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

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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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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