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Fuzzy C-mean clustering-based water-wind-solar power supply capacity configuration method in microgrid

A mean value clustering and fuzzy clustering technology, applied in the direction of circuit devices, electrical components, AC network circuits, etc., can solve the problems of the applicability, practicability and applicability of calculation methods that are difficult to satisfy

Active Publication Date: 2020-01-17
GUANGDONG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

It can be seen that the existing technologies for calculating the power generation, generation capacity and installed capacity of the microgrid distributed power system do not fully consider the uncertainty and randomness of the influencing factors, and the applicability, practicability and applicability of the calculation methods are also difficult to satisfy.

Method used

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  • Fuzzy C-mean clustering-based water-wind-solar power supply capacity configuration method in microgrid
  • Fuzzy C-mean clustering-based water-wind-solar power supply capacity configuration method in microgrid
  • Fuzzy C-mean clustering-based water-wind-solar power supply capacity configuration method in microgrid

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Embodiment Construction

[0077] The present invention will be further described below in conjunction with specific embodiment:

[0078] Such as figure 1 As shown, the fuzzy C-means clustering-based method for configuring the capacity of water, wind and wind power sources in microgrids described in this embodiment includes the following steps:

[0079] S1. Build the data matrix:

[0080] From the multi-year historical and real-time data set, obtain the multi-year daily runoff and inflow data of the hydropower station in the microgrid, obtain the multi-year daily wind speed and wind direction data of the wind farm, and obtain the multi-year daily sunshine intensity and sunshine angle data of the photovoltaic power station. Through processing, Calculate and analyze, build data matrix:

[0081]

[0082] where x i1 、x i2 、x i3 They are daily inflow flow, wind speed, and sunshine intensity, and their units are: cubic meter per second, meter per second; the number of data samples N=10*365, the number...

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Abstract

The invention discloses a fuzzy C-mean clustering-based water-wind-solar power supply capacity configuration method in a microgrid. The method comprises the steps of calculating the power supply capacity configuration in the water-wind-solar microgrid, and at the same time, reflecting the randomness of the storage flow, wind speed and sunlight intensity changes for many years, so that the theoretical guidance is provided for the power supply capacity configuration, power generation output prediction and operation scheduling of the water-wind-solar microgrid, and the necessary technical supportis provided for the distributed new energy power generation and the intelligent power grid scheduling operation.

Description

technical field [0001] The invention relates to the technical field of electric power system and its automation, in particular to a method for configuring the capacity of water, wind and wind power sources in microgrids based on fuzzy C-means clustering. Background technique [0002] A microgrid is a grid form that integrates distributed sources (small hydropower, small wind power, photovoltaic power generation)-loads (water, electricity, gas, cooling, and heat loads) in a certain way. The microgrid is connected to the main grid at voltage levels such as 380V, 10kV, and 35kV. Under normal operating conditions, it operates in parallel with the main grid. Under heavy load, the microgrid absorbs power from the main grid, and may inject power into the main grid under light load. Power: In the case of a partial fault in the main grid or in the case of a fault in an adjacent micro-grid, it can operate in an isolated grid. Under the premise of ensuring power quality, the internal d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/38H02J3/46
CPCH02J3/00H02J3/46Y02E10/76
Inventor 吴杰康
Owner GUANGDONG UNIV OF TECH
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