Course description
Long-term load (energy) forecasting (Delphi method, time series, mathematical models, correlation, impact factors, scenarios, consumption growth analysis), long-term load (power) forecasting, reliability assessment, power reserves, introduction to planning, methods and procedures of power system expansion planning, planning criteria, power system expansion planning in the market environment, environmental aspects in planning, economics in planning, planning of power plants, planning of networks, optimization methods.
Asset management, economic in asset management, risk assessment, costs and profit, uncertainties and stochastics, cost/benefit analysis, SWOT analysis, project and strategic management, maintenance of power system, aging and lifecycle of equipment, renovation, refurbishment, outages, maintenance methods (repair, operational maintenance, corrective maintenance, scheduled maintenance, preventive maintenance, reliability centred maintenance), maintenance management, tools in maintenance procedures, maintenance and electric energy production, maintenance and quality of supply, safety in maintenance, quality assurance.
Course is carried out on study programme
2nd Cycle Postgraduate Study Programme in Electrical Engineering
Objectives and competences
Students will become familiar with principles in power system planning and maintenance, different methods for long-term load forecasting (energy and power), power system reserve (production and transmission), reliability of supply. Students will gain knowledge in the field of power system expansion planning in the market environment applying different optimization methods with respect to the environmental constraints and economics. Further, they will get familiar with methods and tools for power system maintenance, asset management, outage planning, revitalization, the importance of power system reliability in the context of maintenance procedures, quality of supply, maintenance economics. Students will gain basic knowledge in the field of safety issues in the maintenance process.
Learning and teaching methods
Lectures and exercises.
Intended learning outcomes
After successful completion of the course, students should be able to:
– develop mathematical models for economic feasibility assessment of investments in electric power systems,
– develop mathematical model for short- and long-term forecasting of production and consumption of electric energy and electricity prices,
– assess electric power system reliability,
– develop optimization models and selection of appropriate optimization method for mathematical problems in the field of power system planning and maintenance,
– interpret basic principles of electric energy and ancillary service markets,
– evaluate basic mechanisms in the field of power system development, planning and maintenance.
Reference nosilca
- PANTOŠ, Miloš, BOŽIČ, Dušan. Načrtovanje elektroenergetskega sistema. Založba FE, 2014.
- BOŽIČ, Dušan, PANTOŠ, Miloš. Impact of electric-drive vehicles on power system reliability. Energy, 2015, vol. 83, str. 511-520.
- PANTOŠ, Miloš. Market-based congestion management in electric power systems with increased share of natural gas dependent power plants. Energy, 2011, vol. 36, no. 7, str. 4244-4255
- PANTOŠ, Miloš. Stochastic optimal charging of electric-drive vehicles with renewable energy. Energy, 2011, vol. 36, no. 11, str. 6567-6576.
- REJC, Matej, PANTOŠ, Miloš. Short-term transmission-loss forecast for the Slovenian transmission power system based on a fuzzy-logic decision approach. IEEE transactions on power systems, 2011, vol. 26, no. 3, str. 1511-1521.
Study materials
- F. Gubina: Načrtovanje in vzdrževanje EES; skripta, knjižnica FE
- H. Lee Willis: Aging Power Delivery Infrastructures, ISBN: 0824705394; knjižnica FE
- R. Billinton: Reliability Evaluation of Power Systems, ISBN: 0306452596; knjižnica FE
- R. Sullivan: Power System Planning, ISBN: 0070618003; knjižnica FE
- M. Pantoš, D. Božič. Načrtovanje elektroenergetskega sistema. Založba FE, 2014.