The situation of current research on power losses allocation in bilateral electricity markets is presented. Based cooperative game theory, a novel nucleolus theory-based method for under the bilateral-transactions model put forward and compared detail with Shapley-value-based method. impacts different market players network are taken into account. With new method, can be allocated to each transaction reasonably. results would not affected by sequence that formed active. answers open, equal,...

Abstract Current methods for bearing fault diagnosis often fall short in addressing data privacy concerns and typically rely on one-to-one transfer strategies, which are inadequate achieving knowledge distributed environments. To address this issue, a method rolling bearings based federated learning is proposed. This ensures while integrating from multiple domains, thereby enabling more efficient transfer. Specifically, domain adversarial neural network (DANN) introduced as the base model...

Power systems can be affected by unpredicted and unavoidable faults failures, making security assessment an important challenge, which requires significant research works. An overview of this critical area, as presented here, shows that the has transformed from a deterministic to risk-based methods, with two broad categories, risk identification. First, detailed discussion is given summarise different methods solve problems equipment failure probability model, scenarios formation, severity...

Body cleanliness is considered an important indicator for evaluating cow welfare. At present, assessing the of different body parts as a subjective and labor-intensive task. Automatic scoring needs to start with segmentation. Despite fact that pattern recognition methods human detection analysis have flourished in last decade, computer vision body-part scarce literature, most video images recognizes segments whole, not using all part information. This study presents method automatically...

Loss Allocation is a crucial task in power transmission and distribution services, as it essential for reconciliation of generator-user settlement results. With the availability distributed generation recent years, can flow both directions along transformers mainlines traditional networks. This makes difficult to calculate losses active networks correct transactions between generators users. In this paper, we propose concept Virtual Contribution Theory construct virtual contribution matrix...

Accurately identifying the key links in active distribution network (ADN) that affect system's safety and stability is of great significance to improve efficiency operation maintenance risk early warning for (DN). In this study, node resilience (NR) first proposed as an indicator structural identification DN. Then, a critical method considering security, economy structure ADN proposed, which uses NR, utility risks branch load change, voltage deviation line loss variation indicators. Also,...

Contaminated gases emissions from livestock industry are becoming one of the most significant contributors to increasingly serious environmental pollution. To find a way reduce emissions, it is essential reveal factors that can affect emissions. In this study, concentrations typical (including ammonia (NH3), carbon dioxide (CO2), hydrogen sulfide (H2S), and sulfur (SO2)) generated naturally-ventilated dairy cow barns were detected through sample-data method in Tianjin, northern China. Indoor...

Abstract Electromagnetic transient programs (EMTPs) are widely used for simulating electromagnetic in power systems. With the increasing interest integrated energy system (IES), it would be beneficial to extend scope of EMTP‐type application multi‐physics transients electrical and gas networks. An efficient accurate model pipeline is proposed EMTP simulation pneumatic transients. The split into a number segments using spatial discretization. Analogies between electric quantities, such as...

With the consumption of new energy and variability user activity, accurate fast demand forecasting plays a crucial role in modern power markets. This paper considers correlation between temperature, wind speed, real-time electricity proposes novel method for short-term market. Kernel Support Vector Machine is first used to classify combination with temperature then temporal convolutional network (TCN) extract relationships implied information day-ahead demand. Finally, Gradient Boosting...

The mechanical and electrical development in dairy farming China increases energy-related carbon emission (CE). To support the sustainable planning strategy of department, this study calculated CE intensity (CI) direct energy consumed farms from 21 provinces China. Through four dimensions analysis including national level, farm scale, inter-provincial distribution, main producing area, illustrates impact environment, production, management on CE. total nationwide was about 2.4 Tg CO2 eq....

This study proposes a novel protection scheme for residual current devices (RCDs) based on the theory of skewness and least squares-support vector machine (LS-SVM). The is applied to detect electric shock fault time, LS-SVM regression technique used perform touch identification. experimental test results indicate that can not only time correctly rapidly but also effectively recognise circulation through animal's current. Moreover, proposed provide valuable information developing new generations RCDs.

With the widespread use of new energy sources and Internet things, power market landscape has become complex. In particular, is more stochastic volatile; it prone to problems inaccurate forecasting on longer time scales, affecting electricity trading. This study proposes a method for predicting medium-term load series data based transformer-lightGBM. The first preprocesses data, including missing value processing, outlier overall analysis, correlation extract features with strong consumption...

Energy router based on power electronics technology is the key equipment to build Internet and realize flexible transformation of operation control DGs. In this paper, a cascade structure household energy circuit applied, which former converter can achieve bi-directional flow, DC link realizes access DGs, storage plug play, latter supply for AC loads as well connect grid. The mathematical model established respectively, coordinated strategy are proposed, distribution characteristics...

In order to solve the refusing action and maloperation problem of electric shock living organisms Residual Current operated protective Device (RCD) in low voltage distribution network, an impedance modeling method is proposed this paper. Trough building up experiment test bed organisms, current data are collected. After filtering original signal, signal transformed from time domain frequency by using Fast Fourier Transform. Electric power component can be extracted. The total amplitude phase...

Electric shock current identification is essential for the safety in power distribution network. Moreover, as different categories of object have electric characteristic, a classification model to be proposed before identification. Therefore, authors two-stage framework, including AdaBoost and an improved support vector machine (SVM) method In stage, learns hidden pattern generates predictive classification. Based on results, fusion called SVM–NN which based SVM neural network (NN) make...

High-accuracy and fast detection of voltage fluctuation flicker is the basis analyzing event controlling its hazards. Here, a new method based on Blackman-windowed short time Fourier transform (B-STFT) proposed for signal. Extracting rated frequency spectra achieved from B-STFT amplitude matrix analyzed signal, envelop, magnitude carrier signal fundamental component modulator can be detected. This not only suited stationary but also short-time time-varying It handle harmonic-carrier as well...

To solve the problems of incorrect operation, failure action and low operational percentage on Residual Current Operated Devices (RCDs) in domestic rural power distribution network, an amount electric shock signals were demanded to study identifying extracting method electrical current. In this paper equivalent circuit model human body against was studied. The frequency characteristic let-go current according proposed tallied with testing results Dalziel [1-2]. Considering skin dry...

With the development of distribution network, distributed generation such as wind and photovoltaic (PV) power will become increasingly prominent in near future. PV is widely constructed because advantages it has. However, volatility randomness makes more complex than traditional energy security assessment network. Based on risk theory, considering PV, node low voltage index line overload are established this paper. Also, K (N - 1 + 1) principle for network which developed from (N-1)...