Energy storage site selection constant volume multi-objective optimization method considering reduction of peak-valley difference

A technology of multi-objective optimization and site selection and capacity determination, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as unbalanced power consumption and power supply, unsatisfactory operating costs, etc.

Active Publication Date: 2019-08-16
HANGZHOU DIANZI UNIV
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Problems solved by technology

The existing grid planning methods at home and abroad that consider the site selection and fixed capacity of energy storage systems, on the one hand, do not consider reducing the peak-to-valley difference to b...

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  • Energy storage site selection constant volume multi-objective optimization method considering reduction of peak-valley difference
  • Energy storage site selection constant volume multi-objective optimization method considering reduction of peak-valley difference
  • Energy storage site selection constant volume multi-objective optimization method considering reduction of peak-valley difference

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Embodiment Construction

[0058] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific implementation methods.

[0059] Such as figure 1 A multi-objective method for location selection and capacity determination of energy storage considering reducing the peak-to-valley difference is shown, which includes the following steps:

[0060] 1) Obtain renewable energy (wind power / photovoltaic / hydropower, etc.) output data, generator output data and load data from a regional statistical bureau;

[0061] 2) Based on the data obtained in step 1), establish a multi-objective optimal model for energy storage location and fixed capacity considering the reduction of peak-to-valley difference. The model takes the location of the energy storage power station, the energy storage capacity and the SOC of the energy storage power station as optimization variables , with the goal of reducing the peak-to-v...

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Abstract

The invention discloses an energy storage site selection constant volume multi-objective optimization method considering reduction of peak-valley difference. According to the method, historical data are analyzed to establish a distributed energy storage site selection constant-volume optimal model considering renewable energy output, the position and capacity of an energy storage power station andthe SOC at each moment are taken as optimization variables, the aims of reducing the energy storage operation cost and reducing the peak-valley difference are taken as targets, and equipment model constraint and system operation constraint are considered; feasible positions of a plurality of energy storage power stations are determined by adopting a branch defining method; the capacity and the state of charge of the energy storage power station at each feasible position are set and initialized, the capacity and the state of charge are input into the model, and solving is carried out by adopting a particle swarm algorithm to obtain optimal data. The method can effectively solve the problem of optimal energy storage site selection and constant volume, reduces the peak-valley difference, andreduces the energy storage operation cost.

Description

technical field [0001] The invention belongs to the field of power system planning, and specifically relates to a multi-objective method for energy storage site selection and capacity determination in consideration of reducing the peak-to-valley difference. Background technique [0002] With the gradual transformation and upgrading of my country's economic structure, user demand for electricity has been increasing year by year, resulting in fluctuations in the load curve, forming a peak-valley phenomenon, that is, causing a large peak-valley difference. The construction of energy storage power stations can help the power grid achieve the balance of peak and valley power consumption, reduce the peak-valley load difference, and supplement the peak gap of the power grid. [0003] Due to the high cost of energy storage systems, how to reasonably arrange energy storage site selection and capacity planning can not only effectively reduce energy storage costs and solve the problem ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06F17/50
CPCG06Q10/04G06Q50/06G06F30/20
Inventor 丁倩曾平良
Owner HANGZHOU DIANZI UNIV
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