Method for optimized mutual-aid trading of electricity among micro-grid user group based on real-time price

Abstract

The invention discloses a method for optimized mutual-aid trading of electricity among micro-grid user group based on real-time price. According to the situation of distributed generators (DG) and with the help of a lithium battery and other storage units, users can optimize the load in a real-time price environment within the scope of safe circulating charge and discharge based on the characteristic of rapid charge and discharge according to the needs of users. Due to mismatch between the DGs and the load time of users, the DG electricity is redundant or electricity purchase from a power grid is needed because of shortage in different periods of time. By adopting the method of the invention, redundant DG electricity can be traded among multiple users in different periods of time so as to meet the requirements of the users, the DG utilization rate is improved, and the electricity purchasing cost is reduced. According to the strategy, a root tree is generated at different time points. By adopting a depth-first dynamic programming algorithm, a root node and child nodes are determined according to whether there is redundant DG electricity in a time period, and redundant DG electricity of the root node is allocated to the child nodes. By adopting the method of the invention, the overall DG utilization rate can be improved, and the electricity purchasing cost can be reduced for users.

Description

technical field [0001] The invention relates to the field of distributed power generation and energy storage equipment of a microgrid system, in particular to an optimization method for trading electric energy between users based on a real-time price (Real-Time Price, RTP). Background technique [0002] With the maturity of the microgrid system, the technology of distributed power generation (DG) and energy storage unit (Storage) has also been developed, and can be applied to household-level users. Distributed power generation mainly includes renewable energy generation systems such as solar energy and wind energy; for a single household, in an RTP-based environment, the distribution of loads (including elastic loads and rigid loads) can be optimized so that it can be compared with DG and Storage are matched, and the cost of purchasing electricity is minimized. However, due to the volatility of DG and the limitation of Storage, the load cannot fully match DG and Storage in ...

AI Technical Summary

Problems solved by technology

However, due to the volatility of DG and the limitation of Storage, the load cannot fully match DG and Storage in different time periods. In some time periods, the excess DG will be wasted, and in some time periods, DG cannot meet the demand and needs to be purchased from the grid. Electricity

And when the number of such users reaches a considerable scale, a large amount of electric energy will be lost when the DG is surplus, and the cost of purchasing electricity from the grid is relatively high

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