Impact of Renewable Energy Sources
Who should attend?

This training course is suitable to a wide range of professionals that need to have an intermediate level of knowledge for power system analysis and probabilistic theory. These include:

  • Professionals of electric power utilities, system operators (Independent System Operators – ISOs, Regional Transmission Operators – RTOs, Transmission System Operators - TSOs)
  • Professionals of regulation authorities
  • Professionals of companies involved in projects concerning renewable energy installations
  • Power system consultants
  • Researchers and post-graduate students of universities
Duration
5 Days
Programme Overview

The increased penetration of renewable energy sources constitutes one of the most important aspects of power generation systems due to the respective economic benefits that may occur and the appropriate environmental constraints. This fact results to a continuously increased rate of investments concerning appropriate generation facilities in many power generation facilities worldwide. An increased penetration level of renewable energy sources is expected to be achieved. However, it may affect the secure operation of the entire power system and the reliable supply of electric energy to the customers due to the uncertainty of weather conditions that constitute the main operational features of the respective generating plants. The objective of the training course in Dubai is to describe the concepts and features of computational methodologies that can be used for assessing the reliability and operational performance of power generation systems with an increased penetration level of renewable energy installations. This training course will feature:

• State of the art knowledge of the available computational methods

• Efficient computational methods that can be applied for the analysis of the respective reliability problems

• Description of the appropriate sets of reliability and operational indices that need to be calculated

• Presentation of application examples by using practical power systems and case studies

• Important conclusions concerning the necessary procedures and practices for the planning and operation of power generation systems with an increased penetration level of renewable energy installations

Objectives

By the end of this training course, participants will be able to:

  • Determine the most important aspects of renewable energy plants that need probabilistic modelling and evaluation assessment
  • Understand the main features of the computational methods that are available for the reliability and operational performance modelling of the relevant systems
  • Understand the main indices that need be calculated for the quantification of power system operational performance
  • Carry out practical assessment studies
  • Compare and justify alternative schemes for the reinforcement of power generation systems
Methodology
This training course will utilize a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. These mainly include appropriate PowerPoint slides that have efficiently been developed in order to contain all the necessary information being required for the complete knowledge of the respective theoretical and practical subjects. Appropriate examples are also given so that the main points of each topic are better understood. A set of notes containing all the slides of the presentations will be available together with an extended list of references (books, papers, technical reports, etc).
Course Outline

Day One: General Aspects

  • Introduction
  • Basic principles of probabilistic modelling and reliability evaluation methods
  • Generation challenges and main issues for planning purposes of low emission power systems
  • Main characteristics of conventional power plants
  • Main features of renewable energy installations
  • Ancillary services and impact of storage installations
  • Simulation computational approaches for modelling power system operational performance

Day Two: Conventional Power Plants

  • Modelling the generation characteristics of thermal power plants
  • Modelling the generation characteristics of cogeneration plants (large, small)
  • Modelling the generation characteristics of hydroelectric power plants (large, small) with and without pumping facilities
  • Spinning reserve requirements
  • Demand response programs
  • Reliability criteria for the operation of power generation systems

Day Three: Integration of Wind Generation Installations

  • Main modelling aspects concerning the stochastic generation variability
  • Equivalent daily curves predicting wind generation
  • Correlation of wind generation with system load demand requirements
  • Reduction events of wind generation
  • Indices for wind capacity credit
  • Operational integration costs for wind generation
  • High penetration levels and wind parks in future power systems

Day Four: Integration of Other Renewable Energy Installations

  • Main modelling aspects concerning the stochastic generation variability
  • Equivalent daily curves predicting the solar generation
  • Correlation of generation with system load demand requirements
  • Operational integration costs for solar generation
  • Reliability assessment of photovoltaic plants and their interconnection links
  • Biomass installations
  • Battery storage facilities

Day Five: Operational Assessment of Power Generation Systems

  • Simulation of power system operation
  • Reliability criteria and characteristics of system generation
  • Calculation of performance indices
  • Spinning reserve criteria and demand response programs
  • Interconnected power systems
  • Isolated power systems

 



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