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Economic Optimal Dispatch Method of Distribution Network Based on Improved Dynamic Kriskin 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 the problem of linking the investment cost of the system that cannot be optimized operation, and achieve economic optimization with simple operation, The effect of increasing consumption and increasing the stability of power generation

Active Publication Date: 2021-07-20
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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  • Economic Optimal Dispatch Method of Distribution Network Based on Improved Dynamic Kriskin Model
  • Economic Optimal Dispatch Method of Distribution Network Based on Improved Dynamic Kriskin Model
  • Economic Optimal Dispatch Method of Distribution Network Based on Improved Dynamic Kriskin Model

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Embodiment Construction

[0134] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments:

[0135] The method of the present invention is an economical optimal dispatching method for distribution network based on an improved dynamic Krishkin model, which is proposed under the condition that large-scale distributed power sources are connected to an active distribution network.

[0136] combine figure 1 , figure 2 and image 3 , the concrete steps of the method of the present invention are as follows:

[0137] 1. Define the operating state of the pumped-storage unit and establish the state model of the pumped-storage unit;

[0138] 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 the photovoltaic cell generator. The method of t...

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Abstract

The invention discloses a distribution network economic optimization dispatching method based on the improved dynamic Kriskin model, which includes: modeling the state of the pumped storage unit; modeling the output of the wind power unit and the load of the user; Modeling; put forward the relevant constraint conditions of the joint output constraints of the wind-solar-water combined system, and model the wind-solar-water combined system; use the constraints described in step 4 to model the economic optimization operation of the distribution network; use Montecatello simulation to randomly select samples points, obtain the corresponding system variables, and build an initial sample library; build a gradient-enhanced dynamic Kriging model, add gradient information to screen to obtain a new sample library; use the BCC optimization algorithm to solve the distribution network economic optimization model on the basis of the new sample library . The invention takes into account the reduction of the influence of power fluctuations caused by grid-connected wind and solar new energy and smooth wind power and photovoltaic power generation, improves the power generation stability of wind and solar new energy, increases its consumption 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 economical optimal scheduling method for a distribution network based on an improved dynamic Krishkin 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. Power generation has the characteristics of inaccurate prediction, randomness and instability, which lead to the ineffective utilization of wind and photovoltaic power generation. It not only causes a large amount of wind energy to become abandoned wind, but also greatly reduces the consumption of wind power and spends high prices on new energy power generation equipment to make ends meet. Moreover, the access of large-scale wind power and photo...

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Application Information

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Patent Type & Authority Patents(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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