This project aims to develop a multiple-microgrid smart energy dispatch platform with a high penetration of green energy. The microgrid includes power prosumers with their own distributed energy resources on the demand side. By using blockchain smart-contracthyper-ledger technologies, the green-power transactions between userstheir certifications can be achieved. Besides, the microgrid can provide demand responseancillary services in response to grid demand, so as to maximize the operational benefits of microgrid users, enhance grid reliability,relieve the impact of high-penetration green energy.

This project aims to develop a multiple-microgrid smart energy dispatch platform. The microgrid includes power prosumers with their own distributed energy resources on the demand side. By using blockchain smart-contracthyper-ledger technologies, the green-power transactions between userstheir certifications can be achieved. The proposed reinforcement learning (RL) dispatch method can quickly determine the optimal operation of energy storage system, electric vehicles, green energy,air-conditioning loads to adapt to the diversification of energy resourcesenvironmental uncertainty in microgrids. In addition, the control models are expected to accumulate experiences with timeautomatically improve performance.

This invention is going to propose a blockchain power exchange platform which is based on distributed power management system featured hierarchical blockchain, artificial intelligenceinternet of thing. The platform not merely providing matching for distributed power(green power)demand response offering but providing distributed power management system for users through implementing edge computing by AIoT. Finally, the platform will meet the demand of virtual power plant, distributed power prosumermicrogrid.