Electric traffic simulation course in cities
About our
Course on Electric Traffic Simulation in Cities
This course focuses on the use of advanced tools for the analysis and modeling of electrical energy flow in urban environments. It covers network planning and design methodologies, performance optimization, and smart demand management. Simulations are used to predict the behavior of electrical systems, considering factors such as distributed generation, energy storage, and the integration of electric vehicles. The goal is to improve the efficiency, reliability, and sustainability of urban electrical infrastructure.
This course focuses on the use of advanced tools for the analysis and modeling of electrical energy flow in urban environments. The program provides hands-on experience using specialized software for network simulation and fault analysis. Topics covered include power quality, electrical system protection, and renewable energy integration. The aim is to train professionals capable of designing and operating resilient and efficient urban electrical networks, contributing to the transition to smarter and more sustainable cities.
Electric traffic simulation course in cities
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
649 $
Competencies and results
What you will learn
1. Simulation of Urban Electrical Flow: Analysis and Optimization
- Fundamentals of urban electrical system simulation: network, component, and load modeling.
- Specialized tools and software for electrical flow simulation (e.g., ETAP, OpenDSS).
- Analysis of load flow, short circuits, and electromagnetic transients in urban networks.
- Optimization of urban electrical networks: planning, design, and demand management.
- Evaluation and mitigation of power quality problems (harmonics, voltage fluctuations).
- Analysis of the safety and reliability of the urban electrical system.
- Application of renewable energies and storage systems in urban networks.
- Practical case studies and examples of solution implementation.
2. Analysis of Electric Traffic in Urban Environments: Simulations and Strategies
- Fundamentals of planning and managing electrical traffic in urban areas.
- Modeling and simulation of electrical distribution systems using specialized software.
- Identification and analysis of key components of urban electrical infrastructure: transformers, transmission lines, substations, etc.
- Evaluation of the impact of growing energy demand on the urban electrical grid.
- Analysis of different energy sources: distributed generation, renewable energies, and their integration into the grid.
- Application of strategies to optimize energy flow and reduce losses in the grid.
- Implementation of Energy Management Systems (EMS) and their impact on efficiency.
- Design and analysis of smart grids to improve resilience and sustainability.
- Evaluation of the security and reliability of the electrical grid in the face of failures and contingencies.
- Development of solutions for the management of electric mobility and charging infrastructure.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Mastery of Electric Traffic Simulation: Smart Cities
- Design and modeling of electrical distribution systems in urban environments.
- Simulation of energy demand and consumption in smart buildings and grids.
- Optimization of energy flow and real-time load management.
- Implementation of intelligent metering technologies (AMI) and data analysis.
- Analysis of the integration of renewable energy and storage systems into the electrical grid.
- Simulation of faults and protection of electrical systems in smart cities.
- Evaluation of the impact of electric vehicles on energy infrastructure.
- Use of specialized software for electric traffic simulation and data analysis.
- Development of strategies for the resilience and security of the urban electrical grid.
- Analysis of case studies and practical application in smart city projects.
5. Design and Analysis of Urban Electrical Networks: Simulation and Evaluation
- Fundamental principles of urban electrical networks: from generation to the end consumer.
- Modeling of network components: transformers, transmission lines, loads, and protection devices.
- Simulation of electrical networks: specialized tools and software for the analysis of complex systems.
- Load flow analysis: evaluation of power distribution and voltage drops in the network.
- Short-circuit analysis: calculation of fault currents and design of appropriate protection devices.
- Power quality study: identification and mitigation of problems such as harmonics, voltage fluctuations, and imbalances.
- Design of grounding systems: safety and protection of equipment and personnel.
- Evaluation of network reliability and availability: fault analysis and improvement strategies.
- Optimization of network operation: control of Voltage, demand management, and energy efficiency.
Renewable energy integration: challenges and opportunities for grid expansion.
Renewable energy integration: challenges and opportunities for grid expansion.
6. Simulation and Optimization of Urban Electric Traffic
6. Simulation and Optimization of Urban Electrical Traffic
Master urban electrical flow simulation models, including the representation of sources, loads, and networks.
Apply optimization techniques to minimize energy losses, improve efficiency, and reduce congestion in urban electrical networks.
Use specialized software to simulate electrical traffic behavior, analyzing scenarios and evaluating solutions.
Implement demand management strategies to balance the load and optimize network performance.
Study the impact of distributed generation and renewable energies on the stability and optimization of electrical traffic.
Understand the safety and reliability aspects in the design and operation of urban electrical networks.
Analyze key performance indicators (KPIs) to evaluate network efficiency and performance.
Apply data analysis techniques to identify trends and patterns in urban electric traffic.
Who this program is for:
Electric traffic simulation course in cities
- Graduates in Electrical Engineering, Electronics, Energy, Telecommunications, or related fields.
- Professionals from electrical distribution companies, network operators, energy management, and energy consulting.
- Engineers and technicians in smart cities, urban planning, infrastructure development, and electric mobility.
- Researchers and academics interested in simulation of urban electrical systems and smart grid analysis.
Recommended qualifications: Basic knowledge of electrical circuits, programming (Python preferred) and simulation software; ES/EN B2+/C1. We offer additional resources for leveling.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Fundamentals of Urban Electrical Simulation: Introduction to Key Concepts
1.2 Importance of Simulation in the Context of Smart Cities
1.3 Tools and Software for Simulating Urban Electrical Systems
1.4 Basic Principles of Power Flow and Circuit Analysis
1.5 Modeling Urban Electrical Components: Generation, Distribution, and Consumption
1.6 Introduction to the Optimization of Urban Electrical Networks
1.7 Data Analysis Methodologies in Electrical Simulations
1.8 Practical Examples of Simulation Applications in Urban Environments
1.9 Challenges and Opportunities in Urban Electrical Simulation
1.10 Future Trends in the Simulation of Urban Electrical Systems
2.2 Introduction to Urban Electrical Flow Simulation
2.2 Principles of Power System Simulation
2.3 Modeling Urban Electrical Network Components
2.4 Simulation Tools: Introduction and Applications
2.5 Load Flow Analysis: Methods and Algorithms
2.6 Implementing Simulation in Specific Software
2.7 Interpreting Results and Fault Analysis
2.8 Electrical Flow Optimization: Strategies and Techniques
2.9 Case Studies: Practical Applications in Urban Environments
2.20 Challenges and Future Trends in Electrical Flow Simulation
3.3 Introduction to the Simulation of Urban Electrical Systems
3.2 Modeling Electrical Network Components
3.3 Load Flow in Urban Networks: Fundamentals
3.4 Simulation Software: Selection and Configuration
3.5 Fault Analysis and Protection in Networks
3.6 Power Flow Optimization in Urban Environments
3.7 Power Quality Analysis
3.8 Integration of Renewable Energies
3.9 Simulation Scenarios and Results Analysis
3.30 Practical Cases and Real-World Applications
4.4 Introduction to Urban Electricity Traffic Simulation
4.2 Fundamentals of Urban Electricity Network Modeling
4.3 Simulation Tools and Software: Practical Applications
4.4 Power Flow Analysis in Urban Environments
4.5 Energy Flow Optimization: Strategies and Techniques
4.6 Simulation of Faults and Contingencies in Electricity Networks
4.7 Power Quality Analysis
4.8 Integration of Renewable Energies in Urban Simulation
4.9 Smart City Design and Energy Management
4.40 Case Studies: Analysis and Practical Application
5.5 Introduction to Urban Electrical Network Design
5.5 Modeling of Urban Electrical Systems
5.3 Load Flow Analysis in Urban Networks
5.4 Design of Urban Electrical Substations
5.5 Protection of Urban Electrical Networks
5.6 Optimization of Urban Electrical Networks
5.7 Fault Simulation in Urban Electrical Networks
5.8 Short Circuit Analysis in Urban Networks
5.9 Implementation of Renewable Energies in Urban Networks
5.50 Case Studies: Design and Simulation of Urban Electrical Networks
6.6 Modeling and Simulation of Urban Electrical Networks: Key Concepts
6.2 Load Flow Analysis: Methods and Tools
6.3 Short-Circuit Simulation and Network Protection
6.4 Power Distribution Optimization: Strategies and Algorithms
6.5 Power Quality Assessment in Urban Environments
6.6 Integration of Renewable Energy Sources and Storage
6.7 Impact of Variable Load Demand on the Network
6.8 Fault Analysis and Network Resilience
6.9 Design of Demand Response Strategies
6.60 Case Studies and Application of Simulation Software
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
- Electrical Network Analysis: Simulation and optimization of flow in urban areas.
- Energy Modeling: Simulation of electrical traffic, evaluation, and strategies.
- Smart Cities: Design and analysis of urban electrical systems.
- Traffic Optimization: Study of electrical flow and advanced simulation.
- Urban Electrical Flow Simulation: Network modeling and optimization.
- Electrical Traffic Analysis: Simulation of scenarios and distribution strategies.
- Intelligent Electrical Systems: Design and evaluation of smart cities.
- Electrical Traffic Optimization: Modeling and evaluation of real-time flows.
- Urban Electrical Flow Simulation: Network modeling, load analysis, flow optimization, and fault mitigation.
- Urban Electrical Traffic Analysis: Scenario simulation, congestion assessment, and supply optimization.
- Electrical Network Design and Analysis: Modeling, simulation, and optimization for smart cities.
- Urban Electrical Simulation: Flow, analysis, and network optimization.
- Electrical Traffic Modeling: Smart cities, design, and evaluation.
- Optimization and Analysis: Energy flow and advanced simulations.
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).