A benchmark test system for networked microgrids
IEEE Transactions on Industrial Informatics, 2020•ieeexplore.ieee.org
The coordinated operation of multiple microgrids (MGs) enables high penetration of locally
available distributed energy resources. It enhances the reliability and resiliency of the power
network and reduces the cost of energy. Although networked MGs have attracted significant
research interests, validation of various studies is difficult because there is no benchmark
test system available for such systems. A benchmark test system can be used to validate
static and dynamic studies related to the networking of multiple MGs, such as optimal power …
available distributed energy resources. It enhances the reliability and resiliency of the power
network and reduces the cost of energy. Although networked MGs have attracted significant
research interests, validation of various studies is difficult because there is no benchmark
test system available for such systems. A benchmark test system can be used to validate
static and dynamic studies related to the networking of multiple MGs, such as optimal power …
The coordinated operation of multiple microgrids (MGs) enables high penetration of locally available distributed energy resources. It enhances the reliability and resiliency of the power network and reduces the cost of energy. Although networked MGs have attracted significant research interests, validation of various studies is difficult because there is no benchmark test system available for such systems. A benchmark test system can be used to validate static and dynamic studies related to the networking of multiple MGs, such as optimal power flow, energy management, control, stability, and protection. To fill in this research gap, a benchmark test system for networked MGs is proposed in this article, where four independent MGs are interconnected and coordinated. Required data, such as line parameters, load data, and power generating sources, have been prepared for each MG considered in the system. To provide a general test platform, typical datasets are made as close to practical MGs as possible. Parameters used to evaluate reliability indices and resiliency measures of the system are given for the entire test system. Future potential studies, which can be tested on the proposed benchmark test system, are discussed.
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