Global warming and environmental problems require fossil fuels to be replaced by cleaner and sustainable energy sources. Renewable energy sources such as solar, wind, biomass and hydroelectricity; It offers attractive solutions in terms of low carbon emissions and sustainability. However, the intermittent and unpredictable production structure of these resources causes balance problems in classical energy transmission and distribution systems. At this point, smart grids make the integration of renewable energy into the grid possible and sustainable with their flexible structures and data-oriented working systems.
There are difficulties encountered in the integration of renewable energy sources into the electricity system. The constant fluctuation of production depending on factors such as sunrise and sunset times, cloudiness or sudden interruption of the wind creates difficulties in the field of production change. However, the inadequacy of advanced weather forecasting systems shows that production prediction cannot be made with full accuracy. Along with these instabilities, sudden production changes negatively affect the network frequency and voltage. Additionally, when we look at distributed generation points, decentralized SPP/RES projects make it difficult for us to deal with multiple entry points of the grid.
Today, traditional power generation plans have difficulty meeting the rapidly increasing power requirements in the world within the scope of energy efficiency. Smart grids have begun to replace traditional power grids in many countries. Smart grid is a new generation of electricity transmission and distribution that integrates existing power grids with advances in information communication technology, thereby increasing overall efficiency. It would not be wrong to say that they are new generation energy infrastructures created by integrating digital monitoring, communication and control capabilities into traditional electricity transmission and distribution systems. These systems go beyond balancing energy supply and demand and synchronize all assets integrated into the grid (distributed energy resources, consumers, storage systems, etc.) in a data-based and learnable structure. Thanks to smart grids, it is aimed to improve the performance and reliability of the grid. At the same time, reducing costs in all aspects such as production, transmission, distribution and consumption with smart grids is among the targets.
Basic Features of Smart Grids
► Real-Time Monitoring and Control: The current status of the network can be monitored through SCADA, Advanced Meter Infrastructure (AMI) and IoT systems.
► Bidirectional Energy and Data Flow: The traditional consumer structure is turning into the prosumer (consumer + producer) model.
►EEnergy Efficiency and Demand Management: Thanks to smart meters, the load profile can be optimized by analyzing consumer behavior.
► Distributed Energy Integration: It dynamically includes variable generation sources such as sun and wind into the system.
► Predictive Maintenance and Failure Prediction: Equipment life and failure risk can be predicted with machine learning techniques.
Benefits of Smart Grids
► It provides optimum energy management by processing data from all network elements.
► It increases consumer participation and supports flexible demand systems.
► It creates infrastructure for energy trading and microgrid models.
These structures form the basis of an adaptive and data-based future vision that adapts to the ever-changing structure of the energy world. In parallel with the digital transformation dynamics in the world, electricity networks are moving away from their traditional and static structures and evolving into data-oriented, agile and learnable systems. Smart Grids, which form the basis of this new paradigm, are infrastructures that manage interaction between network components and enable real-time decision-making. Advanced Meter Infrastructure (AMI) represents the sensor network, which is the basic data source of this structure; It provides information not only on energy consumption but also on the quality parameters of the system (voltage, frequency, harmonics, etc.). In Türkiye and around the world, AMI systems are widely applied in areas such as digitalization in measurement, anomaly detection, remote meter reading and demand side management.
Smart grids perform many dynamic and autonomous functions to integrate renewable energy systems into the grid safely and efficiently. These mechanisms are detailed under the following headings:
► Dynamic Load Management: Grid stability is ensured by shifting consumption to times when production is high. Consumers’ energy usage times are optimized through demand side participation and dynamic pricing mechanisms.
► Predictive Production and Demand Tracking: Solar and wind production is estimated based on meteorological data. At the same time, demand forecasting is made by analyzing consumer behavior. This information is used in decision support systems.
► Advanced Meter Systems (AMI): Thanks to smart meters, both consumption and individual production are monitored instantly. This provides effective energy management to both energy companies and users.
► Balancing with Energy Storage Systems: Excess production can be stored with lithium-ion batteries and similar technologies, and by using them when production is low, supply-demand balance is achieved.
► Autonomous Distributed Energy Management (DERMS): It enables autonomous monitoring and coordination of distributed resources such as multiple micro Solar Power Plants, RES, and batteries. It works integrated with SCADA.
► Critical Load Managementi: In times of disaster or lack of supply, energy is transferred to facilities such as hospitals and data centers with priority. Secondary loads can be limited in time.
► Prosumer Management and Bidirectional Energy Flow: Home producers (prosumers) can sell excess production to the grid. Utopia-quality energy flow is ensured with two-way meters and net billing systems.
Smart grids enable the integration of renewable energy sources, making energy systems more flexible, stable and efficient. These networks have a structure that can instantly monitor and balance production-consumption imbalances, manage energy flow bi-directionally and actively involve the demand side in the process. Thanks to dynamic load management, synchronization with energy storage systems, artificial intelligence-supported forecasting algorithms and advanced metering infrastructures, rapid reactions can be made to fluctuations in renewable production. In addition, with the spread of prosumer (prosumer) structures, the integration of individual production points into the network increases both the security of supply and social energy participation of the system. In the future, smart grids supported by technologies such as artificial intelligence, blockchain, quantum communication and 6G will play a central role not only in energy transmission, but also in sustainability, transparency and the construction of energy democracy.