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Power optimization scheduling-based microgrid energy storage system state consistency control method

An energy storage system and power optimization technology, applied in AC network circuits, AC network load balancing, single-network parallel feeding arrangements, etc., can solve the problems of overcharging and overdischarging of energy storage units, failure to guarantee the operation of energy storage units, and economic losses Issues affecting the safe and stable operation of the system

Active Publication Date: 2019-10-22
NORTHEASTERN UNIV
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Problems solved by technology

Although the existing method can theoretically achieve the goal of power optimization scheduling through reasonable control, the optimization results produced by it do not take into account the internal operating state of the energy storage in real time, so that the energy storage unit cannot be guaranteed to operate in the optimal state, reducing the energy consumption. The utilization efficiency of the energy storage system can easily lead to overcharging and overdischarging of the energy storage unit, causing unnecessary economic losses and even affecting the safe and stable operation of the system

Method used

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  • Power optimization scheduling-based microgrid energy storage system state consistency control method
  • Power optimization scheduling-based microgrid energy storage system state consistency control method
  • Power optimization scheduling-based microgrid energy storage system state consistency control method

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Embodiment Construction

[0118] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0119] Such as image 3 Shown is a schematic diagram of the structure of the microgrid system of this embodiment and a communication topology diagram of energy storage units, in which there are 8 energy storage units, and the operating parameters of each energy storage unit are shown in Table 1;

[0120] Table 1 Operating parameters of each energy storage unit

[0121]

[0122]

[0123] Step 1: Collect historical power data of wind power, photovoltaics and loads in the microgrid energy storage system to form n samples, and use the mean value method to replace unreasonable data in the samples to reduce the impact of invalid values ​​in the data on the prediction;

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Abstract

The invention discloses a power optimization scheduling-based microgrid energy storage system state consistency control method, which belongs to the technical field of control of the microgrid energystorage system. The method adopts time-of-use price, new energy prediction output and energy storage unit battery pack state of energy SOE to determine an energy storage unit operation strategy on thebasis of considering energy storage charge and discharge efficiency and ensuring system active power balance, and considers an energy storage unit battery pack state of energy SOE imbalance problem and time-varying energy storage unit power charge and discharge bearing capability SOP, and a microgrid energy storage system power balance model is built; and besides, through a consistency protocol,energy storage units SOH and SOE are ensured to be consistent, the application performance of the energy storage unit in the energy storage system is improved, the overall charge and discharge times of the energy storage system is effectively reduced, and the service life is improved.

Description

technical field [0001] The invention relates to the technical field of control of a microgrid energy storage system, in particular to a state consistency control method for a microgrid energy storage system based on power optimization scheduling. Background technique [0002] The microgrid can operate in the grid-connected mode and the island mode. In the island mode, how to ensure power balance and how to make it work in the most efficient way have become the key issues to be solved at present. Because wind energy and solar energy are abundant and clean, they are currently the most Promising new energy technologies, however, their volatility and uncontrollability also bring new challenges to microgrid control. The MPPT algorithm emphasizes the high utilization rate of new energy, but when the power generation of new energy is not equal to the load consumption, it will lead to an imbalance between supply and demand. The application of energy storage system in microgrid can ...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02J3/32
CPCH02J3/381H02J3/32H02J2203/20Y02E70/30
Inventor 马大中刘丽月李林娟胡旌伟王睿孙秋野刘鑫蕊程科
Owner NORTHEASTERN UNIV
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