Off-grid microgrid energy storage optimization configuration method considering demand responses

A technology of demand response and optimized configuration, applied in circuit devices, AC network circuits, photovoltaic power generation, etc., can solve problems such as low economic benefits, achieve the effects of reducing investment costs, reducing capacity, and ensuring power supply reliability

Active Publication Date: 2018-08-21
国网湖北省电力有限公司荆州供电公司 +1
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Problems solved by technology

However, since the off-grid microgrid does not exchange power with the outside world, the economic

Method used

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  • Off-grid microgrid energy storage optimization configuration method considering demand responses
  • Off-grid microgrid energy storage optimization configuration method considering demand responses
  • Off-grid microgrid energy storage optimization configuration method considering demand responses

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Embodiment Construction

[0022] Below the present invention is further described as follows:

[0023] An off-grid microgrid energy storage optimization configuration method considering demand response, which includes the following steps:

[0024] Step 1. The microgrid control center estimates the parameters of the probability density function model of output according to the data of wind speed, light intensity, temperature, etc. in the area, combined with the historical output power of wind and light distributed power sources, and obtains the probability density model.

[0025] In the first step, for the off-grid microgrid, it includes wind, solar wind distributed power supply, micro gas turbine, energy storage device and electric load, and its structure is as follows figure 2 As shown, the two-parameter Weibull distribution is used to fit the probability density of wind speed to further obtain the output probability density of wind distributed power generation, and the two-parameter Beta distributio...

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Abstract

The invention discloses an off-grid microgrid energy storage optimization configuration method considering demand responses. The demand responses in an off-grid microgrid are divided into an excitation type demand response and a price type demand response, and the output uncertainty of a renewable distributed power supply is taken into account to establish a chance constraint-based microgrid energy storage capacity optimization configuration model. The method comprises three steps that 1, a probability density model of the output of wind and light renewable distributed power supplies is estimated according to the environmental and distributed power supply output historical data information; 2, internal controllable loads of the microgrid are divided into the price demand response and the excitation demand response to conduct active control on the loads; 3, the uncertainties of the renewable distributed power supply and the demand responses are described by means of chance constraint inthe form of probability, an optimization-based scheduling model is established taking the maximization of the reliability of microgrid power supplying and user satisfaction and the minimization of energy storage configuration capacity as targets, and solving is conducted by adopting a Monte Carlo-based genetic algorithm.

Description

technical field [0001] The invention belongs to the field of smart grids, in particular to an off-grid microgrid energy storage optimization configuration method considering demand response. Background technique [0002] Microgrids can be divided into grid-connected microgrids and off-grid microgrids. The off-grid microgrid is not connected to the large power grid, and uses the distributed power supply and energy storage device inside the microgrid to meet its own load demand. This type of microgrid is suitable for supplying power to islands, remote areas and important loads. [0003] Load demand response refers to the behavior of power users to change the original power consumption pattern in response to market price signals or incentive mechanisms. Price-based demand response guides users to reasonably adjust their electricity consumption patterns through price signals; incentive-based demand response directly controls loads by signing load interruption contracts with use...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02J3/32
CPCH02J3/382H02J3/383H02J3/386H02J3/32H02J3/003H02J2203/20Y02E10/56Y02E10/76
Inventor 黄畅樊友权黄健孙琴陈芳李凯吴克勤陈卓
Owner 国网湖北省电力有限公司荆州供电公司
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