Distributed type gradient algorithm based microgrid energy storage unit optimization control method

An energy storage unit and gradient algorithm technology, applied in electrical components, energy industry, circuit devices, etc., can solve the problems of incapable of optimal scheduling of energy storage units and imperfect distributed control strategies of energy storage units.

Active Publication Date: 2016-08-17
张家港市锦丰科技创业发展有限公司
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Problems solved by technology

[0007] At present, the distributed control strategy of the energy storage units in the existing microgrid is not perfect enough, it is impossible to optimize the scheduling of

Method used

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  • Distributed type gradient algorithm based microgrid energy storage unit optimization control method
  • Distributed type gradient algorithm based microgrid energy storage unit optimization control method
  • Distributed type gradient algorithm based microgrid energy storage unit optimization control method

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Embodiment Construction

[0044] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0045] like figure 1 As shown, the present invention designs a microgrid energy storage unit optimization control method based on a distributed gradient algorithm. The method is used to optimize the scheduling of the energy storage unit in the microgrid. The method specifically includes the following steps:

[0046] Step 1. Establish a grid power balance model of the microgrid, the grid power balance model is:

[0047] Σ k ∈ W G P G , k - Σ j ∈ W L P L , j - ...

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Abstract

The invention discloses a distributed type gradient algorithm based microgrid energy storage unit optimization control method. The microgrid energy storage unit optimization control method comprises the steps of establishing a power grid power balance model for the microgrid; determining the relations between the charging-discharging efficiency of the energy storage unit and the charging-discharging power, and between the charging-discharging efficiency of the energy storage unit and the state of charge separately according to the electric energy loss in the charging-discharging process of the energy storage unit in the microgrid; carrying out modeling and analyzing on the charging-discharging process of the energy storage unit by taking the minimized electric energy loss in the charging-discharging process of the energy storage unit as the target function; optimizing and solving the established charging model for the energy storage unit based on a multi-agent system by fully utilizing the distributed type gradient algorithm to obtain a model optimal solution; and obtaining a charging-discharging strategy of the energy storage unit according to the model optimal solution, and controlling the implementation of the charging strategy. According to the optimization control method, the energy storage unit in the microgrid is optimized and dispatched, so that an optimization result equivalent to that obtained in a centralized method can be obtained; and in addition, the optimization control method is low in implementation cost, flexible and extensible, and capable of effectively solving the problem existing in the access of the large-scale battery energy storage system.

Description

technical field [0001] The invention relates to an optimal control method for a micro-grid energy storage unit based on a distributed gradient algorithm, and belongs to the technical field of optimal scheduling of electric power systems. Background technique [0002] A microgrid is a promising power network that integrates various distributed generators (DG) and energy storage. The microgrid can be connected to the large grid or run in an island mode. In the island mode, one of the key issues is how to ensure the power balance of the microgrid and how to achieve this goal in the most economical way. [0003] The abundance, cleanness, and free nature of wind and solar energy make them the most promising renewable energy supplies, however, the intermittency of wind and solar power generation brings new challenges to the operation and control of microgrids, especially in wind energy and high penetration of solar energy. Due to its flexible electric power throughput characteri...

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Application Information

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IPC IPC(8): H02J3/28
CPCH02J3/28H02J3/382H02J2203/20Y02E40/10Y02P80/14
Inventor 岳东王晓亮谢俊黄崇鑫翁盛煊解相朋王璐
Owner 张家港市锦丰科技创业发展有限公司
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