Hybrid energy storage scheduling method and system based on virtual fuzzy adaptive control algorithm

Abstract

A hybrid energy storage scheduling method and system based on a virtual fuzzy adaptive control algorithm is disclosed. The battery-like characteristics of a heating system are extracted based on the basic architecture of a household DC electric-heating coupling system, and a two-stage dynamic differential model considering the dynamic characteristics of multi-energy flow is established. Based on the two-stage dynamic differential model, the capacity and state of charge of liquid and gaseous virtual batteries, which reflect the characteristics of heat storage and temperature-controlled load operation, are calculated. Based on the coefficient of performance of heat pump, the fuzzy membership function of energy storage unit operation priority is designed. A fuzzy control rule is designed; Byusing the principle of minimum membership degree, the fuzzy judgment results of the power distribution coefficients of the energy storage unit under different working conditions are obtained. The final power distribution coefficient of energy storage cell considering the capacity difference of energy storage cell are obtained; based on the final power allocation coefficient and total dispatching power, considering the energy storage power constraints, the final power allocation strategy is calculated to achieve hybrid energy storage dispatching.

Description

technical field [0001] The invention relates to a technology in the field of battery management, in particular to a hybrid energy storage scheduling method and system based on a virtual fuzzy self-adaptive control algorithm. Background technique [0002] In recent years, energy storage systems have been widely used in power grid operation and new energy consumption. Hybrid energy storage system is one of the current research hotspots. The power allocation strategy based on the virtual fuzzy adaptive control algorithm is the key to the hybrid energy storage management technology. The existing hybrid energy storage power deployment algorithms mainly focus on the rational utilization of the operating characteristics of different units, but do not consider the impact of energy grade and energy efficiency on the deployment results. In order to comprehensively consider the influence of energy grade, state of charge, heat pump performance coefficient and user comfort on the contr...

AI Technical Summary

Problems solved by technology

The existing hybrid energy storage power deployment algorithm mainly makes reasonable use of the operating characteristics of different units, but does not consider the impact of energy grade and energy efficiency on the deployment results

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