Developing novel optimization models and algorithms for energy systems with renewable energy and storage capacities

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Electric networks continue to increase in complexity because of the deployment of market mechanisms, the integration of renewable generation and distributed energy sources (e.g., wind and solar), and the introduction of dynamic demand from sources such as electric vehicles and price sensitive electricity loads. These revolutionary changes and their associated uncertainties can be controlled by implementing intelligent data-driven management systems, and adding flexibility into the distribution network. Although advances in power electronic devices enable the collection of real-time data related to consumers' demand and generators' supply, we lack proper approaches to describe electricity consumption and production patterns, that can accurately predict future demand and electricity supply, and to prescribe efficient and reliable policy mechanisms to build resilient and affordable power grids. ***The long-term objective of this research program is to provide a framework for an environmentally clean, economically efficient, and strongly resilient power grid. To achieve this goal, models and algorithms that allow the integration of renewable energy and battery technologies in both short-term operational and long-term planning models will be developed. The program also investigates pricing models, providing both consumers and power generators with satisfactory electricity market prices to encourage them to participate in the electricity market. In addition, the research program will investigate robust, accurate and efficient solution methodologies for nonlinear and integer stochastic power system operational and planning models. The research program seeks to find answers to the following questions:*** Which mathematical approaches and heuristics should be used to solve optimization problems in power systems? *** How should the short-term operational models be formulated to optimize the power system variables, while maximizing affordability, reliability and resiliency of the system?*** How do we collect and analyze data related to consumers' behaviour and generation capacities to forecast future trends and prescribe efficient policy mechanisms to promote clean and affordable energy?*** What policy instruments should be deployed to encourage economical and efficient business models in the long run, while considering environmental obligations and short-term operational constraints?***Through the program, HQP will gain comprehensive knowledge in the areas of operations research, data analytics, and energy networks. They will be poised to hold academic and industrial positions as data scientists, solution developers, energy market specialists, and operations managers to improve Canada's energy future by promoting sustainable solutions.**