Optimized configuration method of distributed power generation considering energy storage and considering photovoltaic randomness

A technology for distributed power generation and optimized configuration, applied in design optimization/simulation, computer components, calculations, etc., can solve problems such as lack of consideration of uncertainty in wind power and photovoltaic output

Active Publication Date: 2019-02-12
SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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Problems solved by technology

At present, the configuration of distributed power generally adopts a simple single-lev...

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  • Optimized configuration method of distributed power generation considering energy storage and considering photovoltaic randomness
  • Optimized configuration method of distributed power generation considering energy storage and considering photovoltaic randomness
  • Optimized configuration method of distributed power generation considering energy storage and considering photovoltaic randomness

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Embodiment Construction

[0079] Below in conjunction with accompanying drawing, by describing a preferred specific embodiment in detail, the present invention is further elaborated.

[0080] A distributed power supply optimization configuration method considering energy storage and photovoltaic randomness is characterized in that it includes the following steps:

[0081] S1, according to the principle and structure of distributed power, mathematical modeling of distributed power output characteristics is carried out, and a double-layer optimal configuration model of distributed power is obtained;

[0082] S2. Based on the historical data of photovoltaic output in the planning area, use a reasonable density estimation method to determine the probability density function of photovoltaic output in the planning area; use the K-means clustering method to generate a typical daily photovoltaic output sequence in the planning area;

[0083] S3, based on the double-layer programming theory, the upper layer aim...

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Abstract

The invention discloses an optimized configuration method of distributed power generation considering energy storage and considering photovoltaic randomness, comprising the following steps: firstly, based on kernel density estimation and K-means clustering method, according to a large number of historical photovoltaic output data, building a typical day scene generation method of distributed poweroutput; Furthermore, based on the theory of bilevel programming, a bilevel programming model of distributed generation is established, which combines the planning with the operation from the perspective of comprehensive social benefits and power company benefits, respectively, on the basis of the goal of the lowest annual total cost in the upper layer. Finally, the stochastic scenario generationis combined with the distributed generation bilevel programming model, and the optimal configuration scheme of distributed generation that meets the load demand is obtained by intelligent optimizationalgorithm. The bilevel programming model proposed by the invention can provide an optimal configuration scheme of distributed power generation including configuration node and capacity from differentbenefit parties, thereby effectively reducing the total annualized cost of the system.

Description

technical field [0001] The present invention particularly relates to a distributed power supply optimization configuration method that considers energy storage and photovoltaic randomness. Background technique [0002] With the development of the economy and the advancement of power generation technology, distributed generation (DG) has begun to be connected to the distribution network on a large scale. Under the background of advocating energy conservation and emission reduction in my country, since distributed generation (DG) is mostly environmentally friendly energy, more and more research and investment have begun to be invested in the development of DG power generation technology. According to the "Emerging Energy Industry Development Plan" issued by the National Energy Administration of my country, by 2020, the installed capacity of wind power in my country will exceed 150 million kW, the installed capacity of photovoltaic power generation will exceed 20 GW, and the in...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06F17/50G06K9/62G06N3/00
CPCG06N3/006G06Q10/04G06Q50/06G06F30/20G06F18/23213Y04S10/50Y02E40/70
Inventor 王月强张文博李卫彬张佳杰仇张权孙列徐旭东姚远周睿朱铮周琤张菲菲
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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