An algorithm based on a nonlinear interior-point method and discretization penalties is proposed in this paper for the solution of mixed-integer programming (MINLP) problem associated with reactive power voltage control distribution systems to minimize daily energy losses, time-related constraints being considered. Some these represent limits number switching operations transformer load tap changers (LTCs) capacitors, which are modeled as discrete variables. The variables treated here...

Conventionally, the 2-parameter Weibull model, Arrhenius-Weibull has been used vastly for transformer aging-dependent unavailability modeling. However, this model only uses lifetime feature to describe transformer's degradation process and calibrate parameters, which harms accuracy of forecasting. In response, paper develops a 3-calibratable-parameter evaluating unavailability. proposed both individualized aging threshold are taken into calibration parameters accurately characterize...

The icing on transmission lines threatens the power system security while heat caused by losses can prevent growth. This paper proposes a preventive scheduling model for mitigating glaze optimizing distribution of ice-coated lines. An analytical growth is established based balance theory, which builds direct relationship between and losses. Accordingly, embedded into proposed to quantify impact schedules line reduce co-optimizes active dispatch, demand response, reactive optimization...

The reliability of the power supply in low-voltage distribution networks plays a crucial role efficient system operation. Faced with growing demand for electricity and diverse usage patterns users, existing management approaches struggle to meet varying needs different groups. This paper proposes assessment model that is based on user demands integrates Delphi method gray relational analysis provide an innovative approach network tiered classification management. study focuses certain area...

Amid the rapid growth of new energy vehicle industry and accelerating global shift toward green low-carbon alternatives, this paper develops a multi-objective optimization model for an Electric Vehicle Integrated Energy Station (EVIES) high-rise building wind-solar-storage sharing system. The aims to maximize daily economic revenue EVIES, minimize load variance on grid side building, reduce overall carbon emissions. To solve problem, Multi-Objective Sand Cat Swarm Optimization Algorithm...

Distribution transformers (DTs) are critical components used in power distribution networks, and they vulnerable to aging failures due irreversible insulation degradation. Therefore, the accurate estimation of aging-related failure rates (AFRs) is necessary for reliability-centered maintenance replacement strategies needed ensuring service reliability safety. Various data-intensive models have been proposed AFR evaluation equipment. However, these cannot be DTs limitation available data....

High-voltage circuit breakers (HVCBs) are important components for reliable operation of power systems. Due to irreversible degradation, effective estimation the aging-dependent failure rates HVCBs is crucial fit-for-purpose maintenance strategies. Many data-intensive models previously proposed rate evaluation cannot be extended CBs without sufficient aging-related condition monitoring data. This article proposes a hybrid knowledge-based and data-driven approach estimating heterogeneous...

This paper proposes a novel repair rule set (RRS) for scheduling the power system infrastructure after occurrence of extreme events. RRS is made up multiple rules, each them can be applied in arbitrary post-disaster failure scenarios to rank actions by priority. A learning-to-rank technique called AdaRank used train rules combining weak learners derived from dynamic model. Then, constructed iteratively clustering training cases and retraining cluster. Increasing number within allows it...

Evaluating the real-time failure rate of transformers can effectively guide planning maintenance and reduce their risk. This paper proposed a novel transformer model that considers impact based on daily oil chromatographic monitoring data mining. Firstly, to ensure quality modeling data, an improved k-nearest neighbor (KNN) algorithm genetic (GA) is repair missing data. The repaired then mapped equivalent state duration (ESD) by M-BPNN proposed, which used modify multistate Markov process so...

As the global focus on environmental conservation and energy stability intensifies, enhancing efficiency mitigating pollution emissions have emerged as pivotal issues that cannot be overlooked. In order to make a multi-energy-coupled integrated system (IES) can meet demand of load diversity under low-carbon economic operation, an optimal capacity allocation model electricity–heat–hydrogen IES is proposed, with objectives minimizing operating costs pollutant peak-to-valley loads grid side....

It is difficult to evaluate the performance of different companies feasibly and fairly only depending on experts. An evaluation model based TOPSIS (Technique for Order Preference by Similarity Ideal Solution) built solve this problem. In model, method data processing algorithms are analyzed detailed. By means eight electric power supply bureau Chongqing evaluated in paper, results show reasonably.

The installed capacity of renewable energy has continued to increase in recent years, causing excess power be transmitted neighboring provinces by DC transmission with wind and thermal bundling. However, increasing coal cost decreasing investment benefit power, the economic decreased. Therefore, this paper proposes a method that replaces unit assume peak regulating function system. First, novel heat storage strategy for concentrating solar (CSP) stations is established. On basis, CSP station...

As the most critical equipment for electricity transmission, power transformers (PTs) generally have irreversible insulating degradation, which makes them susceptible to aging breakdowns. Predicting aging-related failure probability (AFP) of PTs as precisely possible is beneficial reliability-centered maintenance and retirement strategies. This paper proposes a Long Short Term Memory (LSTM) network Particle Swarm Optimization (PSO) combined prediction approach this essential task. Firstly,...

The time of use (TOU) electricity pricing is one the electric demand response (DR) strategies and has been widely used in electrical power systems. reasonable partitioning peak, flat valley periods prerequisite for setting price TOU. This paper proposes a peak-flat-valley (PFV) period model based on improved K-medoids algorithm. To address instability problem divided caused by random selection initial centers conventional clustering methods like k-means algorithm, proposed employs maximum...

One of the main recent challenges that face power system utilities is managing risk associated with component aging. To effectively quantify and analyze this risk, paper proposed a novel reliability evaluation framework can accurately integrate non-repairable aging failures in analysis. First, sophisticated model for was established based on 3-parameter Weibull distribution. Subsequently, calculation method unavailability due to developed using discretization approach, generating state...

Abstract This paper studied the characteristics of time and energy consumption gear hobbing in batch production small modulus gear. A method integrating design experiment, response surface multi-objective salp swarm algorithm (DOE/RSM/MMSA) is proposed for complex optimization machining parameters (namely hob rotation speed, cutting feed depth cut) process. uses three-level factorial to experiments, carries out mathematical statistical analysis on experimental results. It found that most...

To solve the voltage control problem caused by high penetration level of distributed photovoltaic (DPV) in distribution network (DN), based on characteristics reactive power compensated PV and voltage-controlled PV, a multi-time scale coordinated method point common coupling (PCC) power/voltage optimization is proposed.On long-time scale, an optimal dispatch (ORPD) model considering chance constraint proposed, which sets minimum operating cost as its target, including adjusting discrete...

In view of the importance proper gate location and size in mould design process, with basic analog theory for simulating filling process plastic melts cavity injection moulds, moulding CAE technology was proposed optimum size. Based on Moldflow software, analysis best stated. The technical parameters were optimized this paper by example. optimal rectangular dimension 5mm×2.5mm, state fine, time reduced from 0.72s to 0.69s. It resulted products high previewed quality, cost production enhanced...

Demand response (DR) is a reserve resource that affects the system reliability by guiding consumers to change their electricity consumption patterns actively, thus achieving reduction of peak load. However, price elasticity curve difficult predict, which provides an uncertain dimension for assessment generation and transmission systems, so it urgent analyze load profile after considering DR inherent uncertainties. Therefore, this paper first proposes uncertainty index HI describe consumer's...

This paper presents a method for modeling and analyzing music recognition problems. The presented is hidden Markov chain (Hidden Models, HMM) combined with artificial neural networks (Artificial Neural Network, ANN). can be considered as an improvement of the classical HMM use ANN. In this paper, algorithm implementation discussed. then applied to actual classification problem. An analysis its performance compared conventional HMM-only ANN-only provided. process model faster but suffers...

Critical equipment in various industries depends on solar power systems to provide electrical for remote, off grid operation. Failure of cells reduces generated by a system. This paper discusses strings consisting mixed type terms failure probability values, due differences the cell itself (such as composition, geometry, bypass diodes, interconnects, etc.) or applied stresses from external factors. A loss model is developed string with two different types cells. Both are subject failure,...