CN-122000924-A - Method for configuring energy storage resources of receiving-end urban power grid based on voltage-frequency support intensity quantitative evaluation

Abstract

The invention relates to a method for configuring energy storage resources of a receiving-end urban power grid based on voltage-frequency support intensity quantitative evaluation, which comprises the steps of obtaining data of the receiving-end urban power grid, obtaining voltage and frequency support indexes by calculating voltage-frequency multidimensional indexes, mapping each energy storage unit into marginal contribution to the voltage and frequency support indexes, summarizing contributions of all the energy storage units at corresponding nodes to obtain a net marginal contribution matrix of each energy storage unit to the voltage and frequency support indexes in a given scene, obtaining minimum capacities of energy storage machines required in different representative scenes by sensitivity analysis and scene clustering, calculating comprehensive contribution scores of the energy storage units, sequencing, generating a priority configuration list, and outputting minimum capacities and construction positions of the energy storage machines meeting constraints in the corresponding scenes. Compared with the prior art, the method and the device can realize unified evaluation of the multi-type energy storage supporting capability and accurate matching of the system requirements, and output a landable energy storage resource allocation scheme.

Inventors

• ZHANG HUI
• FEI DANXIONG
• CAI JIANFENG
• HE XINQIN
• CHEN ZEYUAN
• ZHANG XINRAN
• FAN WENWEN
• ZHANG YANSHI
• JIANG HAOMIN

Assignees

• 国网上海市电力公司

Dates

Publication Date

20260508

Application Date

20251208

Claims (10)

1. 1. The method for configuring the energy storage resources of the urban power network at the receiving end based on the quantitative evaluation of the voltage-frequency support intensity is characterized by comprising the following steps: s1, acquiring receiving-end urban power grid data, wherein the receiving-end urban power grid data comprises basic data, measurement data, operation data, energy storage equipment data and operation auxiliary data; s2, obtaining a voltage support index and a frequency support index by calculating a voltage-frequency multidimensional index based on the data of the urban power network at the receiving end; S3, mapping each energy storage unit into marginal contribution to the voltage support index and the frequency support index, and summarizing the contributions of all the energy storage units at corresponding nodes to obtain a net marginal contribution matrix of each energy storage unit to the voltage support index and the frequency support index under a given scene; s4, performing sensitivity analysis and scene clustering by using the net marginal contribution matrix to obtain the minimum capacity of the energy storage machine required under different representative scenes; and S5, calculating the comprehensive contribution score of each energy storage unit, sequencing, generating a priority configuration list, and outputting the minimum capacity and the construction position of the energy storage machine meeting the constraint under the corresponding scene.
2. 2. The method for configuring energy storage resources of a receiving-end urban power grid based on quantitative evaluation of voltage-frequency support according to claim 1, wherein the basic data in the step S1 includes a receiving-end power grid topology, parameters of a static synchronous machine, short-circuit capacity and parameters of a transformer; the measurement data includes SCADA data and PMU data; The operation data comprises a history and predicted power sequence of new energy, external electric input and load; the energy storage device data includes a power rating of each energy storage device Rated energy Maximum/minimum active/reactive output, reaction time constant Control mode, grid-connected point position information; the operation assistance data includes a market tag and an operation scene tag.
3. 3. The method for configuring energy storage resources of the receiving-end urban power grid based on the quantitative evaluation of the voltage-frequency support according to claim 1, wherein the step S2 comprises the following steps: S21, preprocessing the acquired receiving end power grid data, and then respectively calculating multidimensional indexes under a voltage supporting dimension and a frequency supporting dimension according to a voltage-frequency multidimensional index system; S22, carrying out normalization processing on the calculated multidimensional index, and obtaining a corresponding voltage support index and a corresponding frequency support index through weighted fusion.
4. 4. The method for configuring energy storage resources of a power grid of a receiving end based on quantitative evaluation of voltage-frequency support according to claim 3, wherein the multidimensional index in the voltage support dimension in step S21 comprises: static voltage stability margin The node voltage allowance before the maximum bearing load increment is defined, and the node voltage allowance is calculated by adopting a PV curve sensitivity or minimum characteristic value method; Transient voltage stability margin Voltage recovery ratio or steady state recovery time from time domain/short-circuit-transient simulation; Short-circuit ratio SCR = ; Rigidity of voltage Linearization sensitivity of node voltage to injected reactive power ; The multidimensional index in the frequency support dimension includes: Maximum rate of frequency change ; Frequency minimum point ; Steady state frequency difference ; Recovery time 。
5. 5. The method for energy storage resource allocation of the receiving-end urban power grid based on the quantitative evaluation of the voltage-frequency support according to claim 4, wherein the step S22 is specifically to normalize the multidimensional index by using Min-Max or Z-score, and obtain the voltage support index of the node by weighted summation according to the corresponding preset weight And frequency support index : Wherein, the The values after the normalization are represented and, The weight is supported for the voltage at node i, The weights are supported for the frequencies of node j.
6. 6. The method for configuring energy storage resources of the receiving-end urban power grid based on the quantitative evaluation of the voltage-frequency support according to claim 5, wherein the step S3 comprises the following steps: s31, calculating the normalized sensitivity of the energy storage reactive power injection capacity to the voltage support index based on the power grid jacobian matrix or the sensitivity matrix so as to obtain the voltage support marginal contribution; S32, associating energy storage active injection with system frequency change through an equivalent inertia/damping model so as to obtain frequency support marginal contribution; s33, summarizing contributions of the energy storage units at corresponding nodes, and obtaining pairs of each energy storage unit under a given scene by considering SOC constraint, available multiplying power and grid-connected point electrical position attenuation And (3) with Is included.
7. 7. The method for energy storage resource allocation of the receiving-end municipal power grid based on the quantitative evaluation of the voltage-frequency support strength of claim 6, wherein the specific process of step S31 is to set the reactive power injection capacity of the energy storage unit k as Calculating the change rate of the voltage index by using a power grid jacobian or sensitivity matrix: Defining the contribution of the energy storage unit k to the node voltage support as: Wherein, the Normalized sensitivity to reactive power for the voltage indicator.
8. 8. The method for configuring the energy storage resources of the receiving-end urban power grid based on the quantitative evaluation of the voltage-frequency support intensity according to claim 7, wherein the specific process of the step S32 is that the energy storage provides rapid active injection by discharging/charging, and the equivalent support quantity to the frequency is approximately as follows: Wherein, the For the system frequency sensitivity, the node frequency supporting contribution of the energy storage unit k is calculated as follows: Wherein, the Normalized sensitivity to active power for the frequency index.
9. 9. The method for configuring energy storage resources of the receiving-end urban power grid based on the voltage-frequency support intensity quantization evaluation according to claim 8, wherein the step S4 comprises the following steps: s41, scene sampling and feature construction, namely generating N representative scenes from historical and predicted data, wherein each scene is described by a feature vector and comprises a new energy access proportion, external electric power, a load standard deviation, a short circuit capacity, initial SOC distribution and an available energy storage scale; S42, scene clustering, namely grouping N scenes in a feature space by using a clustering algorithm, and selecting representative scenes of each cluster as key scenes; s43, performing sensitivity/disturbance simulation under each representative scene to calculate marginal contribution vectors of the energy storage units And And calculating the minimum capacity of the required energy storage machine according to the preset target values of the voltage support index and the frequency support index based on the marginal contribution vector.
10. 10. The method for configuring energy storage resources of the power grid of the receiving end based on the quantitative evaluation of the voltage-frequency support according to claim 9, wherein the calculation formula of the comprehensive contribution score in the step S5 is as follows: Wherein, the Is the annual cost per unit capacity of the device, As a factor of the availability of the stored energy, , , Is the policy weight.

Description

Method for configuring energy storage resources of receiving-end urban power grid based on voltage-frequency support intensity quantitative evaluation Technical Field The invention relates to the technical field of energy storage optimization scheduling, in particular to a method for configuring energy storage resources of a receiving-end urban power grid based on quantitative evaluation of voltage-frequency support intensity. Background With the increase of the ratio of the access of unstable new energy sources such as large-scale wind power, photovoltaic and the like and the external electricity (input at a transmitting end), the frequency stability margin of a receiving-end urban power grid is reduced, the risks of overvoltage and transient oscillation are increased, and the inertia support mainly based on a rotating machine is gradually scarce in the prior art. In order to ensure the operation safety of the power grid and the consumption of new energy, it is necessary to precisely quantify the voltage and frequency supporting capability of various energy storage resources (such as self-assembled energy storage of new energy stations, independent energy storage power stations and electric vehicles V2G) so as to guide planning and operation scheduling. However, the current evaluation of energy storage mostly takes energy/power/economical point of view, or only considers a single index (such as improvement of short-circuit ratio or instantaneous active support), and the marginal contribution and system-level requirement of each energy storage unit under different operation scenes cannot be accurately quantified, so that the actual scenes cannot be adapted, and it is difficult to obtain an energy storage configuration scheme for planning and preferential construction. Disclosure of Invention The invention aims to overcome the defects of the prior art and provide a method for configuring energy storage resources of a receiving-end urban power grid based on voltage-frequency support intensity quantitative evaluation, which can realize uniform evaluation of multi-type energy storage support capacity and accurate matching of system requirements and output a landable energy storage resource configuration scheme. The invention aims at realizing the following technical scheme that the method for configuring the energy storage resources of the urban power network at the receiving end based on the quantitative evaluation of the voltage-frequency support intensity comprises the following steps: s1, acquiring receiving-end urban power grid data, wherein the receiving-end urban power grid data comprises basic data, measurement data, operation data, energy storage equipment data and operation auxiliary data; s2, obtaining a voltage support index and a frequency support index by calculating a voltage-frequency multidimensional index based on the data of the urban power network at the receiving end; S3, mapping each energy storage unit into marginal contribution to the voltage support index and the frequency support index, and summarizing the contributions of all the energy storage units at corresponding nodes to obtain a net marginal contribution matrix of each energy storage unit to the voltage support index and the frequency support index under a given scene; s4, performing sensitivity analysis and scene clustering by using the net marginal contribution matrix to obtain the minimum capacity of the energy storage machine required under different representative scenes; and S5, calculating the comprehensive contribution score of each energy storage unit, sequencing, generating a priority configuration list, and outputting the minimum capacity and the construction position of the energy storage machine meeting the constraint under the corresponding scene. Further, the basic data in the step S1 includes a receiving end power grid topology (nodes, branches), static synchronous machine parameters, short circuit capacity, and transformer parameters; The measurement data includes SCADA (SupervisoryControlAndDataAcquisition, data acquisition and monitoring control) data and PMU (PowerManagementUnit ) data; The operation data comprises a history and predicted power sequence of new energy, external electric input and load; the energy storage device data includes a power rating of each energy storage device Rated energyMaximum/minimum active/reactive output, reaction time constantControl mode, grid-connected point position information; the operation assistance data includes a market tag and an operation scene tag. Further, the step S2 includes the steps of: S21, preprocessing the acquired receiving end power grid data, and then respectively calculating multidimensional indexes under a voltage supporting dimension and a frequency supporting dimension according to a voltage-frequency multidimensional index system; S22, carrying out normalization processing on the calculated multidimensional index, and obtaining a corresponding voltag