Power, Control, and Data Processing Systems

Power, Control, and Data Processing Systems

Power, Control, and Data Processing Systems

Journal Archive

The reviewers of 2025

Number of Volumes 3
Number of Issues 7
Number of Articles 52
Number of Contributors 118
Article View 42,309
PDF Download 20,858
View Per Article 813.63
PDF Download Per Article 401.12
Submission statistics
Number of Submissions 103
Rejected Submissions 36
Accepted Submissions 52
Acceptance Rate 50
Time to Accept (Days) 51
Number of Indexing Databases 8
Number of Reviewers 769
Iranian reviewers
Dr. Hamid Karimi
Dr. Hamid Reza Sezavar
Dr. Mahdieh Monemi Bidgoli 
Dr. Mohammadreza Fathollahi
Dr. Hedayat Saboori
Dr. Mohammad Hosein Sadeghi
Dr. Ali Reza Azamian
Dr. Saeed Hasanzadeh
Dr. Javad Rahmanifard
Dr. Mehran Haghighi
Dr. Fatemeh Sadat Lesani
Dr. Hadi Zayyani  
Dr. Ali Kuhestani
Dr. Mohammad Hossein Mousavi
Dr. Ehsan Heydarian-Forushani
Dr. Alireza Mohammadi Amidi 
Dr. Hossein Jokar
Dr. Mahboubeh Shamsi 
Dr. Pooria Kianoush
Dr. Ahmadreza Montazerolghaem
International reviewers
Dr. Hanaa ZainEldin
Dr. Kuppusamy Kanagaraj
Dr. Senthilkumar Nangan
Dr. Gholamreza Zare
Dr. Chaohui Zhao
Dr. Mehdi Gheisari
 

Quarterly Journal of Power, Control, and Data Processing Systems (PCDP) is an international peer-reviewed and open-access journal aiming at providing a platform for researchers and practitioners in the fields of electrical and computer sciences to find original research. The journal encourages researchers to submit their original and unpublished manuscripts that are not under review in any other journal to us. This journal accepts papers in the areas of Power Electric, Control, Data Processing, and Computer Sciences.

This journal is fully sponsored by Qom University of Technology.

Power, Control, and Data Processing Systems (PCDP)© 2024 by Qom University of Technology is licensed under  Attribution 4.0 International (CC BY 4.0).

 

  • Open Access: Yes
  • Article types: Research papers, Review paper. 
  • Primary Review: 10 days, Approximately.
  • Peer Review Policy: Single-blind peer-review

Power, Control, and Data Processing Systems (PCDP) fulfill the definition of open access. The full text of all content must be available for free and open access without delay. No embargo period, no requirement for users to register to read content. A charge for the print version of a journal is permitted.

Article Processing Charges (APC)

Article Submission Fee: 0.00 (USD)
Authors are not required to pay an Article Submission Fee as part of the submission process.

Article Publication Fee: 0.00 (USD)
Authors are not required to pay an Article Publication Fee.
The reviewing process is completely free of charge.

 All submitted articles will be screened for similarity using iThenticate. All submitted articles will be screened for similarity using iThenticate. The maximum allowable overall similarity is 20%, with no more than 5% similarity to any single source.


The PCDP journal is committed to following best practices on publication ethics. These policies are based on the Core Practices from the Committee on Publication Ethics (COPE). These policies must be read in conjunction with the PCDP’s Author and Reviewer Guides which can be found through the website homepage.

 

Most Visited Articles
Comprehensive Review of Cutting-Edge Lithium Battery Technologies Highlighting Nanotechnology, Safety Improvements and Sustainability
Designing a Grid-Connected Hybrid Micro-Grid: A Case Study in Hamedan
Emerging Trends and Advanced Techniques in Power System Optimization for Future Smart Grids
Integration of Artificial Intelligence and Blockchain: Combining Two Transformative Technologies in Iran's Power Sector
The Formulation of a Linear Quadratic Regulator (LQR) for a System Characterized by Partial Differential Equations (PDE) Utilizing Reinforcement Learning Technique
Empirical Evaluation of Well-known Farsi OCR Engines on the IDPL-PFOD Dataset
Enhancing Power Quality in Distribution Networks Integrated with Distributed Generation Sources Using MOPSO and Soft Open Points (SOPs)
Current Issue: Volume 3, Issue 2, Spring 2026 

Reliability-Oriented Optimal Placement of Thyristor-Controlled Phase-Shifting Transformers under Operational Uncertainty

Pages 23-34

10.30511/pcdp.2026.2082944.1062

Razi Rezvanfar, Kamran Taghizad-Tavana, Hassan Niazi, Mohsen Ghanbari-Ghalehjoughi, Mehrdad Tarafdar Hagh

Keywords Cloud

  • Renewable Energy
  • Renewable energy sources
  • Uncertainty
  • Deep Learning
  • Game Theory
  • Transfer learning
  • Demand Side Management
  • artificial intelligence
  • Multi-objective optimization
  • Reliability
  • Machine Learning
  • Blockchain
  • Solar Energy
  • Power Quality
  • ECR plasma
  • RPCD-based controller
  • Robust Aggregation
  • Random Forest
  • CFD
  • TRNSYS software
  • Biogas
  • Smart cities
  • Array Faraday-Cup
  • Electrical load prediction
  • Hybrid Power Plant
  • Catastrophic Forgetting
  • Voltage Regulation
  • Contingency Reserve
  • Cybersecurity
  • Switching cell
  • Farsi OCR
  • convolutional neural network (CNN)
  • hybrid power system
  • renewable energy system
  • Social networks
  • Long short-term memory (LSTM)
  • techno-economic optimization
  • Unit commitment
  • Breast Tumor Segmentation
  • Mixed integer linear programming(MILP)
  • Energy Storage
  • Black start
  • sector coupling
  • multi-carrier
  • Biometric Authentication
  • Smart network
  • octave convolution
  • Time Series Forecasting
  • and sudden energy production
  • Flexible Distribution Networks
  • Expected Energy Not Supplied
  • Energy Storage System (ESS)
  • SCAPS simulation software
  • API-based SDN
  • Household Appliances
  • Glow discharge plasma
  • Optical emission spectroscopy
  • Soft open points
  • State Estimation
  • multi-energy system
  • Plasma focus device
  • IEEE 118-bus system
  • Energy Security and Efficiency
  • Ultrasonic imaging
  • Index Terms: Demand Response
  • Electric Spring
  • Smart Load
  • Hybrid SDN
  • Fault diagnosis
  • voltage unbalance
  • Emotion Recognition
  • PSO algorithm, inertial stabilization system
  • Smart grid (SG)
  • BDFIG
  • Renewable Integration
  • Wind Power Integration
  • Power System Optimization
  • load forecasting and planning
  • Unit aggregation
  • Microgrid
  • Diversified Input U-Net
  • Total focusing method
  • Stabilization
  • Linear Quadratic Regulator
  • Non-isolated converters
  • Phasor Measurement Unit
  • Multi￾junction solar cell
  • lithium-ion battery (LIB)
  • HOMER analysis tool
  • nonlinear programming
  • Federated Learning Security
  • Home Energy Management System (HEMS)
  • Fuel cell electric vehicle
  • Renewable Energy Integration
  • Economic Analysis
  • Optimal operation
  • Sensor-Cloud Infrastructure
  • active materials
  • gimbal
  • Total Harmonic Distortion
  • image processing
  • line of sight
  • Energy storage system
  • Antenna
  • Microgrids
  • COMSOL
  • Recurrent network
  • Integrated Energy System
  • Distributed Learning
  • Partial Differential Equation (PDE)
  • Tesseract
  • Coronavirus
  • Multi-Energy Systems
  • Nanotechnology
  • Particle Swarm Optimization (PSO)
  • Energy Storage Systems
  • Locational Marginal Pricing (LMP)
  • Restricted Boltzmann Machine
  • multi-criteria decision making
  • Computerized Tomography (CT) Scans
  • Ion Beam
  • Line charging mode
  • Convolutional neural network
  • Minimum Variance
  • Energy Hub System
  • Plasma processing
  • Hybrid Neural Network
  • Optimization
  • Environmental and Economic Analysis
  • Linking constraints
  • Interrupted Energy Assessment Rate
  • microgrid operation
  • payback period
  • Water desalination
  • Finite-time Stability
  • management of defective cells
  • Battery energy storage system
  • Industry 5.0
  • Link prediction
  • Renewable resources
  • CO2 emissions
  • Thermal Storage Systems
  • Principal Component Analysis
  • Self-healing
  • internet of things
  • Silicon Solar Cell
  • Distribution System
  • Flow chemistry
  • microreactor design
  • Groundwater resources
  • Stark broadening
  • self-organizing networks
  • Lithium battery
  • multi-band
  • Demand Response Program
  • ArtificialIntelligence
  • Model Poisoning
  • pressure parameter
  • On-grid
  • Net Present Cost
  • Power factor
  • Power System restoration
  • Building energy
  • photovoltaic panels
  • Adversarial Attacks
  • Resilient Frequency Control
  • Power Loss
  • External validation
  • optical character recognition (OCR)
  • resilience
  • Support Vector Machine
  • Phase shifting transformer
  • Reinforcement Learning
  • MIMO
  • Keywords: Energy hubs
  • voltage source converters
  • Tractable unit commitment
  • Resource Allocation
  • Voltage-aware operation
  • Linearized Optimal Power Flow
  • EasyOCR
  • Smart grids
  • Dynamic Control
  • Measurement Devices
  • Unit commitment(UC)
  • controller
  • multi-microgrid networks
  • OpenFlow
  • SDN Implementation
  • Microfluidic-chips
  • Continuous input current
  • virtual inertia
  • DigitalTransformation
  • Ultrasonic phased array
  • Model free, Finite Element Method (FEM)
  • Pre-trained Models
  • IDPL-PFOD dataset
  • Q-learning
  • Energy Management
  • Graph Theory