Power system planning is the process of designing and developing the future configuration and operation of the electric power system. It involves various aspects such as forecasting the demand and supply of electricity, assessing the reliability and security of the system, evaluating the economic and environmental impacts of different options, and selecting the optimal plan that meets the objectives and constraints of the stakeholders. Power system planning is essential for ensuring the efficient, reliable, and sustainable operation of the power system in the face of increasing uncertainty and complexity.
Power system planning has traditionally been based on deterministic approaches that assume a single or a few scenarios of future conditions. However, these approaches are becoming inadequate for dealing with the challenges posed by the energy transition, such as the integration of large-scale renewable energy sources, distributed energy resources, emerging technologies and business models, policy changes, and climate change. These factors introduce significant uncertainty and variability in the power system operation and require more flexible and robust planning methods that can account for multiple possible futures and their associated risks.
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One of the emerging trends in power system planning is to adopt probabilistic approaches that use stochastic models and methods to represent and quantify the uncertainty in the power system. Probabilistic approaches can provide more realistic and comprehensive assessments of the system performance and can help identify optimal plans that are resilient to a wide range of scenarios. Probabilistic approaches can also facilitate the integration of power systems with other energy systems and sectors, such as gas, hydrogen, and transport, by capturing the interdependencies and synergies among them.
Another trend in power system planning is to use artificial intelligence (AI) techniques to enhance the modelling and decision-making capabilities of planners. AI techniques can help improve the accuracy and efficiency of forecasting, simulation, optimization, and evaluation methods used in power system planning. AI techniques can also enable new functionalities such as learning from data, adapting to changing conditions, and providing insights and recommendations to planners.
Power system planning is a complex and multidisciplinary field that requires advanced knowledge and skills from various domains such as electrical engineering, mathematics, statistics, computer science, economics, and environmental science. To learn more about power system planning, you can download some free PDF books from the following links:
We hope you find these books useful for learning more about power system planning. If you have any questions or feedback, please feel free to contact us.
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