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Mapping The Future: Gis Applications In Power Distribution Planning Training Course in Sudan

Introduction

The efficient and reliable delivery of electricity is fundamental to modern society, yet power distribution networks face immense challenges from aging infrastructure, increasing demand, and the complexities of integrating distributed energy resources (DERs). Geographic Information Systems (GIS) have emerged as an indispensable tool, revolutionizing how utilities plan, design, and manage these intricate networks. By seamlessly integrating spatial data—such as topography, population density, environmental factors, and existing infrastructure—with electrical network information, GIS provides a comprehensive visual and analytical platform. This capability enables utility planners to optimize network design, accurately forecast load growth, strategically locate new assets, and improve outage response. Without leveraging GIS Applications in Power Distribution Planning, utilities would continue to rely on fragmented data and less precise methods, leading to inefficient capital expenditure, prolonged service disruptions, and an inability to adapt to the dynamic demands of a smarter, more resilient grid. This comprehensive training course focuses on equipping professionals with the expertise to master GIS Applications in Power Distribution Planning.

This training course is meticulously designed to empower electrical engineers, network planners, asset managers, GIS specialists, data analysts, and utility executives with the theoretical understanding and practical skills necessary to harness the full potential of GIS Applications in Power Distribution Planning. Participants will gain a deep understanding of GIS data models for electrical networks, explore various spatial analysis techniques for network optimization, learn about integrating GIS with other utility systems (like SCADA and OMS), and acquire hands-on experience with industry-leading GIS software. The course will delve into topics such as network modeling and connectivity, load flow analysis on a GIS platform, optimal feeder routing, substation siting, vegetation management, outage management, and the crucial role of GIS in planning for the integration of renewable energy and electric vehicles. By mastering the principles and practical application of GIS Applications in Power Distribution Planning, participants will be prepared to drive smarter investment decisions, enhance operational efficiency, improve grid reliability, and contribute significantly to building the next generation of resilient and intelligent power distribution networks.

Duration: 10 Days

Target Audience

  • Power Distribution Planners
  • Electrical Network Design Engineers
  • GIS Analysts and Specialists (Utility Sector)
  • Utility Asset Managers
  • SCADA/DMS Engineers
  • Outage Management System (OMS) Professionals
  • Data Analysts in the Energy Sector
  • Smart Grid Engineers
  • Project Managers (Utility Infrastructure)
  • Field Operations Managers

Objectives

  • Understand the fundamental concepts of Geographic Information Systems (GIS) and their architecture.
  • Learn about the specific data requirements and models for power distribution networks in GIS.
  • Acquire skills in digitizing, managing, and validating geospatial and attribute data for utility assets.
  • Comprehend techniques for performing spatial analysis relevant to distribution planning.
  • Explore strategies for optimizing network design using GIS-based tools.
  • Understand the importance of load forecasting and demand analysis within a GIS environment.
  • Gain insights into applying GIS for substation siting and feeder routing.
  • Develop a practical understanding of vegetation management and asset inspection through GIS.
  • Learn about the integration of GIS with other utility operational systems (e.g., SCADA, OMS).
  • Master the role of GIS in outage management and restoration planning.
  • Acquire skills in using GIS for planning the integration of Distributed Energy Resources (DERs).
  • Understand the economic benefits and ROI of implementing GIS in distribution planning.
  • Explore advanced GIS functionalities such as network tracing and connectivity analysis.
  • Develop proficiency in generating maps, reports, and visualizations for decision-making.
  • Prepare to strategically leverage GIS for resilient and efficient power distribution planning.

Course Content

Module 1: Introduction to GIS and its Role in Utilities

  • Definition and core components of a GIS.
  • Importance of spatial data in power utility operations.
  • Evolution of GIS applications in the energy sector.
  • Benefits of GIS for power distribution planning: visualization, analysis, decision support.
  • Overview of leading GIS software platforms for utilities.

Module 2: GIS Data Models for Power Distribution Networks

  • Understanding network topology and connectivity in GIS.
  • Representing electrical assets spatially: points (poles, transformers), lines (feeders), polygons (substations).
  • Attribute data associated with network features (voltage, capacity, material).
  • Developing a comprehensive utility geodatabase.
  • Data quality, accuracy, and standards for electrical network data.

Module 3: Data Acquisition and Digitization for GIS

  • Methods of spatial data collection: GPS surveys, LiDAR, aerial imagery.
  • Digitizing existing paper maps and CAD drawings.
  • Data conversion and integration from various sources.
  • Georeferencing and projection systems for utility mapping.
  • Field data collection techniques using mobile GIS applications.

Module 4: Spatial Analysis Techniques for Distribution Planning

  • Proximity analysis (buffering, nearest neighbor).
  • Overlay analysis (identifying areas intersecting with land use, population).
  • Network analysis: tracing, shortest path, connectivity.
  • Site suitability analysis for new substations or infrastructure.
  • Density mapping for load concentration.

Module 5: Network Modeling and Connectivity

  • Building a logical and topological model of the distribution network.
  • Understanding network rules and validation.
  • Establishing connectivity between network elements.
  • Performing network traces (upstream, downstream, common ancestor).
  • Managing network versions and updates.

Module 6: Load Forecasting and Demand Analysis in GIS

  • Spatial load forecasting: integrating demographic and land use data.
  • Mapping current and projected load density across service areas.
  • Identifying load growth patterns and future demand centers.
  • Using GIS to inform optimal substation sizing and feeder capacity planning.
  • Visualizing peak demand areas and potential overload points.

Module 7: Optimal Feeder Routing and Substation Siting

  • Methodologies for finding optimal routes for new feeders.
  • Considering environmental, social, and economic factors in routing.
  • GIS-based tools for multi-criteria site selection for new substations.
  • Analyzing impact of new infrastructure on existing network.
  • Cost optimization in network expansion projects.

Module 8: Asset Management and Condition Assessment with GIS

  • Inventorying and mapping all distribution assets: poles, transformers, cables, switchgear.
  • Tracking asset age, condition, maintenance history in GIS.
  • Visualizing asset health indices and risk profiles.
  • Supporting predictive maintenance scheduling based on spatial patterns.
  • Lifecycle management of distribution assets using GIS.

Module 9: Vegetation Management and Encroachment Analysis

  • Using GIS to identify vegetation growth zones near power lines.
  • Planning and scheduling vegetation trimming cycles.
  • Analyzing tree species and growth rates for proactive management.
  • Identifying encroachment risks (buildings, structures) near easements.
  • Mobile GIS for field crews to record and update vegetation data.

Module 10: Outage Management and Restoration Planning with GIS

  • Real-time visualization of outages on a geographic map.
  • Pinpointing probable fault locations using customer calls and smart meter data.
  • Prioritizing restoration efforts based on critical infrastructure or customer density.
  • Dispatching field crews with accurate location and asset information via mobile GIS.
  • Analyzing historical outage patterns for reliability improvement.

Module 11: Integration of Distributed Energy Resources (DERs)

  • Mapping and managing the location and capacity of DERs (solar, battery storage, EV charging).
  • Analyzing impact of DERs on network stability and power flow.
  • Identifying optimal interconnection points for new DERs.
  • Supporting hosting capacity analysis using GIS and network models.
  • Planning for bi-directional power flow in the distribution network.

Module 12: GIS Integration with Other Utility Systems

  • Interfacing GIS with SCADA for real-time network status and control.
  • Integration with Outage Management Systems (OMS) for coordinated response.
  • Linking GIS with Customer Information Systems (CIS) for location-based customer service.
  • Connecting with Work Order Management Systems (WOMS) for maintenance activities.
  • Enterprise-wide data synchronization strategies.

Module 13: Advanced GIS Analysis for Distribution Network

  • Power flow analysis and short circuit analysis on GIS-based models.
  • Voltage drop and power loss analysis using spatial data.
  • Optimal capacitor bank placement for reactive power compensation.
  • Network reconfiguration for load balancing and loss reduction.
  • Risk assessment and reliability analysis using GIS.

Module 14: Cybersecurity and Data Governance for Utility GIS

  • Protecting sensitive geospatial and asset data.
  • Access control and user permissions for GIS data.
  • Data backup, recovery, and disaster preparedness.
  • Compliance with relevant industry cybersecurity standards.
  • Best practices for securing GIS infrastructure in a utility environment.

Module 15: Future Trends and Strategic Applications of GIS

  • 3D GIS for complex urban distribution networks and underground infrastructure.
  • Integration with Artificial Intelligence (AI) and Machine Learning (ML) for predictive insights.
  • Digital Twin concepts for distribution networks leveraging GIS.
  • Use of drones and remote sensing for asset inspection and data collection.
  • GIS as a platform for smart city initiatives and energy master planning.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.

Course Schedule
Dates Fees Location Apply