CN-122026499-A - Analysis method, medium and computer equipment for new energy of park

CN122026499ACN 122026499 ACN122026499 ACN 122026499ACN-122026499-A

Abstract

An analysis method, medium and computer device for a new energy source for a campus are provided. The analysis method comprises the steps of establishing a new energy utilization rate model of the park, solving the new energy utilization rate model through an optimization iterative algorithm, obtaining a time sequence actual power generation amount of the new energy in a preset time period from a solving result, calculating an actual total power generation amount of the new energy in the preset time period according to the time sequence actual power generation amount of a generator in the park in the preset time period, determining an initial utilization rate of the new energy according to a ratio of the actual total power generation amount to the new energy in the preset time period, wherein an objective function of the new energy utilization rate model is an economic cost function calculated according to time sequence power generation power of an energy storage system in the park in the preset time period, rated power of the energy storage system and the generator, capacity of a power supply line of the park and costs related to the energy storage system and the generator.

Inventors

FU SHOUQIANG
GAO CHAO
HAO YANFENG
YAO XIUPING

Assignees

金风科技股份有限公司
金风低碳能源设计研究院（成都）有限公司
北京天润新能投资有限公司

Dates

Publication Date: 20260512
Application Date: 20241108

Claims (12)

1. An analysis method for a new energy source of a campus, the analysis method comprising: Establishing a new energy utilization rate model of the park, wherein the new energy comprises at least one of wind power generation equipment and photovoltaic power generation equipment, and an objective function of the new energy utilization rate model is an economic cost function calculated according to time sequence power generation power of a generator in the park in a preset time period, time sequence charging and discharging power of an energy storage system in the park in the preset time period, rated power of the energy storage system and the generator, capacity of a power supply line of the park and cost related to the energy storage system and the generator; solving the new energy utilization rate model through an optimization iterative algorithm; acquiring the time sequence actual power generation amount of the new energy in the preset time period from the solved result; Calculating the actual total power generation amount of the new energy in the preset time period according to the time sequence actual power generation amount; and determining the initial utilization rate of the new energy according to the ratio of the actual total power generation amount to the power generation amount of the new energy in the preset time period.
2. The method of claim 1, wherein the costs associated with the energy storage system and the generator include a capital cost per unit capacity increase for each of the generator and the energy storage system in the campus, a unit capacity cost for the power supply line, a marginal cost per unit power increase for the generator and the energy storage system, a time-sequential power-on cost and a time-sequential power-off cost for the generator for the predetermined period of time.
3. The method of claim 2, wherein the objective function of the new energy utilization model is the sum of: the power rating of the generator plus the capital cost per unit capacity of the generator; the product of the power rating of the energy storage system and the capital cost per unit capacity increase of the energy storage system; The product of the capacity of the power supply line and the unit capacity cost of the power supply line; A product of a sum of a product of time-series generated power of the generator in the predetermined period and a marginal cost of increased unit power of the generator and a product of time-series charge-discharge power of the energy storage system in the predetermined period and a marginal cost of increased unit power of the energy storage system and a preset time weight; and the generator is powered on at the time sequence of the preset time period and powered off at the sum of the time sequence of the preset time period.
4. The method of claim 1, wherein the new energy utilization model constraints include generator constraints, energy storage system constraints, new energy source self constraints, new energy related load constraints.
5. The method of claim 4, wherein the constraints of the new energy usage model further comprise at least one of an on-line constraint, an off-line constraint, and a power balance at each bus of the power supply line.
6. The method for analysis of new energy for a campus of claim 5, wherein, The generator constraint condition comprises that the time sequence generated power of an engine is more than or equal to the product of the time sequence availability lower limit of the generator and the rated power of the generator and less than or equal to the product of the time sequence availability upper limit of the generator and the rated power of the generator; the constraint conditions of the energy storage system comprise that the time sequence charge and discharge power of the energy storage system is smaller than the rated power of the energy storage system; the new energy self-body constraint condition comprises that the utilization rate of the new energy is larger than or equal to a preset lower limit value and the permeability of the new energy is larger than or equal to a preset threshold value, wherein the permeability of the new energy represents the actual total power generation amount of the new energy in the preset time period divided by the total load power amount of the park in the preset time period; The load constraint conditions related to the new energy source comprise that the total power consumption of the load related to the new energy source is less than or equal to the preset power consumption; The internet surfing constraint condition comprises that the total internet surfing electric quantity in the preset time period is smaller than or equal to a preset internet surfing constraint value; The off-grid constraint condition comprises that the total off-grid electric quantity in the preset time period is smaller than or equal to a preset off-grid constraint value; The power balance condition at each bus of the power supply line includes a time-series load on each bus being equal to a difference between a sum of a time-series generated power of the generator on the corresponding bus and a charge-discharge power of the energy storage system on the corresponding bus and a time-series power flow on the corresponding line.
7. The method of claim 1 further comprising calculating new energy utilization at different natural peak to valley rates, the natural peak Gu Chalv representing a ratio of a difference between a daily load peak and a load valley for the campus to a load peak.
8. The method of claim 1 or 7, further comprising calculating new energy utilization at different load adjustability, the load adjustability representing a proportion of the power consumption scale that the load of the farm can be dynamically adjusted.
9. The method of claim 1 further comprising determining a maximum proportion of load allowed to be lost for different periods throughout the life cycle of the new energy source based on the initial utilization and a predetermined minimum utilization.
10. The method of claim 9, further comprising determining how long the different time periods each last to restore load to an initial level before maintaining the minimum utilization of new energy.
11. A computer readable storage medium, characterized in that it stores a program or instructions that, when executed by a processor, cause the processor to perform the analysis method according to any one of claims 1 to 10.
12. A computer device, characterized in that it comprises a memory and a processor, the memory storing a program or instructions which, when executed by the processor, cause the processor to perform the analysis method according to any one of claims 1 to 10.

Description

Analysis method, medium and computer equipment for new energy of park Technical Field The present application relates to the field of new energy, and more particularly, to an analysis method, medium, and computer device for a new energy for a campus. Background According to the calculation method for realizing the consumption mainly by accessing a power grid at present, the new energy utilization rate is calculated by carrying out matching analysis on a new energy power supply and a load through a typical load curve or production operation simulation operation according to the boundary constraint or boundary condition of the project. Compared with conventional projects, the green power supply projects of the park are significantly constrained by loads and grid boundary conditions, and the projects generally require new energy to be consumed in the corresponding load range of the park, so that the new energy cannot be fed into the grid. The greatest disadvantage of the current technical means is that the load is taken as a constant factor, and once the capacity, peak-valley difference and other conditions are determined, the load is taken as a determination quantity input for carrying out new energy utilization rate analysis. Part of technical means possibly consider uncertainty of load prediction, consider a certain confidence interval, and improve the reliability of utilization rate analysis in a prediction error probability mode. However, most of these solutions are analysis and optimization performed on a deterministic load basis, ignoring dynamic changes in load, including changes in characteristics and capacity, over the life cycle of the new energy project, which will have a decisive impact on the green supply project of the campus. The life cycle of the new energy project lasts for a plurality of years, the wind power project usually lasts for 20 years, and the photovoltaic project usually lasts for 25 years according to the domestic wind power photovoltaic condition. In the life cycle of the new energy project, the power generation condition of the new energy project can be basically predicted, but the load bound with the new energy project is regarded as a constant parameter or has certain probability fluctuation around a deterministic parameter and is off-set. It is apparent that the load situation will change, even significantly, over a period of 20 or 25 years, which will have an impact on the utilization of the new energy project. Disclosure of Invention One of the purposes of the present disclosure is to provide an analysis method capable of dynamically calculating new energy utilization. According to a first aspect of the disclosure, an analysis method for a new energy of a park is provided, the analysis method comprises the steps of establishing a new energy utilization rate model of the park, obtaining a time sequence actual generating capacity of the new energy in a preset time period from a solution result, calculating an actual total generating capacity of the new energy in the preset time period according to the time sequence, determining an initial utilization rate of the new energy according to a ratio of the actual total generating capacity to the available generating capacity of the new energy in the preset time period, wherein the target function of the new energy utilization rate model is an economic cost function calculated according to time sequence generating power of a generator in the park in the preset time period, time sequence charging and discharging power of an energy storage system in the park in the preset time period, rated power of the energy storage system and the generator, capacity of a power supply line of the park and costs related to the energy storage system and the generator, solving the new energy utilization rate model through an optimization iterative algorithm. Alternatively, the costs associated with the energy storage system and the generator may include a capital cost per unit capacity increase for each of the generator and the energy storage system in the campus, a unit capacity cost for the power supply line, a marginal cost per unit power increase for the generator and the energy storage system, a time-sequential power-on cost and a time-sequential power-off cost for the generator over a predetermined period of time. Alternatively, the objective function of the new energy utilization model may be the sum of the product of the rated power of the generator and the capital cost per unit capacity of the generator, the product of the rated power of the energy storage system and the capital cost per unit capacity of the energy storage system, the product of the capacity of the power supply line and the cost per unit capacity of the power supply line, the product of the time-series generated power of the generator in a predetermined period and the marginal cost per unit power of the generator and the product of the time-series charge-discharge power of the