SRF based versatile control technique for DVR to mitigate voltage sag problem in distribution system

Al‐Ammar, Essam A.; Ul-Haq, Azhar; Iqbal, Azhar; Jalal, Marium; Anjum, Almas

doi:10.1016/j.asej.2019.09.001

Cited by 36 publications

(20 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The neuron output can be found by summation of input neuron weight in prior layer with its own bias [29]. Each neuron output in the hidden or output layer is determined by the (14).…”

Section: Proposed Pso-ann Based Designmentioning

confidence: 99%

“…Flexible AC transmission (FACTs) are another, and possibly the best way to increase stability, reliability, efficiency and enhance the power quality of the system. Most electrical energy companies aid customers with innovative FACTs to help them receive energy without power disturbance issues [13], [14]. This paper proposes one of the FACTs techniques which is a unified power flow quality conditioner (UPQC) filter that connects to the distribution systems based on particle swarm optimization-artificial neural network (PSO-ANN) in order to get high improvement of power quality.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power quality improvement of distribution systems asymmetry caused by power disturbances based on particle swarm optimization-artificial neural network

Saeed

Sheikhyounis

2022

IJEECS

View full text Add to dashboard Cite

With an increase of non-linear load in today’s electrical power systems, the rate of power quality drops and the voltage source and frequency deteriorate if not properly compensated with an appropriate device. Filters are most common techniques that employed to overcome this problem and improving power quality. In this paper an improved optimization technique of filter applies to the power system is based on a particle swarm optimization with using artificial neural network technique applied to the unified power flow quality conditioner (PSO-ANN UPQC). Design particle swarm optimization and artificial neural network together result in a very high performance of flexible AC transmission lines (FACTs) controller and it implements to the system to compensate all types of power quality disturbances. This technique is very powerful for minimization of total harmonic distortion of source voltages and currents as a limit permitted by IEEE-519. The work creates a power system model in MATLAB/Simulink program to investigate our proposed optimization technique for improving control circuit of filters. The work also has measured all power quality disturbances of the electrical arc furnace of steel factory and suggests this technique of filter to improve the power quality.

show abstract

“…The neuron output can be found by summation of input neuron weight in prior layer with its own bias [29]. Each neuron output in the hidden or output layer is determined by the (14).…”

Section: Proposed Pso-ann Based Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power quality improvement of distribution systems asymmetry caused by power disturbances based on particle swarm optimization-artificial neural network

Saeed

Sheikhyounis

2022

IJEECS

View full text Add to dashboard Cite

show abstract

“…A comparison between feedback, feed-forward, and composite controllers is provided in Table 9 [138]. The calculated DVR voltage or load voltage in the feedback controller is affected by a voltage controller, like Proportional-Resonant (PR) [139], H infinity ( ) [140,141], Repetitive [67,142,143], Predictive [7,144,145], combined Feed-Forward and State Feedback [146], State Variable [147], Feedback Linearization [148], Sliding Mode (SMC) [149][150][151][152], and Metaheuristic Algorithms like Fuzzy Logic (FLC) [95,153,154], Hybrid Genetic Algorithm (GA) and FLC (GA FCL) [155], Cuckoo Search (CS) [156], Chaotic Accelerated PSO (CAPSO) [157], Artificial Neural Network (ANN) [46,158,159], to name just a few. There are also other reference generation methods like Symmetric Component Estimation [133,134], Instantaneous Power Theory (PQR) [135,136], and Phasor Parameter Estimation [137].…”

Section: Reference Generation and Modulation Stagesmentioning

confidence: 99%

Dynamic Voltage Restorer (DVR): A Comprehensive Review of Topologies, Power Converters, Control Methods, and Modified Configurations

Moghassemi

Padmanaban

2020

Energies

View full text Add to dashboard Cite

Power quality is a pressing concern and of the utmost importance for advanced and high-tech equipment in particular, whose performance relies heavily on the supply’s quality. Power quality issues like voltage sags/swells, harmonics, interruptions, etc. are defined as any deviations in current, voltage, or frequency that result in end-use equipment damage or failure. Sensitive loads like medical equipment in hospitals and health clinics, schools, prisons, etc. malfunction for the outages and interruptions, thereby causing substantial economic losses. For enhancing power quality, custom power devices (CPDs) are recommended, among which the Dynamic Voltage Restorer (DVR) is considered as the best and cost-effective solution. DVR is a power electronic-based solution to mitigate and compensate voltage sags. This paper provides a thorough discussion and comprehensive review of DVR topologies based on operations, power converters, control methods, and applications. The review compares the state-of-the-art in works of literature, and comparative study on power quality issues, the DVR principle along with its operation modes, the DVR components, the DVR topologies based on energy storage, the DVR topologies based on single-/three-phase power converters, and the DVR topologies based on control units that have different control processing stages. Furthermore, modified and improved configurations of the DVR, as well as its integration with distributed generations, are described. This work serves as a comprehensive and useful reference for those who have an interest in researching DVRs.

show abstract

“…Equipment manufacturer side can reduce the sensitivity of equipment to voltage sag by increasing the equipment tolerance magnitude and endurance duration of voltage sag. For example, References 1–9 improved the power and speed of voltage sag compensation by changing the control algorithm or unit structure of power electronic mitigation equipment such as DVR and Static Synchronous Compensator (STATCOM). References 10 and 11 mitigated the voltage sag by unified power quality conditioner (UPQC) and open unified power quality conditioner (OUPQC).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive mitigation strategy of voltage sag based on sensitive load clustering

Liu

Hao

et al. 2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary To reduce the investment cost of voltage sag mitigation equipment and the probability of voltage sag at the installation nodes of sensitive load, a comprehensive voltage sag mitigation strategy based on sensitive load clustering is proposed. The Monte Carlo method is used to get the stochastic estimation model of voltage sag to determine the lines with high fault probability, so as to get the weak links in the power grid, that is, the voltage sag vulnerable area. This paper proposes four sensitive indicators called tolerance magnitude of voltage sag, endurance duration of voltage sag, equipment capacity, and power dependence. The weight of each indicator is determined by the combination weighting method, and the affinity propagation (AP) clustering algorithm is used to classify different sensitive loads. The sensitive loads are mitigated by installing the energy storage equipment and dynamic voltage restorer (DVR), and the energy storage capacity is configured with the goal of minimum life cycle cost under the premise of voltage compensation. The result using MATLAB/Simulink and the laboratory equipment shows that, compared with existing mitigation strategies, the proposed mitigation strategy can not only effectively reduce the investment cost and the probability of voltage sag but also make the voltage distribution more reasonable.

show abstract

SRF based versatile control technique for DVR to mitigate voltage sag problem in distribution system

Cited by 36 publications

References 17 publications

Power quality improvement of distribution systems asymmetry caused by power disturbances based on particle swarm optimization-artificial neural network

Power quality improvement of distribution systems asymmetry caused by power disturbances based on particle swarm optimization-artificial neural network

Dynamic Voltage Restorer (DVR): A Comprehensive Review of Topologies, Power Converters, Control Methods, and Modified Configurations

Comprehensive mitigation strategy of voltage sag based on sensitive load clustering

Contact Info

Product

Resources

About