicit function portraying SVSRB described a linear combination basis functions, and coefficients functions are obtained projecting onto each function. The guarantees high precision in whole domain parameter interest rather than only neighborhood...

The rapid development of renewable energy sources has led to critical voltage problems in sending‐end systems, necessitating reactive power auxiliary devices and corresponding control strategies. This paper proposes a novel model predictive excitation controller for synchronous condenser, coordinated with the wind farms (WFs) without communication, provide mitigate fluctuations. proposed predicts future behavior system determines optimal input using (MPC) algorithm extended linearized state...

Commutation failures (CFs) are usually triggered by the voltage dips caused faults in receiving-end systems. To reduce probability of CFs, counter measures to should be implemented, among which adding dynamic var sources (DVSs) is very helpful. In this paper, an optimal allocation method for DVSs proposed maximize benefit installed. First, CFs quantified based on concept area vulnerability where detailed ac network considered. order find most effective locations installing DVSs, a 0-1...

When renewable energy penetration increases and the power network becomes more complex, vulnerability security concerns typically also become prevalent. A proper evaluation method focused on risk prediction failure identification is required in modern systems. In our work, a novel framework with high efficiency accuracy proposed, where influence of over/under-voltage generators considered during cascading process. graph convolutional long short-term memory are applied to describe complex...

Many problems in power systems depend on parameters, which could be stochastic variables or deterministic system control practically, e.g., generation outputs, nodal voltages, etc. Due to the nonlinearity of systems, analytical relation between states and parameters cannot obtained directly. Using sampling method evaluate influence is very powerful but time-consuming. One feasible approach use polynomial approximations, where are approximately expressed form polynomials terms parameters....

The scale-up of AI models for analyzing largescale power systems necessitates a thorough understanding their scaling properties. Existing studies on these properties provide only partial insights, showing that loss function decreases predictably with increased model scales; yet no law system has been established, and performance remains unpredictable due to “emergent abilities”. This study pioneers the discussion emergent abilities graph neural network (GNN) large-scale systems, revealing...

Abstract The access of a high proportion renewable energies has deepened the randomness and complexity cascading failures (CFs) in power systems. In this regard, real‐time risk assessment method for CFs systems with new energy is proposed. First, combined historical statistical data relevant national standards, CF simulation model that considers off‐grid protection action units event grid fault based on continuous steady‐state flow model, which simulates spread via calculations. Second,...

Abstract The worldwide occurrence of wind droughts challenges the balance power systems between energy production and consumption. Expanding inter‐day storage serves as a strategic solution, yet optimizing its capacity depends on accurately modeling future renewable uncertainties to avoid over‐ or under‐investment. Existing approaches that use historical extreme scenario set (HESS) represent conditions are contentious due potential inadequacies in forecasting scenarios (ESs), including those...

In power systems, there are many uncertainty factors such as outputs of distributed generations and fluctuations loads.It is very beneficial to system analysis acquire an explicit function describing the relationship between these (namely parameters) states (or performances).This problem, termed parametric problem (PP) in this paper, can be solved by Galerkin method, which a powerful mathematically rigorous method aiming seek accurate approximate projection techniques.This paper provides...

Abstract Recently, distributed cooperative control has been popularly used in the secondary of microgrids due to its reliability and flexibility. However, traditional schemes based on fixed‐cycle communication usually result a waste resources. Thus, this paper proposes an event‐triggered strategy that can significantly reduce requirements communication. In addition, compared with existing schemes, proposed algorithm achieve goal directed graph, which be applied more scenarios, especially for...

In traditional high-voltage direct current systems, alternating system faults can lead to commutation failures, which may further induce the blocking of converters. After are cleared, fast recovery commutating voltage, as one key factor avoid converter blocks, is closely related dynamic voltage support. The behaviour considering reactive power characteristic converters analysed, where polynomial approximation applied facilitate our studies. Focusing on synchronous compensator, transient...

A high proportion of new energy sources are connected to the grid, which not only alleviates shortage, but also brings hidden dangers safe and stable operation grid. Aiming at inadequate consideration uncertainty caused by such as wind power being a method for identifying voltage-dominant cascading fault types is proposed. analysis model in sense probability established. Based on data, nonlinear mapping relationship between initial propagation characteristics established through neural...

A novel method for globally approximating the static voltage stability region boundaries (SVSRBs) of power systems is proposed by applying parametric polynomial approximation to criterion equation which defines SVSRB. Known as Galerkin method, implicit function portraying SVSRB described a linear combination basis functions, and coefficients functions are obtained projecting onto each function. The guarantees high precision in whole domain parameter interest rather than only neighborhood...

The probabilistic load flow (PLF) problem is solved by a new approach named generalized polynomial chaos (gPC) method. This method combines the techniques of gPC expansion and Galerkin transforms PLF equations into set deterministic equations. After being conventional methods, means variances random variables can be easily obtained density functions relevant estimated Monte Carlo simulation. in rectangular form are adopted to avoid high order truncation errors expansions Compared with other...

<p>Several natural disasters worldwide have demonstrated that the severity of extreme weather events (EWEs) on power systems can be increased by adversely affecting renewable power. Generating scenarios specific to EWEs is crucial for effective implementation resilience-oriented operations and planning in incorporate a high proportion energies. Despite significant progress achieved recently, it remains formidable challenge produce high-quality samples from limited dataset due low...

An adaptive control of phase lock oscillator (PLO) is proposed to increase the ability LCC-based HVDC systems successfully recover from commutation failure, where dynamic performance during recovery process improved. The one most important parts system, which used trace angle commutating voltage. However, PLO with constant parameters cannot provide accurate information under both steady-state operation and large disturbances. In our work, can be adaptively adjusted, following states When...

The main objective of the black-start in a terminal distribution network is restoring regional blackout. Aiming at problem that there are multiple optimization objectives process black start, start model with comprehensive consideration established, considering minimum switching operation cost, maximum recovery efficiency and priority important load. Then, constraints voltage frequency stability put forward. heuristic algorithm such as binary particle swarm cannot get global optimal...