Smart Grid Seminar
Moore B280
Two Talks: The Commelec Framework // Load-Flow Problem in Distribution Networks: Local Existence and Uniqueness, Novel Fixed-Point-Based Solution Method with Linear Complexity Per Iteration, and Applications for Real-Time Control
Andrey Bernstein,
EPFL, Switzerland,
Niek J. Bouman,
EPFL, Switzerland,
These two talks will be presented back-to-back.
Talk 1:
The Commelec Framework
We design an agent-based framework for real-time and explicit control of electrical grids with a heterogeneous mix of intermittent and uncertain generation (like PV), storage capacity and loads. The method is scalable to grids of any size, and solves the problems of quality of service and energy balance without major investment. Our approach avoids solving stochastic mixed-integer optimization at each time step. Instead, the control method is based on projected gradient descent​. The framework provides a "Grid Operating System" that allows device controllers for intelligent buildings, e-car charging systems, etc. to be easily connected and provide real time support to the grid.
Reference: http://arxiv.org/
Talk 2:
Load-Flow Problem in Distribution Networks: Local Existence and Uniqueness, Novel Fixed-Point-Based Solution Method with Linear Complexity Per Iteration, and Applications for Real-Time Control
We present explicit sufficient conditions that guarantee the existence and uniqueness of the feasible load-flow solution for distribution networks with a generic topology (radial or meshed) modeled with positive sequence equivalents. The conditions have low computational complexity and thus can be efficiently verified in a real system. Once the conditions are satisfied, the unique load-flow solution can be reached by a given fixed point iteration method of approximately linear complexity. Therefore, the proposed approach is of particular interest for modern active distribution network (ADN) setup in the context of real-time control. We outline possible applications such as verifying in real-time that a given collections of power setpoints leads to a feasible and unique electrical state (the "admissibility problem" in the Commelec framework). This can be used in a more general setting, for example to perform robust OPF.
Talk 1:
The Commelec Framework
We design an agent-based framework for real-time and explicit control of electrical grids with a heterogeneous mix of intermittent and uncertain generation (like PV), storage capacity and loads. The method is scalable to grids of any size, and solves the problems of quality of service and energy balance without major investment. Our approach avoids solving stochastic mixed-integer optimization at each time step. Instead, the control method is based on projected gradient descent​. The framework provides a "Grid Operating System" that allows device controllers for intelligent buildings, e-car charging systems, etc. to be easily connected and provide real time support to the grid.
Reference: http://arxiv.org/
Talk 2:
Load-Flow Problem in Distribution Networks: Local Existence and Uniqueness, Novel Fixed-Point-Based Solution Method with Linear Complexity Per Iteration, and Applications for Real-Time Control
We present explicit sufficient conditions that guarantee the existence and uniqueness of the feasible load-flow solution for distribution networks with a generic topology (radial or meshed) modeled with positive sequence equivalents. The conditions have low computational complexity and thus can be efficiently verified in a real system. Once the conditions are satisfied, the unique load-flow solution can be reached by a given fixed point iteration method of approximately linear complexity. Therefore, the proposed approach is of particular interest for modern active distribution network (ADN) setup in the context of real-time control. We outline possible applications such as verifying in real-time that a given collections of power setpoints leads to a feasible and unique electrical state (the "admissibility problem" in the Commelec framework). This can be used in a more general setting, for example to perform robust OPF.
For more information, please contact Sydney Garstang by email at sydney@caltech.edu.
Event Series
Smart Grid Seminar Series