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

Abstract

The invention discloses a distributed power supply optimization configuration method considering energy storage and photovoltaic randomness, including the following steps: first, based on kernel density estimation and K-means clustering method, according to a large amount of historical data of photovoltaic output, construct A method for generating typical daily scenarios of distributed power output; further, based on the bi-level programming theory, on the basis of the upper layer aiming at the lowest annualized total cost, the lower layer starts from the perspectives of comprehensive social benefits and power company revenues respectively, and establishes a general Plan and run the camera and the distributed power double-layer programming model; finally, combine the random scene generation with the distributed power double-layer programming model, and calculate the distributed power optimal configuration scheme that meets the load demand through the intelligent optimization algorithm. The two-level programming model proposed by the present invention can start from different stakeholders and provide an optimal configuration scheme of distributed power supply including configuration nodes and capacity, effectively reducing the annualized total 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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Problems solved by technology

At present, the configuration of distributed power generally adopts a simple single-level planning model, and the uncertainty of wind power and photovoltaic output is not considered

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