Unbalanced operation of a three-phase distribution system could incur more power losses, compared with the balanced operation. So far, phase information users in low voltage areas is not recorded by utilities and unbalance degree very significant some systems. Given this background, letter presents an integrated method for solving related issues including user identification based on spectral clustering mitigation, Mixed Integer Linear Programming (MILP) model then formulated. Some actual...

With the deployment of phasor measurement units (PMU) and wide area system (WAMS), it is feasible to have an insight into events occurred in power systems based on measured data. Thus, a novel data-driven algorithm local outlier factor (LOF) proposed this work detect locate using reduced PMU First, unequal-interval reduction method presented reduce scale data sub-stations reconstruct master station WAMS, which can relieve burden communication systems. Then, principle component analysis...

With the development and wide deployment of measurement equipment, data can be automatically measured visualized for situation awareness in power systems. However, cyber security systems is also threated by spoofing attacks. This letter proposed a source authentication (MDSA) algorithm based on feature extraction techniques including ensemble empirical mode decomposition (EEMD) fast Fourier transform (FFT), machine learning real-time classification. Compared with previous work, achieve...

With the fast growth of renewable energy sources (RES), more and uncertainties are involved influencing stable operation power systems. Controlled islanding is last measure to prevent system blackouts, thus this paper aims propose a novel model separation based on Online Coherency Identification Adjustable Robust Optimization Programming (OCI-AROP) for minimizing load shedding considering RES. First, Fuzzy C-Means (FCM) clustering method with F-statistics utilized identify coherent generator...

Accurate event identification is an essential part of situation awareness ability for power system operators. Therefore, this work proposes integrated algorithm systems. First, to obtain and filter suitable inputs identification, detection trigger based on the rate change frequency (RoCoF) presented. Then, wave arrival time difference-based triangulation method considering anisotropy propagation speed utilized estimate location detected event. Next, two-dimensional orthogonal locality...

Chronic wounds caused by severe trauma remain a serious challenge for clinical treatment. In this study, we developed novel angiogenic 3D-bioprinted peptide patch to improve skin wound healing. The technology can fabricate individual patches according the shape characteristics of damaged tissue. Gelatin methacryloyl (GelMA) and hyaluronic acid (HAMA) have excellent biocompatibility biodegradability, were used as biomaterial produce bioprinted patches. pro-angiogenic QHREDGS was covalently...

With the ever-increasing penetration level of renewable generation sources, a modern power system is facing more inevitable uncertainties that could lead to weakly damped oscillations. Detecting coherency among synchronous generators one key steps situational awareness for given with very high penetration. In this paper, wide-area measurement (WAMS) based detection algorithm employing kernel principal component analysis (KPCA) and clustering on affinity propagation (AP) proposed extensive...

Background When a power system blackout occurs, it affects the economy of country and every aspect human life. Cascading failures can easily occur cause major in grid due to breakdown or failure important nodes links. Recently, transmission network reconfiguration (TNR) becomes hot topic has made many concerns after blackouts systems. Aims TNR is second-stage action plan restore systems plays role process restoration. On other hand, resilience involves quick dynamic minimize propagation...

As the physical carrier of Energy Internet, integrated energy system (IES) is a future development trend in field, and optimal scheduling IES for improving utilisation efficiency has become hot topic. An day-ahead model multiple IESs considering demand response (IDR), cooperative game virtual storage (VES) proposed innovatively this study to maximise overall benefits alliance. IDR VES are considered together first time optimise internal each IES, where can enhance potential on side improve...

Electricity theft behaviors have caused great harm to the economic benefits of power companies and secure operation systems, thus electricity detection is paid much attention in actual supply management. In this work, a two-step strategy proposed identify users predict potentially stolen (PSE) for maximizing return. first step, neural network model called convolutional autoencoder (CAE) identification, layer adopted CAE extract abnormalities against uniformity periodicity normal consumption...

As the largest developing country in world, China has promised to peak carbon dioxide emissions before 2030 and achieve neutrality 2060 mitigate greenhouse effect. In meantime, electric power industry is playing a key role achieving this ambitious target through "electricity substitution" "clean strategies constructing "new type of system". Given background, specific detailed model for supply structure transformation (EPSST) proposed rapid communication first time, which helps analyse more...

When power systems encounter outages and large-scale blackouts, system restoration is critical should be carried out with dedicated schemes. In this past, most studies divided the into three stages (i.e., black-start zone partitioning, network reconfiguration, load restoration) deal them separately. After that, few considering together were emerging while support of multiple flexible resources, i.e., renewable energy source (RES), electric vehicle (EVS) storage (ESS), not considered...

Electricity theft has been a major concern to the secure operation of power systems and interests companies. Due different methods types electricity behaviors, it is difficult determine suspicion levels consumers in research detection. An detection method based on stacked autoencoder (SAE) undersampling resampling random forest (UaRe-RF) algorithm proposed this work formulate appropriate strategies for practical requirements company. In method, supervised SAE first trained extract...

This paper proposes a novel Semi-Dynamic Hypergraph Neural Network (SD-HNN) to estimate 3D human pose from single image. SD-HNN adopts hypergraph represent the body effectively exploit kinematic constrains among adjacent and non-adjacent joints. Specifically, in has two components. One is static constructed according conventional tree structure. The other semi-dynamic representing dynamic different These hypergraphs are combined together be trained an end-to-end fashion. Unlike traditional...

HVDC system can realize a very fast frequency response to the disturbed under contingency because its active power control is decoupled from deviation. However, most of existing strategies are coupled with primary and secondary control. Since traditional dominated by thermal generators, advantage not made fully used. The development estimation based on machine learning algorithm provides another approach improve capability system. Different other deviation tracking strategies, directly...

The development of cathode materials has always been the key to improve performance aqueous zinc-ion batteries (AZIBs). issue material dissolution in electrolytes is a critical problem that needs urgent attention and exact solutions. In this article, composed Ba0.26V2O5·0.92H2O nanobelts successfully synthesized. AZIBs using as deliver high capacity up 384.93 mA h g–1 at 0.05 A g–1, owing resident cation Ba2+ crystal water vanadium oxygen layers, which enlarge interlayer distance...

Abstract Under the background of carbon neutrality and large‐scale penetration renewable energy, integrated local energy system (ILES) has been extensively recognized as an effective way to reduce emissions improve consumption level due its high utilization multiple complementarity. Hence, optimal low‐carbon scheduling model ILES considering oxygen‐enriched combustion plant (OECP) generalized storages (GESs) is proposed in this paper emissions, operating costs ILES. More specifically,...

Automated diagnostic systems (ADS) have shown significant potential in the early detection of polyps during endoscopic examinations, thereby reducing incidence colorectal cancer. However, due to high annotation costs and strict privacy concerns, acquiring high-quality images poses a considerable challenge development ADS. Despite recent advancements generating synthetic for dataset expansion, existing image generation algorithms failed accurately generate details polyp boundary regions...

Formulating typhoon response plans and effectively implementing them can improve the resilience of coastal power systems. This type plan mainly includes line hardening unit dispatching. Initially, main scenarios are determined based on historical data, failure conditions simulated. Furthermore, a commitment flow optimization model is established to determine optimal dispatch instructions. During real-time events, intensity path may deviate from scenarios, necessitating flexible execution....

With the grid's evolution, end-users demand becomes more vital for side management (DSM). Accurate load forecasting (LF) is critical power system planning and using advanced response (DR) strategies. To design efficient precise LF, information about various factors that influence required. In this paper, impact of different on electrical capacity climatic existence their variation discussed analysed. The Pearson correlation coefficient (PCC) utilized to express degree electric with...

The power system frequency is important for the overall stability. However, there does not exist a single measurement point of due to distributed nature inertia and small inconsistency different generator rotors' electrical speeds in one synchronized system. This paper proposed new approach calculate center-of-inertia (CoI) rate-of-change-of-frequency (RoCoF) more accurately using PMU data at multiple locations. CoI RoCoF value were further used assist fast estimation imbalance MW amount...