Abstract
We propose an optimal electric energy management of a cooperative multi-microgrid community with sequentially coordinated operations. The sequentially coordinated operations are suggested to distribute computational burden and yet to make the optimal 24 energy management of multi-microgrids possible. The sequential operations are mathematically modeled to find the optimal operation conditions and illustrated with physical interpretation of how to achieve optimal energy management in the cooperative multi-microgrid community. This global electric energy optimization of the cooperative community is realized by the ancillary internal trading between the microgrids in the cooperative community which reduces the extra cost from unnecessary external trading by adjusting the electric energy production amounts of combined heat and power (CHP) generators and amounts of both internal and external electric energy trading of the cooperative community. A simulation study is also conducted to validate the proposed mathematical energy management models.
Highlights
To make the electricity grid less centralized, the concept of microgrids was proposed [1]
The ancillary internal trading in addition to the main internal trading enables such sequentially coordinated operations to achieve the optimal energy management of multi-microgrids possible, which reduces the extra cost from unnecessary external trading by adjusting the production amounts of combined heat and power (CHP) generators
In order to validate the optimal energy management operation processes, a simulation study has been conducted for a cooperative multi-microgrid community and its results are presented
Summary
To make the electricity grid less centralized, the concept of microgrids was proposed [1]. We propose an optimal energy management of a cooperative multi-microgrid community with sequentially coordinated operations. The ancillary internal trading in addition to the main internal trading enables such sequentially coordinated operations to achieve the optimal energy management of multi-microgrids possible, which reduces the extra cost from unnecessary external trading by adjusting the production amounts of CHP generators. The sequential operation processes for the energy management in the multi-microgrid community are mathematically modeled to find the optimal operation conditions which minimize the global operation cost; the optimal operation conditions include the electric energy production amounts of CHP generators and the amounts of both internal and external electric energy trading. The global electric energy optimization processes are illustrated with physical interpretation of sequentially coordinated operations how to achieve optimal energy management in the cooperative multi-microgrid community.
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