Optimal planning and operation of multiple energy systems in a Virtual Power Plant

Energy transition is underway to tackle climate change and move towards climate neutrality. This project contributes to the UN sustainable development goal 13 (climate action) through bridging knowledge gaps and building competence for decision-making. The challenge addressed in this project is how to accelerate the process while ensuring the resilient operation of the power system. A virtual power plant is a collection of geographically dispersed generation, storage and flexibility products operating as a single entity in the energy market. This project set out to investigate how to optimally plan the investment and operations of a virtual power plant. Starting with systematic review of virtual power plants and integrated energy systems with real-world examples. The next challenge addressed in this project is forecasting the variable and uncertain wind resources. A new method of quantifying variation is presented alongside a study on how deep learning models could be utilized. Then, a mathematical optimization model is developed and presented for optimal portfolio planning of electricity and heating units to meet the demand. Following that, blockchain technology for energy applications is explored. Specifically looking for energy as a service through smart contracts. Finally, how covid-19 pandemic has impacted the energy sector, and which are the possible future implications is investigated.