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A Calculation Method for Optimal Capacity of Energy Storage System for Load Shaving and Valley Filling

An energy storage system, peak-shaving and valley-filling technology, applied in computing, special data processing applications, AC network load balancing, etc. Relieve stress and delay the effect of upgrading

Active Publication Date: 2016-05-25
SOUTHERN POWER GRID PEAK LOAD & FREQUENCY REGULATION GENERATING CO LTD +1
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AI Technical Summary

Problems solved by technology

However, due to the unreasonable power consumption structure, the peak-to-valley difference of the load in the power grid is often very large
The power grid built to meet the peak load, its equipment is not fully utilized when the power consumption is low, which leads to low asset utilization of the power grid as a whole and poor economic benefits

Method used

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  • A Calculation Method for Optimal Capacity of Energy Storage System for Load Shaving and Valley Filling
  • A Calculation Method for Optimal Capacity of Energy Storage System for Load Shaving and Valley Filling
  • A Calculation Method for Optimal Capacity of Energy Storage System for Load Shaving and Valley Filling

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Embodiment Construction

[0029] The method for calculating the optimal energy capacity of an energy storage system proposed by the present invention for load shaving and filling valleys includes the following steps:

[0030] (1) Establish an energy storage system energy capacity optimization model for load shaving and valley filling:

[0031] minf=E cap

[0032] Among them, E cap is the rated energy capacity of the energy storage system, and f is the optimization objective;

[0033] (2) The constraint conditions of the energy capacity optimization model of the energy storage system for peak load shaving and valley filling mentioned above are set as follows:

[0034] (2-1) The power constraints of the energy storage system are as follows:

[0035] - P S max ≤ P S ( k ) ≤ P S max ...

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Abstract

The invention relates to an energy storage system optimum capacity calculating method for peak load shifting and belongs to the technical field of electric power system optimization calculation. According to the method, an energy storage system energy capacity optimization model used for peak load shifting is built, then, constraint conditions for the energy storage system energy capacity optimization model used for peak load shifting are set, a quadratic programming solving method is adopted for solving a quadratic programming model, and the optimum energy capacity of an energy storage system is obtained. According to the method, on the basis of historical load data, the energy storage system energy capacity needed for meeting the appointed peak load reduction quantity can be calculated, pressure of peak loads on a power grid is effectively relieved, and upgrading of an electric power system device is delayed.

Description

technical field [0001] The invention relates to a method for calculating the optimal capacity of an energy storage system for load shifting and filling valleys, and belongs to the technical field of power system optimization calculations. Background technique [0002] The rapid development of the national economy makes the demand for electricity continue to grow, and the peak load in the power grid continues to increase. In order to ensure the safe and stable operation of the power system, power grid companies need to increase investment to increase the capacity of power equipment in various links such as generation, transmission, distribution, and use. However, due to the unreasonable structure of electricity consumption, the peak-to-valley difference of the load in the power grid is often very large. The power grid built to meet the peak load, its equipment can not be fully utilized when the power consumption is low, resulting in a low asset utilization rate of the overal...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/28G06F19/00
Inventor 张百华陆超郭海峰袁志昌陈满徐罕晨李永琦杨代铭
Owner SOUTHERN POWER GRID PEAK LOAD & FREQUENCY REGULATION GENERATING CO LTD
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