Energy storage system location and constant volume optimization method

An energy storage system, site selection and capacity technology, applied in the field of integrated energy systems, can solve problems such as difficulty in formulating a site selection and capacity plan for energy storage systems and lack of principled guidance.

Active Publication Date: 2020-03-31
GUIZHOU POWER GRID CO LTD
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Problems solved by technology

[0003] Compared with the DG connection model, the system connection model of the energy storage system is more complicated, and the choice of operation mode is also more diverse. In the stage of research and discussion, lack of principled guidance

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  • Energy storage system location and constant volume optimization method
  • Energy storage system location and constant volume optimization method
  • Energy storage system location and constant volume optimization method

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Experimental program
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Embodiment

[0082] Embodiment: a method for optimizing the location and capacity of an energy storage system, the method includes the following steps:

[0083] (1) For energy storage system i at time T, without considering the actual power flow constraints, its maximum power supply capacity P i d max Expressed as follows:

[0084]

[0085] Among them: E imin Indicates the minimum capacity allowed by the energy storage system,

[0086] ΔT represents the duration that the energy storage system needs to provide the maximum power supply capacity;

[0087] (2) Considering the transfer capability of N-1 is an important index to evaluate the security of distribution network. Compared with the traditional power grid, when an N-1 fault occurs in a smart distribution network compatible with DESS, DESS provides short-term capacity support through DESS, and its fault recovery path options for transfer are more diverse, and the transfer capacity can also be greatly improved. The impact of DES...

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Abstract

The invention discloses an energy storage system location and constant volume optimization method, which comprises the following steps of: for an energy storage system i at a moment T, calculating themaximum power supply capacity on the premise of not considering actual power flow constraints; calculating an influence index of the DESS on the network safety; after the DESS is accessed to the power distribution network, the influence on the network economy is characterized and calculated only by improving the system load characteristics and reducing the line loss; dESS site selection and constant volume conclusion are a multi-objective optimization problem, a multi-objective function is established, and improvement of DESS on network safety and network economy is comprehensively considered; setting constraints. Energy storage system site selection and constant volume optimization are carried out on an existing net rack, so that the comprehensive optimization of the energy storage system on the distribution network supporting effect is realized. By quantitatively analyzing the influence of the energy storage system on the network safety and economy, a multi-objective optimization model for site selection and constant volume of the energy storage system considering the network safety and economy is established.

Description

technical field [0001] The invention relates to an optimization method for site selection and capacity determination of an energy storage system, which belongs to the technical field of comprehensive energy systems. Background technique [0002] After the energy storage system is connected to the power grid, it can not only realize peak load shifting and valley filling of the power grid, reduce line loss and reduce investment in transmission and distribution facilities, but also effectively accommodate the impact of distributed power, especially intermittent power, on the power grid, improving the security and stability of the power grid and demand-side user reliability. The problem of location selection and capacity determination of energy storage system is an important prerequisite for the study of smart grid compatibility, and it is also a key issue in the construction of smart grid. [0003] Compared with the DG connection model, the system connection model of the energ...

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Application Information

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IPC IPC(8): H02J3/28H02J3/00G06N3/12G06Q10/04G06Q50/06
CPCG06N3/126G06Q10/04G06Q50/06H02J3/008H02J3/28Y02E40/70Y04S10/50
Inventor唐学用孙斌李庆生黄玉辉蒋泽甫邓朴高华赵庆明钟以林张裕贺墨琳汪黔疆刘大猛王健
OwnerGUIZHOU POWER GRID CO LTD