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Distributed photovoltaic two-stage multi-target local consumption method based on energy storage scheduling mode

A distributed photovoltaic and energy storage scheduling technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve the problems that cannot take into account the operating benefits of distributed photovoltaic distribution networks, the optimal solution is not unique, etc., to achieve optimal photovoltaic The effect of absorption rate

Active Publication Date: 2017-01-04
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +2
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when the penetration rate of distributed photovoltaics is low, the optimal solution obtained by the traditional consumption model that only aims at the highest photovoltaic consumption rate is usually not unique, and it cannot take into account distributed photovoltaic power distribution. Network Operational Benefits

Method used

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  • Distributed photovoltaic two-stage multi-target local consumption method based on energy storage scheduling mode
  • Distributed photovoltaic two-stage multi-target local consumption method based on energy storage scheduling mode
  • Distributed photovoltaic two-stage multi-target local consumption method based on energy storage scheduling mode

Examples

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example 1

[0068] Example 1: The case where the proportion of photovoltaics is low. The total capacity of the distributed photovoltaic cluster is 250MW, and the penetration rate is 20%. The reserve capacity takes 10% of the load and 20% of the photovoltaic plan, and does not consider issues such as unit maintenance and sudden errors. The photovoltaic forecast curve PV and load forecast curve PL in the system are as follows: figure 2 shown

[0069] The energy storage scheduling mode of the present invention is used to solve the problem, and the results can be obtained. In this calculation example, 100% photovoltaic consumption can be achieved, so the optimization goal in the solution method is automatically adjusted to the comprehensive economy, that is, the secondary goal. In the case of not using energy storage, the comprehensive cost of the full dispatch cycle is 106858.7 yuan, and the photovoltaic on-site consumption rate is 100%. Acceptance rate 100%. In this case, the priority ...

example 2

[0071] Example 2: Same calculation as Example 1, only change the total installed capacity of photovoltaics in proportion to increase it to 875MW, and the penetration rate at this time is 70%. This data means that there is an obvious substitution effect for other power generation units at the peak of photovoltaic output . The photovoltaic forecast curve PV and load forecast curve PL in the system under high permeability are as follows: Figure 4 shown.

[0072] In the case of not using energy storage, the photovoltaic consumption rate is 98.17%, and the comprehensive cost is 65177.83 yuan; in the case of using energy storage, the photovoltaic consumption rate is increased to 100%, and the comprehensive cost is 63831.52 yuan. It can be seen that the reasonable scheduling of energy storage has improved the on-site consumption rate of photovoltaics, and fully utilized the parts that were originally difficult to absorb. The photovoltaic consumption rate has increased by 1.83%, rea...

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Abstract

The invention discloses a distributed photovoltaic two-stage multi-target local consumption method based on an energy storage scheduling mode, and the method comprises the steps: taking an energy storage scheduling strategy as a main control variable, cooperating with unit output, taking the maximization of distributed photovoltaic consumption rate as the priority target, taking the minimization of system operation cost as the secondary target, and taking the necessary constraints into consideration for modeling, such as energy storage operation constraint conditions and so on; solving an optimization problem formed by a priority target function and constraint conditions: taking an optimal solution as the solved distributed photovoltaic local consumption scheme if there is only one optimal solution, or else, taking all local consumption schemes as an optimizing range during the optimal solutions if there are many optimal solutions, building an optimization model which consists of the secondary target function and the constraint conditions, and solving and obtaining a needed photovoltaic cluster local consumption scheme. The method can give better consideration to a target that the system operation cost is the minimum while optimizing the photovoltaic consumption rate.

Description

technical field [0001] The invention relates to an economical operation and scheduling simulation method of a power system. In particular, it involves a distributed photovoltaic two-stage multi-objective local consumption method based on the energy storage dispatch mode. Background technique [0002] In March 2015, the "Notice of the National Energy Administration on Issuing the Implementation Plan for Photovoltaic Power Generation Construction in 2015" was issued, requiring the construction scale of new photovoltaic power plants to reach 17.8GW throughout the year, and giving priority to the construction of access distribution networks below 35kV and below 20MW distributed photovoltaic power station project. According to the distribution characteristics of China's wind energy resources, the future development of China's wind power will show a large-scale and highly concentrated development trend. With the increase of the access capacity of distributed photovoltaic power g...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 李鹏华浩瑞韩鹏飞徐绍军孙健王存平常乾坤
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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