Considering the correlation between source and load, including electric vehicles, a method for site selection and capacity determination of distributed power generation

Abstract

The invention discloses a method for site selection and capacity determination of distributed power sources including electric vehicles in consideration of source-load correlation. In this method, the charging load of electric vehicles is used as a random load to participate in distribution network planning, and wind power distributed power sources are also taken into account. , The correlation between the output uncertainty of photovoltaic distributed power generation and the uncertainty of distribution network demand load. The invention combines Latin hypercube sampling with Cholesky decomposition and Nataf transformation to obtain correlated wind speed, light intensity and demand load samples; obtains random electric vehicle charging load based on Monte Carlo simulation, and considers uncertain factors Combine wind power, photovoltaic output and load demand, and obtain typical operating scenarios through the scenario clustering method; use the opportunity constraint programming method to establish a planning model, solve it with the improved particle swarm algorithm, and obtain a more optimal location and capacity of distributed power generation Proposal.

Description

technical field [0001] The invention relates to the field of urban distribution network planning, in particular to a method for site selection and capacity determination of distributed power sources including electric vehicles, taking into account source-load correlation. Background technique [0002] With the rapid development of new energy technologies and the promotion of energy conservation and emission reduction policies, distributed generation (DistributionGeneration, DG) has been integrated into the grid on a large scale, realizing the optimization of energy structure and the local consumption of renewable energy. However, the distributed power output has the characteristics of uncertainty and intermittency, and at the same time, a high proportion of flexible loads such as electric vehicles are connected to the load side, which makes the distribution network change from the traditional passive network of one-way power transmission to a composite containing network. Th...

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Problems solved by technology

Although most studies consider the uncertainty of DG output, most of them consider the output of a single distributed power unit, and do not comprehensively consider the correlation between uncertainties such as wind power, photovoltaics, and loads; at the same time, electric vehicles as a high-speed The emerging industries that are developing will gradually occupy a higher proportion of the urban demand load. If the electric vehicle charging load is not considered as a random load connected to the distribution network, it will affect the location and capacity of the distribution network. Effectiveness of planning models

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