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Distribution network economic optimal dispatching method based on improved dynamic kriging model

A Krishkin, economic optimization technology, applied in the field of economic optimization scheduling of distribution network based on improved dynamic Krishkin model, can solve problems such as linking the investment cost of the operating system that cannot be optimized.

Active Publication Date: 2018-12-28
无锡享源信息科技有限公司
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Problems solved by technology

[0004] At present, experts and scholars at home and abroad have carried out some exploratory work on the optimal operation of wind power-photovoltaic power generation and pumped storage. The optimal solution of the dispatching model and the optimal allocation of the capacity of each unit in the system have been dealt with, but none of them can directly link the optimal operation with the system investment cost

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  • Distribution network economic optimal dispatching method based on improved dynamic kriging model
  • Distribution network economic optimal dispatching method based on improved dynamic kriging model
  • Distribution network economic optimal dispatching method based on improved dynamic kriging model

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Embodiment Construction

[0135] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0136] The method of the present invention is an economic optimization scheduling method of a distribution network based on an improved dynamic Christian model, and the method is proposed under the condition that a large-scale distributed power source is connected to an active distribution network.

[0137] combine figure 1 , figure 2 and image 3 , the concrete steps of the method of the present invention are as follows:

[0138] 1. Define the operating state of the pumped storage unit and establish the state model of the pumped storage unit;

[0139] The pumped storage unit is combined with the wind turbine and photovoltaic cell generator to form a new combined unit, which can give full play to the advantages of the pumped storage unit and effectively smooth the output of the wind turbine and photovoltaic cell generator. The method of the...

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Abstract

The invention discloses a distribution network economic optimal dispatching method based on an improved dynamic kriging model, which comprises the following contents: modeling the state of a pumped storage unit; modeling wind turbine output and user load; modeling photovoltaic generator set; putting forward relevant constraint conditions of joint output constraint of a scenery-water combined system and modeling the scenery-water combined system; modeling the economic optimization operation of the distribution network by using the constraint conditions described in step 4; randomly selecting sample points by Monte Carlo simulation and obtaining the corresponding system variables to construct an initial sample database; constructing a gradient-enhanced dynamic Kriging model and obtaining anew sample library by adding gradient information; based on the new sample library, using the BCC optimization algorithm to solve the distribution network economic optimization model. The invention reduces the influence of the power fluctuation brought by the wind-solar new energy and smoothes the wind power and the photovoltaic power generation, improves the power generation stability of the wind-solar new energy, increases the consumption amount of the wind-solar new energy and reduces the investment and operation cost of the distribution network system.

Description

technical field [0001] The invention relates to the field of new energy power generation operation, in particular to an economic optimization dispatching method of a distribution network based on an improved dynamic Christian model. Background technique [0002] As a kind of renewable green energy, wind energy and solar energy have been widely valued by people. With the rapid development of wind power generation technology and solar photovoltaic power generation technology, the development of new energy has formed an irresistible trend. In view of wind power generation and solar photovoltaic power generation Power generation has the characteristics of being unpredictable, random and unstable, which makes wind power and photovoltaic power generation unable to be effectively utilized. Not only does it lead to a large amount of wind energy becoming abandoned wind, but it also greatly reduces the consumption of wind power and costs high prices to purchase new energy power genera...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/46H02J3/28H02J3/24H02J15/00G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q50/06H02J3/383H02J3/386H02J3/24H02J3/28H02J3/46H02J15/003H02J2203/20Y02E10/56Y02E10/76Y02E70/30
Inventor 马丽叶王志强谷林万福瑞
Owner 无锡享源信息科技有限公司
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