4.6 Article

Noncooperative Equilibrium-Seeking in Distributed Energy Systems Under AC Power Flow Nonlinear Constraints

Journal

IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
Volume 9, Issue 4, Pages 1731-1742

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCNS.2022.3181527

Keywords

AC power flow; distributed control; electric power networks; game theory

Funding

  1. Italian University and Research Ministry [ARS01-00305]
  2. Apulia Region (Italy) through the Research for Innovation (REFIN) [C9A3735B]

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A novel noncooperative control mechanism is proposed to optimize the operation of power distribution networks. By incorporating economic factors, physical constraints, and grid stability aspects, the mechanism leverages the flexible demand, dispatchable generation capability, and energy storage potential of active users to increase the penetration of renewable energy and improve the predictability of power injection from the high-voltage grid.
Power distribution grids are commonly controlled through centralized approaches, such as the optimal power flow. However, the current pervasive deployment of distributed renewable energy sources and the increasing growth of active players, providing ancillary services to the grid, have made these centralized frameworks no longer appropriate. In this context, we propose a novel noncooperative control mechanism for optimally regulating the operation of power distribution networks equipped with traditional loads, distributed generation, and active users. The latter, also known as prosumers, contribute to the grid optimization process by leveraging their flexible demand, dispatchable generation capability, and/or energy storage potential. Active users participate in a noncooperative liberalized market designed to increase the penetration of renewable generation and improve the predictability of power injection from the high-voltage grid. The novelty of our game-theoretical approach consists in incorporating economic factors as well as physical constraints and grid stability aspects. Finally, by integrating the proposed framework into a rolling-horizon approach, we show its effectiveness and resiliency through numerical experiments.

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