The IoT based Power management system requires data from the feeder in grid. Sufficient power supply with demand is a significant challenge for several countries around world. RaPID growing quality enhancement to get higher reliability smart This sensor equipped that measures grid capacity and update organization on consistent schedule. Energy supplies specific region indicated by install grid; use global mobile communications (GSM) messaging service notify customers of generation time....

Online monitoring of the mechanical performance onload tap changers (OLTCs) within high-voltage (HV) power transformers is utmost significance for a safe, stable, and reliable operation systems. This paper investigated novel strategy based on Hidden Markov Model (HMM) fault diagnosis OLTCs. With partition, normalization, vector quantization spectral density obtained vibration signals, feature extraction methodology was presented discrete spectrums which, to farthest extent, could retain...

Water and energy are key elements to accomplish the Sustainable Development Goals (SDGs) of human society. The aim this study is acknowledge enhance efficiency water-energy-related use (WERU) systems from a sustainable perspective. This paper proposes dynamic parallel-series data envelopment analysis model assess WERU towards targets SDG 6 7. system with structure consists water supply (WS), (WU), (ES), (EU) subsystems. To investigating role digital economy in enhancing 30 provinces China...

The renewable energy based smart grid present a stable power supply system with low carbon emissions. adaptability of work in grid-related approaches allows microgrids to load reliably. This research proposes self-healing method large different purpose. proposed technologies include re-dispatch generation, reconfiguration organizations, and restrictions. Smart network problems are defined as integer quadratic problems. paper presents flexible model solution promote horizontal generation....

In order to improve the intelligent diagnosis level of an on-load tap-changer’s (OLTC) mechanical condition, a feature extraction method based on variational mode decomposition (VMD) and weight divergence was proposed. The harmony search (HS) algorithm used optimize parameter selection relevance vector machine (RVM). Firstly, OLTC vibration signal decomposed into series finite-bandwidth intrinsic function (IMF) by VMD under different working conditions. extracted characterize complexity...

Industrial energy management is intended for the most significant specific indicator of Energy Framework. Although it much involved in growing generation and distribution due to demand-side increasing awareness research. In a deregulated power marketing system, that dynamic critical condition between utilities industrial consumers supply management. The smart grid topology maintaining ability provide facilities be competitive internationally. measures maintain framework terms consumption....

Timely and accurate forewarning of solar power ramp events (SPREs) is crucial for a system operation. In this article, novel method SPREs proposed based on credal network (CN) imprecise Dirichlet model (IDM). A new expression SPRE proposed, which focuses the change caused by meteorological fluctuation. Considering that single-valued probability may not provide convincing results in case insufficient event records, interval adopted to reflect ambiguous correlation between conditions. The...

Reactive molecular dynamics was introduced to simulate and study the mechanism of H2O formation on pyrolysis process insulating paper using reactive force field (ReaxFF). Models consisting fifteen cellobiose molecules were built for ensuring reliability simulation result. Simulations performed at 1600 K, 1800 2000 K. Multiple simulations carried out facilitate statistics. In process, a large amount generated. The dehydration reaction divided into three ways: (a) H captured by secondary...

Abstract With the rising demand for environmental protection, wind energy has made considerable progress as a clean source. Due to uncertainty of power generation, accurate forecasting is conducive achieving stable grid-connected control turbines. This paper proposes an ultra-short-term model composed variational modal decomposition (VMD) and long short-term memory (LSTM) networks. Obtain recorded historical speed from field data acquisition monitoring system (SCADA), use VMD decompose...

Nonintrusive load monitoring (NILM) has become a key technology in the power Internet of Things as well an important information source for characteristics analysis. Whether selected features are appropriate determines effectiveness identification NILM. In order to reduce redundancy and improve relevancy features, feature selection method that balances is proposed. Based on approximate Markov blanket decision, this article puts forward basis set elimination. This used determine priority by...

Demand response measure is very important to improve electricity market function. In order maximize their profit, large industrial or commercial consumer prefers redistributing load between periods reducing absolutely in demand program. Considering day-ahead generation scheduling then need deal with more complicated coupling constraints. To solve the problem, a Lagrangian relaxation method combined variable duplication technique presented this paper. Test performed 10-unit system. Results...

Abstract The developing power supply characterises in smart grid networks of the system with high quality (PQ) for digital economy as one attributes. Consumers need good to meet demand. consider reliable that is not affected by interruption and clean energy without unstable influence. focus this paper on reducing economic impact. As a result vital role sophisticated, intelligent devices accept today’s attention PQ beneficial.T he level transmitted can change from different “standard” to”...

This paper introduces the multiple linear regression, stepwise neural network method, and improves network. Comprehensive analysis of current prediction methods, application principle a detailed comparison various methods advantages disadvantages. Put forward to improve short-term load forecasting accuracy is not only attach importance accumulation historical data, more should pay attention choose right model, integrated model future development direction power method.

In the development of smart grid solutions, contribution industrial consumers is prime essential to ensure energy system transformation. The present article introduces a covenant with implementation an economic dispatch (ED) in electrical framework grid. proposed ED strategy comprised two steps; first step includes swarm optimization technique net loss power and second consists that considers cutoff points security. goal minimize foundation generator cost function. test four generators one...

Demand response (DR) is important to account for behaviors of the demand side yield an optimal dispatch result. However, it difficult energy suppliers collect customers' private information unless there incentive mechanism customers do so. Therefore, this paper proposes a new integrated generation–consumption based on compensation considering DR behavior. Firstly, in light day-ahead load forecast data, we deduce utility function model different customers. By subtracting generating units'...

Abstract In the recent decade, temporary frequency support derived from variable speed wind turbine generator has been drawing increasing attention in electronic‐growing power system. Frequency nadir and rate of change are two key indicators strives to improve. This paper proposes a novel insight on regulation power. Note that considerable part load is shared by synchronous generators system still will be dominated former for period time. Simultaneously taking characteristic balance into...