Battery energy storage system peak clipping and valley filling real-time control method based on load prediction

A battery energy storage system, peak shaving and valley filling technology, applied in flexible AC transmission systems, AC network load balancing, etc.

Active Publication Date: 2012-08-01
北京宝光智中能源科技有限公司
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Problems solved by technology

These two constraints are non-continuous constraints and cannot

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  • Battery energy storage system peak clipping and valley filling real-time control method based on load prediction
  • Battery energy storage system peak clipping and valley filling real-time control method based on load prediction
  • Battery energy storage system peak clipping and valley filling real-time control method based on load prediction

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Embodiment Construction

[0046] The load forecasting-based real-time control method for peak-shaving and valley-filling of the battery energy storage system proposed by the present invention has a flow chart as shown in figure 1 shown, including the following steps:

[0047] (1) Find n items in the historical load database that have the same day type as the forecast day (for example, weekdays, weekends, holidays, etc. are forecast days with different day types), and the weather is the same (for example, sunny days and cloudy days are different weather The load data of the date of the forecast day) is called the historical similar day load data, and n historical similar day load curves are respectively obtained from the historical similar day load data; the forecast day is divided into N stages, two adjacent stages The time interval of the predicted load data is Δt;

[0048] (2) Use the linear regression analysis method to carry out extended short-term load forecasting. The forecasting method is as fo...

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Abstract

The invention relates to a battery energy storage system peak clipping and valley filling real-time control method based on load prediction and belongs to the field of power system automatic control. The control method provided by the invention comprises the following steps of: firstly searching similar history daily load data, carrying out expanding short-term load prediction by adopting a linear regression analysis method, building a battery energy storage system peak clipping and valley filling real-time optimization model, solving the battery energy storage system peak clipping and valley filling real-time optimization model by adopting a dynamic programming algorithm, and obtaining the output power of a battery energy storage system at each moment. The control method provided by the invention comprises battery charging and discharging frequency constraint and discharge depth constraint in the real-time optimization model, is used for researching relation between battery life and the charging and discharging frequency and the relation between the battery life and the discharge depth and is beneficial to prolonging the battery life. Minimum load variance is taken as a target function, the peak-to-valley of a load curve can be reduced, the load curve is smoother while constraint conditions are met, and the peak clipping and valley filling application requirement can be met. Local part of the load curve can be smoother by adopting load smoothness constraint.

Description

technical field [0001] The invention relates to a load forecast-based real-time control method for peak shifting and valley filling of a battery energy storage system, which belongs to the field of automatic control of power systems. Background technique [0002] A large-scale battery energy storage system (Battery Energy Storage System, hereinafter referred to as BESS) can realize the function of peak load shaving and valley filling by discharging during peak load and charging during low load. For the power grid, using the battery energy storage system to shave peaks and fill valleys can delay equipment capacity upgrades, improve equipment utilization, and save equipment update costs; for users, using battery energy storage systems to shave peaks and valleys can take advantage of peak and valley electricity prices Poor economic benefits. There are already many large-scale BESSs in operation abroad; in China, China Southern Power Grid has launched demonstration projects for...

Claims

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Application Information

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IPC IPC(8): H02J3/32
CPCY02E40/10
Inventor 陆超鲍冠南袁志昌韩英铎
Owner 北京宝光智中能源科技有限公司
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