The prediction of fault type in transformers at an early stage is important aspect for power system reliability. Checking the transformer status begins with dissolved gas analysis (DGA) test. Rogers' four-ratio and IEC 60599 standard methods are commonly DGA-based techniques that used to detect faults. These very easy implement, but their diagnostic accuracies poor. target this work build a new PSO-FS optimization platform identifying optimal limits ratios corresponding rules each enhance...

The transformer fault diagnosis based on dissolved gas analysis is greatly affected by the uncertainties existing in measured data during oil sampling, handling and storage. This work aims to develop an efficient code matrix percentages for accurate considering measurement uncertainties. Fuzzy system utilized produce rules that map limits of ratios different types. Each percentage range divided into three regions represented fuzzy memberships. then developed relate type. membership are...

Future smart grids will require an observable, controllable and flexible network architecture for reliable efficient energy delivery. The use of artificial intelligence advanced communication technologies is essential in building a fully automated system. This paper introduces new technique online optimal operation distributed generation (DG) resources, i.e. hybrid fuel cell (FC) photovoltaic (PV) system residential applications. proposed aims to minimize the total daily operating cost group...

Recently, micro-grids (MGs) have had a great impact on power system issues due to their clear environmental and economic advantages. This paper proposes an equilibrium optimizer (EO) technique for solving the energy management problem of MGs incorporating storage devices concerning emissions from renewable sources (RES) MGs. Because imprecision uncertainties related RESs, market prices, forecast load demand, optimization is described in probabilistic manner using 2m + 1 point estimation...

This paper presents an application of Artificial Neural Network (ANN) for monitoring transient stability assessment (TSA) considering system topology changes. Offline trained ANN makes use the advance online TSA in specifying proper remedial action real time power operation to counteract instability. The training is executed using important selected features as inputs and critical fault clearing (CCT) at pre-selected set contingencies desired target. CCT considered indicator criterion....

The study presents a framework for online power system dynamic stability enhancement with new market-based rescheduling approach. objective is to solve the transient and oscillatory constrained economic dispatch problem using mixture of modified particle swarm optimisation (PSO) artificial neural network. formulated as non-linear problem, PSO has been used tool search optimal solution within available hyperspace. For reducing time consumed in computations, network assess stability. process...

This paper presents an approach to solve the online transient stability constrained power generation (TSCPG) by a mixture of modified particle swarm optimization (PSO) and artificial neural network (ANN). (PSO-ANN) has been used as tool guarantee searching optimal solution within hyperspace reducing time consumed in computations improving quality selected solution. TSCPG is formulated nonlinear problem subject load flow equations, system capacity requirements behavior. The critical clearing...

The paper presents a study for the impacts of solar energy integration on power system dynamic stability. A detailed photovoltaic model incorporated active and reactive controller is used to investigate effect replacement conventional steam station by considering changing in size location. depends decoupled inner d-q current control loops outer dc voltage regulator. critical fault clearing time (CCT) as indicator transient CCT identify interaction between generating units following large...

In this paper, the closed loop speed controller parameters are optimized for permanent magnet synchronous motor (PMSM) drive on basis of indirect field-oriented control (IFOC) technique. derive system under study, and current controllers implemented using fractional order proportional, integral, derivative (FOPID) controlling FOPID is considered as efficient techniques ripple minimization. The hybrid grey wolf optimizer (HGWO) applied to obtain optimal in case implementing conventional PID...

The paper presents a methodology for hot spinning reserve allocation (HSRA) following expected disconnection of big generators during peak demand. proposed method includes generation rescheduling, optimal reactive power allocation, and load curtailment to prevent system cascaded outages. Hybrid grey wolf optimization (HGWO) Marine Predators Algorithm (MPA) are implemented solve the economic HSRA problem with total costs minimization. conversion process HGWO is enhanced utilizing two internal...

Future smart grids will require an observable, controllable and flexible network architecture for reliable efficient energy delivery. The use of artificial intelligence advanced communication technologies is essential in building a fully automated system. This paper introduces new technique online optimal operation distributed generation (DG) resources, i.e. hybrid fuel cell (FC) photovoltaic (PV) system residential applications. proposed aims to minimize the total daily operating cost group...

The article presents torque and flux ripples minimization based on adaptive filter. filter coefficients optimized adapted line by using particle swarm optimization (PSO) technique. proposed methodology applied closed loop speed control direct (DTC) for surface mounted permanent magnet synchronous motor (PMSM). Fuzzy logic controller (FLC) used as while proportional-integral (PI) controllers. Second order infinite impulse response (IIR) is ripple reduction generated due to FLC. drive system...

This paper presents online tools based decision tree (DT) and artificial neural network (ANN) to identify the critical operating scenarios enhance system dynamic performance considering stochastic behavior of wind energy. The speed requires a fast generation rescheduling meet load demand that may force towards stability limits. objective is estimation fault clearing time (CCT) using as indicator for power transient stability. state used initial control actions against instability ANN during...

This paper presents a security constrained power system dynamic performance enhancement using particle swarm optimization (PSO) based on time domain simulation (TDS). The key feature of the monitoring is critical fault clearing time. Time-domain used to determine unstable point bisection technique reduce computation Independent System Operator (ISO) should plan hours-ahead or days-ahead rescheduling optimal allocation generated from each generator expected disturbances. objective find proper...

This paper presents an integrated work for regulation reserve allocation considering dynamic stability and load variations. In deregulated power system, participants compete to maximize their surplus without system margin, which forces the operate closer instability boundaries. Suitable spinning amount meet additional demand corresponding flows through transmission lines at acceptable margin is important aspect a secure operation following credible contingency. The geographical localization...

<span>Distributed generation (DG) is an essential attributor in smart grid to fulfill the uncontrollable increase demand for energy. Artificial intelligent optimization techniques are widely used within automation systems guarantee optimal operation and utilization of DG allocation on day-ahead power scheduling. In this paper, genetic algorithm technique obtaining automated distributed losses total cost minimization as well user comfort maximization considering all operating...

The rapid increase of distributed generations (DGs) has many benefits for distribution systems and could result in some negative effects. Identifying the optimum locations sizes these units increases limits Many researches tried to define optimal DG siting sizing. Either normal operation or faulty conditions have been considered this process. In paper, repairing fault periods (RFP) loop is optimization Comprehensive comparisons between results considering only operating (NOP) those both NOP...

In this study, the active traveling-wave fault location function is incorporated into management of earth faults for smart unearthed and compensated distribution networks associated with distributed renewable generation. ... | Find, read cite all research you need on Tech Science Press

With the increasing development of EVs, energy demand from conventional utility grid increases in proportion. On other hand, photovoltaic (PV) sources can overcome several problems when charging EVs especially remote areas. This paper presents an effective stand-alone station for EV applications. The proposed incorporates PV array, a lithium-ion battery representing battery, and lead-acid storage system (ESS). A bidirectional DC-DC converter is employed charging/discharging ESS...

Dynamic stability is playing an important role for a secure power system operation. assessment provides online quantification of security level associated with the competitive market schedule. has been one most computationally expensive calculations during contingency management in control centers. Independent operator coordinates data available from energy market, ancillary services and bilateral contracts to meet real-time imbalance assures reliability security. Real-time optimal...