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

A fuzzy self-adaptive, hybrid energy storage technology, applied in electrical energy storage systems, single-grid parallel feeding arrangements, electrical components, etc., can solve the problem of not considering the impact of energy quality, etc. The effect of reducing energy dissipation

Active Publication Date: 2019-01-18
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The existing hybrid energy storage power deployment algorithm mainly makes reasonable use of the operating characterist

Method used

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

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Embodiment Construction

[0035] Such as figure 1 As shown, it is a hybrid energy storage scheduling system based on a virtual fuzzy adaptive control algorithm involved in this embodiment, including: a hybrid energy storage energy management system, a lithium battery energy monitoring and management module connected to it, and a hot water storage system Box energy monitoring and management module and indoor temperature energy monitoring and management module, in which: hybrid energy storage energy management system collects the operation information of each energy storage unit and performs unified scheduling of hybrid energy storage through virtual fuzzy adaptive control algorithm, lithium battery energy The monitoring and management module monitors the operating status of the lithium battery unit and sends a control command for the lithium battery to the hybrid energy storage management system. The control command of the hot water storage tank, the indoor temperature energy monitoring and management m...

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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...

Claims

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Application Information

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IPC IPC(8): H02J3/28H02J3/32H02J15/00H02J3/46
CPCH02J3/28H02J3/32H02J3/46H02J15/00
Inventor 樊飞龙黄文焘邰能灵郑晓冬赵逸
Owner SHANGHAI JIAO TONG UNIV
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