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A full-state model predictive energy dispatch method for hybrid energy storage systems

A hybrid energy storage system and energy dispatching technology, applied in the direction of load forecasting, energy storage, and greenhouse gas reduction in the AC network, and can solve the problems of difficulty in guaranteeing system stability.

Active Publication Date: 2019-10-18
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

At present, the design of the MPC energy scheduling strategy mainly considers the establishment of different prediction models under the condition of the separation of the on and off modes of the BS system, but the switching of the working mode makes it difficult to guarantee the stability of the system. Therefore, a new type of switching mode unified MPC energy scheduling is proposed. The strategy is the key to realize the energy optimal scheduling of PV-FC-BS hybrid system

Method used

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  • A full-state model predictive energy dispatch method for hybrid energy storage systems
  • A full-state model predictive energy dispatch method for hybrid energy storage systems
  • A full-state model predictive energy dispatch method for hybrid energy storage systems

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Embodiment Construction

[0058] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0059] The flow chart of the full-state model predictive energy scheduling method for hybrid energy storage system is as follows: figure 1 shown. In the PV-FC-BS (photovoltaic cell-fuel cell-battery) hybrid system, the PV dynamic power model constraints are expressed as:

[0060] 0≤P 2 (k)+P 3 (k)≤P PV (k) (1)

[0061]

[0062]

[0063] Where: P 2 Indicates the power part of the PV module delivered to the load; P 2 max Indicates that the PV unit can supply the maximum power to the load; P 3 Indicates BS charging power; P 3 max Indicates the maximum charging power allo...

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Abstract

The invention relates to a total state model predictive energy scheduling method for hybrid energy storage system. The hybrid energy storage system comprises a photovoltaic cell, a fuel cell and an accumulator. The method comprises the following steps: the opening schema and the closing schema of the accumulator are unified, and the parameters of the accumulator are subjected to adaptive update, the total state model of the hybrid energy storage system is set up; the total state mode is predicted and energy is scheduled according to the predictive result. Comparing with the prior art, the method has the advantages of being the best in energy distribution, small in scheduling calculated amount, accurate in energy scheduling, wide in the range of application and the like.

Description

technical field [0001] The invention relates to the field of energy scheduling, in particular to a full-state model predictive energy scheduling method for a hybrid energy storage system. Background technique [0002] With its fast and flexible adjustment capability, the energy storage system has become an effective means to improve the output characteristics of photovoltaic power generation, improve the quality of system power supply and the safety and stability of the power grid. The battery service life problem caused by frequent charging and discharging of energy storage batteries, and the switching time of backup power sources such as fuel cells have also increased the PV-FC-BS (photovoltaic cell-fuel cell-battery) hybrid system to achieve energy distribution and optimal scheduling. difficulty. [0003] The energy management strategy based on feedback control is usually used to solve the energy allocation and optimal scheduling problems of PV-FC-BS hybrid systems, but ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/32H02J3/38
CPCH02J3/003H02J3/32H02J3/383H02J2203/20Y02E10/56Y02E70/30
Inventor 薛花王育飞张芮嘉胡英俊
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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