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Business park source-storage-load optimized configuration method

A technology for optimizing configuration and parks, applied in energy storage, circuit devices, renewable energy integration, etc., can solve problems such as poor load economy, high cost, and limited energy storage capacity

Active Publication Date: 2016-10-12
CHINA ELECTRIC POWER RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, the cost of energy storage equipment is high and the energy storage capacity is limited. It is not economical to simply use an energy storage system to load peak loads and fill valleys.

Method used

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  • Business park source-storage-load optimized configuration method
  • Business park source-storage-load optimized configuration method
  • Business park source-storage-load optimized configuration method

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Embodiment Construction

[0070] In order to better understand the present invention, the content of the present invention will be further described below in conjunction with the accompanying drawings and examples.

[0071] Such as figure 1 As shown, a business park source-storage-load optimization configuration method includes the following steps:

[0072] 101. Business park load classification:

[0073] The business park load is divided into regular load and controllable load according to whether it is controllable. Regular loads refer to loads with relatively regular and stable load curves within a year, such as lighting; controllable loads refer to loads with seasonal patterns within a year, such as air-conditioning loads, and air-conditioning loads can participate in demand-side response through optimization and regulation. The air-conditioning load is divided into cooling load and heating load. The cooling load refers to the cooling load of the air conditioner in summer, and the heat load refer...

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Abstract

The invention relates to a business park source-storage-load optimized configuration method comprising the steps as follows: (1) building a controllable air conditioning cold / heat load optimized regulation model; (2) getting a business park photovoltaic power generation system output curve; (3) determining an energy storage system charge and discharge strategy; (4) building a business park source-storage-load optimized configuration model; and (5) calculating the desired charge and discharge power values of an energy storage battery at each moment of time. According to the invention, an air conditioning load is used as virtual energy storage based on the controllability thereof in order to reduce the capacity of a required energy storage system, and the minimum cost for users to purchase electricity from a large grid is taken as an objective function to realize timely consumption of photovoltaic energy to the maximum, so the investment cost on energy storage is reduced, and the electricity charge is saved for users. The method is of high economic feasibility.

Description

technical field [0001] The invention relates to an optimal allocation method, in particular to a source-storage-load optimal allocation method of a business park. Background technique [0002] The large-scale battery energy storage system can realize the function of load shaving and valley filling by discharging during peak load and charging during low load. For the power grid, peak shaving and valley filling can delay equipment capacity upgrades, improve equipment utilization, and save equipment update costs; for users, they can use peak shaving and valley filling to obtain economic benefits. [0003] The current optimization of peak shaving and valley filling is to optimize the 24-hour optimal charge and discharge strategy according to the predicted daily load curve before the start of a new day, that is, whether the battery is charged and discharged at each moment, and the power of charge and discharge. In real-time control, according to the charging and discharging stra...

Claims

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Application Information

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IPC IPC(8): H02J3/32H02J3/38
CPCH02J3/383H02J3/32H02J2203/20Y02E70/30Y02B10/10Y02E10/56
Inventor 李建林张婳修晓青李蓓惠东唐跃中
Owner CHINA ELECTRIC POWER RES INST
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