A Distributed Control Strategy for Network of Microgrids

Date

2024-9-06

Author

Sezgin, Mustafa Erdem

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Conventional distribution networks (DNs) become deficient with the bi-directional power flows caused by distributed energy resources (DERs), the increasing number of electrical vehicles (EVs), and customer reliability concerns. Microgrids can deal with these problems using advanced communication and computation technologies. Multiple microgrids can be operated as a network of microgrids (NoMGs), bringing further benefits to its members. Although NoMGs can be controlled in a centralized way, the microgrid owners may not be willing to share information with the central authority. Therefore, in this work, a distributed control and communication approach is proposed by considering that each microgrid has a communication network with a limited number of participants, i.e., the communication network of each microgrid does not necessarily cover all other microgrids connected to the DN. The proposed method is compared to the centralized approach, and the results show that the given approach can be utilized as an alternative to centralized control, considering the investment costs and resilience. Moreover, the proposed method is scalable and can be applied to a system even if all participants communicate with each other. In the network of microgrids operation, microgrids might have different controllers; however, this thesis uses a model predictive control (MPC) approach to ensure the economically optimum operation of the microgrid. This controller includes the effects of storage systems, EVs, DERs, and grid outages. A rule-based core controller is implemented along with MPC to simulate the microgrids' real-time operation.

Subject Keywords

Microgrid, Model Predictive Control, Network of Microgrids, Distibuted Control

URI

https://hdl.handle.net/11511/112271

Collections

Graduate School of Natural and Applied Sciences, Thesis