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Optical storage capacity optimization method and system based on sensitivity analysis

A sensitivity analysis and capacity optimization technology, applied in the field of optical storage capacity optimization based on sensitivity analysis, to achieve the effect of optimizing access capacity, promoting reasonable and healthy development, and improving the level of planning management and operation stability of distribution network

Pending Publication Date: 2020-07-24
ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (3) No power control
However, if the bus voltage increases to V 2 or higher, the inverter can absorb reactive power

Method used

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  • Optical storage capacity optimization method and system based on sensitivity analysis
  • Optical storage capacity optimization method and system based on sensitivity analysis
  • Optical storage capacity optimization method and system based on sensitivity analysis

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] The invention provides a method for optimizing optical storage capacity based on sensitivity analysis, which includes:

[0061] Step 1), obtaining power flow calculation data of distribution network;

[0062] Step 2), obtaining the constraints and parameters of the objective function;

[0063] The stated objective function is:

[0064]

[0065] in:

[0066]

[0067]

[0068]

[0069]

[0070] The stated constraints are:

[0071] V min ≤V i ≤V max (i=1,...,B) (11)

[0072] P DG,i,min ≤P DG,i ≤P DG,i,max (i=1,...,D) (12)

[0073] P ST,i,min ≤P ST,i ≤P ST,i,max (i=1,...,S) (13)

[0074] Q DG,i,min ≤Q DG,i ≤Q DG,i,max (i=1,...,D) (14)

[0075] Q ST,i,min ≤Q ST,i ≤Q ST,i,max (i=1,...,S) (15)

[0076] PF min ≤PF DG,i (i=1,...,D) (16)

[0077] Among them: Cost V,i Represents the cost function of node i voltage change; C DG Indicates the cost coefficient of distributed photovoltaic; Indicates the rated capacity of the i-th distributed...

Embodiment 2

[0091] This embodiment provides a system for optimizing optical storage capacity based on sensitivity analysis, which includes a data acquisition unit, a constraint condition and parameter acquisition unit, and a distribution network power flow calculation unit.

[0092] The data acquisition unit is used to acquire power flow calculation data of the distribution network;

[0093] A constraint condition and parameter acquisition unit, used to acquire constraint conditions and parameters of the objective function;

[0094] The stated objective function is:

[0095]

[0096] in:

[0097]

[0098]

[0099]

[0100]

[0101] The stated constraints are:

[0102] V min ≤V i ≤V max (i=1,...,B) (11)

[0103] P DG,i,min ≤P DG,i ≤P DG,i,max (i=1,...,D) (12)

[0104] P ST,i,min ≤P ST,i ≤P ST,i,max (i=1,...,S) (13)

[0105] Q DG,i,min ≤Q DG,i ≤Q DG,i,max (i=1,...,D) (14)

[0106] Q ST,i,min ≤Q ST,i ≤Q ST,i,max (i=1,...,S) (15)

[0107] PF min ≤PF DG,i (...

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Abstract

The invention discloses an optical storage capacity optimization method and system based on sensitivity analysis. The method comprises the following steps: step 1), obtaining power flow calculation data of a power distribution network; step 2), acquiring constraint conditions and parameters of a target function; and step 3), calculating a power flow of the power distribution network containing thedistributed photovoltaic through a sensitivity analysis algorithm. The method and the system are mainly used for optimizing an access capacity of the distributed photovoltaic and energy storage system in the power distribution network, and play an important role in planning, maintaining or upgrading the power distribution network.

Description

technical field [0001] The invention relates to the field of distributed photovoltaics, in particular to a method and system for optimizing the photovoltaic storage capacity based on sensitivity analysis. Background technique [0002] As weather-dependent distributed renewable energy sources, such as photovoltaic systems and wind farms, are increasingly connected to the distribution grid, energy storage systems that can compensate for the intermittency of distributed renewable energy generation are required. [0003] However, few existing studies optimize the capacity of renewable energy and energy storage systems, and the added renewable energy does not have reactive power control capabilities. [0004] The problem of optimizing the capacity of distributed photovoltaic and storage systems with reactive power control capabilities should consider the following factors: [0005] (1) Actual distribution network and changing demands. A distribution network may have relatively ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/28H02J3/38H02J3/46H02J3/00
CPCH02J3/28H02J3/46H02J3/008Y02E10/56Y02E70/30
Inventor 楼伯良马骏超宣晓华黄晓明肖修林黄弘扬陆承宇彭琰杨涛陈峰周丹
Owner ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY