1- Power system imbalance, Causes and solutions
Dr. Mahmood Joorabian
Member of Faculty of Engineering, Shahid Chamran University of Ahvaz
Abstract:
Due to its extensive nature and the continuous demand for uninterrupted service, the power industry has been significantly vulnerable to various challenges, including limited access to financial resources, imposed sanctions, and a lack of substantial domestic and foreign investments. Historically, a persistent imbalance between electricity generation and consumption has existed, exacerbating annually at a rate of 5-6% due to growing demand. This imbalance can disrupt industrial production, severely curtail exports, undermine employment, and ultimately reduce national income. In essence, an inadequate power supply to the industrial sector will have cascading effects on other sectors of the economy.
A lack of incentives and the inability of the private sector to undertake new power plant investments, coupled with the inadequate expansion of power generation capacity to meet growing demand, are the primary causes of power imbalances. Furthermore, the government's failure to honor its financial commitments for purchasing electricity from private power plants has hindered the repayment of loans from the National Development Fund, thereby discouraging private sector investment in this area.
To address this issue, expanding power generation capacity, reducing transmission and distribution losses, promoting smart grid technologies, and enhancing system controllability are crucial. Additionally, developing renewable energy sources and diversifying the country's power generation mix are essential steps to mitigate power imbalances.
Workshop 1
Design and Sizing of Grid-Connected Photovoltaic Systems
Dr. Hamed Nafisi
Member of Electrical Engineering departement, Amirkabir University of Technology
Abstract:
Grid-connected photovoltaic systems, as one of the advanced technologies for generating renewable energy, play a vital role in providing sustainable energy and reducing greenhouse gas emissions by directly harnessing sunlight and connecting to the power grid. This workshop will examine the design and sizing process of grid-connected photovoltaic systems. First, the theoretical and practical foundations of grid-connected photovoltaic systems are introduced, and the importance of correctly configuring photovoltaic arrays in improving system performance is discussed. Then, the role of the DC combiner box is examined. In the next section, the characteristics and performance of the inverter as a key component in converting DC energy to AC energy are introduced. Also, protection systems are discussed and evaluated as a necessity to ensure the safety and stability of photovoltaic systems. The aim of this workshop is to provide the knowledge and skills necessary for optimal design, selection of appropriate equipment and proper implementation of grid-connected photovoltaic systems in order to increase efficiency and ensure safe operation.
Topics:
• Introduction
• Photovoltaic Array Configuration
• DC Combiner Box
• Inverter
• Protection System
Workshop 2
Energy Consumption Management in Buildings with Artificial Intelligence
Dr. Rahim Zahedi
Member of College of Interdisciplinary Science and Technologies, University of Tehran
Abstract:
Energy management in buildings is one of the key challenges in reducing energy consumption and optimizing the performance of heating, cooling, and electrical systems. Artificial Intelligence (AI), as an innovative solution, enables the analysis and prediction of energy consumption patterns and provides intelligent strategies for minimizing energy waste. This workshop explores practical applications of AI in building energy management. It focuses on machine learning algorithms, neural networks, and advanced forecasting methods to optimize energy consumption and reduce costs. Through case studies and practical examples of implementing smart systems, the workshop offers solutions to improve energy efficiency.
Topics Covered:
- Introduction to Energy Management in Buildings
- The Role of Artificial Intelligence in Energy Optimization
- Overview of Machine Learning Models and Neural Networks in Energy Management
- Analysis and Forecasting of Energy Consumption Patterns in Buildings
- Case Study: AI Applications for Reducing Energy Consumption in Buildings
- Design and Implementation of Smart Energy Management Systems
- Challenges and Opportunities of AI in Energy Management
Workshop 3
Application of Artificial Intelligence in Renewable Energy Production Forecasting and Energy Consumption Management
Dr. Mehdi Abapour - Eng. Mohammad Mohsen Hayati
Member of Electrical and Computer Engineering Departement at the University of Tabriz
Electrical Engineering Ph.D student of University of Tabriz
Abstract:
With the rapid expansion of renewable energy sources and the increasing demand for optimized energy consumption, artificial intelligence has become a crucial tool for enhancing efficiency in both areas. This workshop focuses on the role of AI and machine learning algorithms in forecasting renewable energy production from sources such as solar and wind power. Additionally, it explores AI-driven approaches for optimizing energy consumption, including demand-side management (DSM), energy loss reduction, and smart grid optimization. The workshop will emphasize advanced deep learning methods, neural networks, and hybrid models to improve the accuracy of renewable energy forecasting. Furthermore, the application of big data analytics and predictive modeling in energy consumption management will be introduced. Participants will gain hands-on experience with modern AI frameworks and computational tools, equipping them with practical knowledge to implement AI-driven solutions in smart energy systems.
