A Distributed Energy Allocation Method for Microgrid Community Based on Demand Side Response

Abstract

The invention relates to a micro-gird community distributed energy distribution method based on a demand side response. The method includes following steps: (1) establishing an Operator optimization model; (2) providing a distributed optimization algorithm based on the demand side response; and (3) introducing a peak-to-average ratio PAR to adjust a load side to satisfy the requirement of a largepower grid. According to the demand side response technology, a distributed control policy is employed, micro-grids perform parallel operation, the leakage of privacy information is effectively avoided, the problem of single-point fault is avoided, the load requirement of the whole micro-grid community can be controlled in a coordinated manner through the setting of the PAR, and through a particleswarm intelligent optimization algorithm, the optimal operation cost of the micro-grid is guaranteed, and the power consumption cost of users is reduced.

Description

technical field [0001] The invention relates to a distributed energy distribution method based on demand-side response technology in the construction of a micro-grid community, especially for a micro-grid community system containing a large number of single micro-grids, optimizing the load demand of the entire micro-grid community to meet the needs of accessing a large power grid The requirements of the traditional central controller are abandoned, and the distributed control method is used to improve the stability and economy of the micro-grid community system, and reduce the transmission of private data between micro-grids, ensuring the privacy of the key load data of a single micro-grid. Background technique [0002] As an integrated system integrating distributed power generation, microgrid is composed of distributed power supply, energy storage device, load and energy distribution system, etc., which can effectively solve the problem of new energy accessing the grid. Th...

AI Technical Summary

Problems solved by technology

This adjustment method can often achieve better results in a small-scale microgrid system, but when the user base is too large, the unified choice of users will lead to a new load peak, that is, the peak shift phenomenon; the second is the remote Direct control, the large power grid sets the optimal load demand at this moment through peak and valley adjustment, and obtains the right to start and stop user equipment by signing an agreement, so as to remotely control the size of the load demand

This adjustment method needs to obtain the user's private information (the specific power demand of the equipment), and it belongs to the remote central adjustment. When the user base is too large, the central controller needs great computing power and communication capabilities. In addition, remote control has Higher control costs, so this method is often used in some emergency situations, such as short-circuit faults, etc.

Images