Power grid side energy storage system capacity configuration method based on improved simulated annealing algorithm

A simulated annealing algorithm and energy storage system technology, applied in the field of grid-side energy storage system capacity allocation based on the improved simulated annealing algorithm, can solve problems such as line blockage, severe wind curtailment, and clean energy output volatility

Pending Publication Date: 2020-09-08
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0002] In recent years, renewable energy has developed rapidly, but clean energy output dominated by wind power and photovoltaics has the characteristics of volatility, intermittent, randomness, etc.; coupled with rapid economic development, the power loa...

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  • Power grid side energy storage system capacity configuration method based on improved simulated annealing algorithm
  • Power grid side energy storage system capacity configuration method based on improved simulated annealing algorithm
  • Power grid side energy storage system capacity configuration method based on improved simulated annealing algorithm

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Embodiment

[0056] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0057] The present invention solves its technical problem and realizes by taking the following technical solutions:

[0058] A grid-side energy storage system capacity configuration method based on the improved simulated annealing algorithm, taking a typical example of IEEE24 nodes as an example to conduct experiments on the site selection configuration of the energy storage system on the grid side, as shown in figure 2 Shown:

[0059] There are 24 nodes and 34 lines in the calculation example. Nodes 6 and 17 are wind power access nodes, nodes 1, 2, 7, 15, 16, 18, 21, and 22 are thermal power unit nodes, only nodes 11, 12, 17, 21, 22, 23, and 24 have no load, and the rest The nodes are connected to the load. The base capacity is 100MVA, the load power demand per unit value is 28.5+j5.8, and the load active power is as follows image 3 As s...

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Abstract

The invention belongs to the technical field of power grid planning, and particularly relates to a power grid side energy storage system capacity configuration method based on an improved simulated annealing algorithm. The method comprises the following steps: measuring an income y1 of delaying upgrading and reconstruction of a power transmission network by an energy storage system; measuring an increase wind power consumption income y2; measuring an environment cost y3 reduced by peak regulation of the energy storage system; measuring the annual cost yin of the whole life cycle of the energystorage system; and determining an optimal result max f = y1 + y2 + y3-yin of site selection configuration of the power grid side energy storage system according to the following objective function. According to the power grid side energy storage system capacity configuration method based on an improved simulated annealing algorithm, the possibility of falling into local optimum is reduced and theconvergence rate is increased. The method is reasonable in design, combines the advantages of a longhorn beard algorithm and a simulated annealing algorithm, a problem of energy storage system planning in a power grid is solved, and the operation economy of the energy storage system is improved.

Description

Technical field: [0001] The invention belongs to the technical field of grid planning, and in particular relates to a method for configuring the capacity of a grid-side energy storage system based on an improved simulated annealing algorithm. Background technique: [0002] In recent years, renewable energy has developed rapidly, but clean energy output dominated by wind power and photovoltaics has the characteristics of volatility, intermittent, randomness, etc.; coupled with rapid economic development, the power load has increased sharply, and the load and wind power output have formed The characteristics of anti-peak regulation, these two characteristics cause many hidden dangers in the power grid, such as severe wind curtailment, line congestion, voltage fluctuations, etc. The large-scale energy storage system technology can quickly handle electric energy in two directions, so a reasonable configuration of the energy storage system can improve the safe and economical oper...

Claims

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Application Information

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IPC IPC(8): H02J3/28H02J3/46H02J3/48
CPCH02J3/28H02J3/46H02J3/48H02J2203/20Y02E10/76
Inventor 周喜超王楠赵鹏翔李振丛琳王冰李建林
Owner STATE GRID CORP OF CHINA
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