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

A technology of power optimization and trading methods, applied in computing, data processing applications, instruments, etc., can solve problems such as high electricity purchase costs, incomplete matching, waste, etc.

Active Publication Date: 2015-09-16
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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 ne...

Method used

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

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Embodiment Construction

[0070] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0071] Depend on figure 1 As can be seen from the home system model, the real-time electricity price data comes from the electricity price information in QLD, Queensland, on May 3, 2014 provided by the Australian operator AEMO, such as figure 2 As shown; for a single user, the entire network includes 2 DGs, where it is assumed that DG1 is powered by wind energy (0-5KW), DG2 is powered by rooftop photovoltaics (0-3KW), and the energy storage unit is a 12V, 220Ah lithium battery. That is, the maximum capacity is 2.64KWh, and the charging and discharging range is limited to 20%-90%. It is assumed that the DG output capacity of each household user and the battery energy storage capacity fluctuate between -10% and +10%. In addition, the home system load includes Rigid load (not adjustable, must give priority to meet its electricity deman...

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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 ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 王秦越杨强颜文俊
Owner ZHEJIANG UNIV
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