Abstract:
Frequency regulation in interconnected networks is one of the main challenges posed by wind turbines in modern power systems. The wind power fluctuation negatively contri...Show MoreMetadata
Abstract:
Frequency regulation in interconnected networks is one of the main challenges posed by wind turbines in modern power systems. The wind power fluctuation negatively contributes to the power imbalance and frequency deviation. This paper presents an intelligent agent based load frequency control (LFC) for a multi-area power system in the presence of a high penetration of wind farms, using multi-agent reinforcement learning (MARL). Nonlinear time-domain simulations on a 39-bus test power system are used to demonstrate the capability of the proposed control scheme.
Date of Conference: 08-10 September 2010
Date Added to IEEE Xplore: 28 October 2010
ISBN Information:
Print ISSN: 1085-1992