Distributed Automation of Power Systems with IEC61499: GOOSE Messaging and Design Flow

Abstract

The vision of new smart grid means the current centralized power grid architecture will become more distributed as renewable energy source are integrated into the power grid and the centralized control system will not be efficient in controlling a distributed smart grid. Therefore, there is a need for a new framework which is able to support the communication requirement and the capability of designing distributed based control for smart grid applications. The two main requirements for the future smart grid is the need for a communication framework which is capable of handling the digital communication requirement of the smart grid and the ability to design distributed based control systems for the smart grid. The proposed solution is a combination of the IEC61499 and IEC61850 solution which is capable of satisfying the communication requirement and the distributed control design requirement. The IEC61850 standard provides to communication required for smart grid automation and the IEC61499 standard provides the platform for designing distributed based control systems for smart grid applications. This thesis shows three aspects of the combined IEC61499 and IEC61850 solution. The first aspect is the new engineering process based on the combined solution which utilizes SCL description languages to generated IEC61499 function blocks and vice versa. The second aspect is the implementation of programmable logic in the IEC61499 and IEC61850 solution which extends the iLN architecture to add fixed logic and editable logic function blocks to the iLN architecture demonstrated on the "52 Blocking" test scenario based on distributed design. The third aspect is the integration of GOOSE messaging for the IEC61499 and IEC61850 solution. For the solution which includes a software stack, a visual interface was used to configure GOOSE messaging based on the logical node function blocks in the function block environment. For the solution which does not include a software stack, the solution was to implement the dataset, control block and the GOOSE message receiver as function blocks. The non-software stack solution was then demonstrated on the sympathetic trip scenario using distributed control in the Co-Simulation environment.