CN-121980817-A - Water-wind-solar complementary capacity optimization evaluation method considering water-electricity active regulation capacity

Abstract

The invention belongs to the technical field of water-wind-solar complementary capability evaluation, and relates to a water-wind-solar complementary capability optimization evaluation method considering the water-electricity active adjustment capability. Firstly, constructing a simulation input data set of a water-wind-solar multi-energy complementary system as a basic data sequence for complementary capability assessment, wherein the simulation input data set comprises selection and generation of a typical warehouse-in runoff sequence, calculation of a typical wind-solar output sequence synchronous with the typical warehouse-in runoff sequence, initializing and defining fixed physical parameters and dynamic time sequence parameters required by a model, secondly, generating a water-wind-solar complementary quantization index considering water-electricity active regulation by considering a variation coefficient, then constructing a water-wind-solar complementary capability assessment simulation optimization method, taking maximization of the water-wind-solar complementary capability and minimization of water discard as objective functions, reducing water discard generated in the water-electricity active regulation process, and finally, realizing efficient optimization solution of a multi-objective model by using a layered sequence method.

Inventors

• LI HONGGANG
• NI WANGDAN
• ZHANG JUNTAO
• CHEN XIANG
• WANG MINGBO
• CHENG CHUNTIAN
• PENG JIE
• WANG YUQIAN
• ZHANG QISHUN
• Ai Xianren
• ZHOU YI
• YANG QING
• LI YAJIE
• SUN FENGLING

Assignees

• 华能澜沧江水电股份有限公司

Dates

Publication Date

20260505

Application Date

20260330

Claims (3)

1. 1. The water-wind-solar complementary capacity optimizing and evaluating method considering the water-electricity active regulation capacity is characterized by comprising the following steps: step 1, constructing a simulation input data set of a water-wind-solar multi-energy complementary system; the method comprises the steps of selecting and generating a typical warehouse-in runoff sequence, calculating a typical wind-light output sequence synchronous with the typical warehouse-in runoff sequence, and initializing and defining fixed physical parameters and dynamic time sequence parameters required by a model; step 2, generating a water-wind-solar complementarity quantification index considering water-electricity active regulation; wind-light output and sequence under same time sequence Coefficient of variation of (2) The complementarity of wind power and photovoltaic power under the uncertainty condition is represented, T is the current time period, and T is the time period number contained in the scheduling period; The larger the wind-solar hybrid is, the worse the wind-solar hybrid is represented, The closer to 0, the better the wind-solar complementarity, When the wind and the light are completely complementary, the output and the sequence are a horizontal line; wind-light output and sequence of same time sequence launching Coefficient of variation of (2) The complementarity of the overall operation of the water, wind and light is shown, determination of water-wind-solar complementary strength the method is similar to wind-solar complementarity; The formulas are respectively as follows: wind-light output and sequence Coefficient of variation of (2) : (1) Water, wind and light output and sequence Coefficient of variation of (2) : (2) Complementarity index C: (3) Wherein C is the water and electricity active adjustment complementary capacity of the water and wind base in the whole optimization period, and has no dimension; Wherein the method comprises the steps of And The larger the wind-solar complementarity and the worse the water-wind complementarity are represented, And The closer to 0, the better the wind-solar complementarity and the water-wind complementarity, The time indicates that the wind and the light are completely complementary, The complete complementation indicates that the output and the sequence are a horizontal line under the same time sequence; Step 3, constructing a water-wind-light complementary capability evaluation simulation optimization method; step 3.1, an objective function; (4) (5) wherein: The total water discarding amount of the water reservoir in the whole optimization period of the water-wind-solar base is ten thousand m 3 ; the water discharge rate of the reservoir in the period t is m 3 /s; seconds for a single period of time, in s; Step 3.2, constraint conditions; The method comprises water balance constraint, reservoir regulation and storage capacity constraint, reservoir delivery flow and unit power generation flow constraint, reservoir initial water level constraint, hydropower output calculation constraint and hydropower station output constraint; step 4, carrying out multi-objective solving by adopting a split sequence method; Solving the water-wind-solar complementary multi-target model constructed in the step 2 and the step 3 by adopting a layered sequence method, searching the optimal solution of the secondary target on the premise of ensuring the achievement of the core target by introducing a priority mechanism and a tolerance control strategy, and specifically comprises the following steps: Step 4.1, sorting the priority of the objective function; according to the actual running requirement and scheduling strategy of the water-wind-solar complementary system, setting priority for each objective function; the complementary competence assessment model is decomposed into two levels: first priority of maximizing the complementarity index as a first objective function Reflecting the core evaluation requirements of the system; second priority, setting the minimum total water reject amount as a second objective function The target reflects the optimization requirement of the system on the water resource utilization efficiency, namely a secondary target, on the premise of meeting the power generation requirement; is a decision scheme that considers the maximization of complementarity, Is a decision scheme when the total water discard amount is minimum; Step 4.2, optimizing the first level, namely solving the highest priority target; on the premise of meeting the system basic constraint condition, namely the feasible region determined in the step 3.2, the first objective function is firstly performed Single-objective optimization is carried out to obtain an optimal function value of the first objective ; Step 4.3, restraint solidification and tolerance control; In order to not sacrifice the performance of the first target excessively when optimizing the second target, the optimization result of the first level is required to be converted into constraint conditions of subsequent calculation, a limited degradation strategy is introduced, namely the optimal value of the first target function is allowed to moderately degrade within a preset tolerance range, so that the search space of the second target function is enlarged, and the situation that the second target has no solution or extremely poor effect due to the constraint death of the first target is avoided; Step 4.4, optimizing the second level; Under the additional constraint of keeping the first objective function value not inferior to the post-degradation set point, in a new, limited feasible region Solving a second target internally, searching a scheme for minimizing the total water discarding amount, and finally obtaining a comprehensive optimal solution of the water-wind-solar complementary system; step 4.5, a specific model formula is as follows: (13) (14) (15) In the middle of And The optimal function values of the first and second objective functions, respectively; allowing an amount of degradation for the first objective function; Is a real number set; And A feasible region for the first and second objective function decision variables, respectively; in the calculation, will Is set to a first objective function, Setting a second objective function, allowing the degradation amount of the first objective function Set to 3%, first objective function feasible region Determining the feasible region of the second objective function according to equations (8) - (12) Determined according to formulas (13) - (15).
2. 2. The method for optimizing and evaluating the water-wind-solar complementary capacity taking into consideration the water-electricity active regulation capacity as set forth in claim 1, wherein the step (1) is specifically as follows: step 1.1, generating a typical warehouse-in runoff sequence; Based on historical hydrologic data of the river basin, adopting a frequency analysis method to carry out statistical analysis on long-series annual runoff data, selecting specific years as typical water flat year according to a preset design guarantee rate, extracting daily or hour-by-hour warehousing runoff quantity of the typical water flat year, and constructing a typical warehousing runoff time sequence of the cascade hydropower station; Step 1.2, generating a typical wind-light output sequence; In order to maintain the consistency of meteorological conditions in the multi-energy complementary evaluation, selecting wind speed, solar irradiance and air temperature observation data in the same period as a typical warehouse-in runoff sequence; converting meteorological data into electric power output data by using a wind-light output empirical formula and a conversion model, wherein the wind-light output empirical formula and the conversion model are used for calculating theoretical output of a wind power plant according to wind speed data, fan hub height and a fan power curve; Step 1.3, initializing model input parameters; An input data set required by the complementary capability evaluation model is constructed, and the data set is specifically divided into two types of fixed physical parameters and dynamic time sequence parameters; The fixed parameters comprise reservoir characteristic water level, reservoir regulation reservoir capacity, installation capacity, number of units, rated water head, rated flow of units and comprehensive efficiency coefficient, hydropower station operation characteristic curves, wind and light empirical formula parameters, wind and light wind speed, rated wind speed, photovoltaic panel reference temperature, photoelectric conversion coefficient and system loss factor, wind and light installation capacity, and wind and light installation capacity, namely the rated installation scale of a planned or established wind power plant and photovoltaic power station, wherein the reservoir water level-reservoir capacity curve and the tail water level-delivery flow curve; The dynamic parameters comprise variable sequences changing along with time step t, a daily water consumption rate time sequence, a runoff time sequence, a wind-solar meteorological condition time sequence and a typical wind-solar output time sequence, wherein the variable sequences comprise a unit power generation water consumption rate sequence calculated according to reservoir water level change and unit operation characteristics, the runoff time sequence comprises full-time typical warehouse-in runoff time sequence data generated in the step 1.1, and the wind-solar meteorological condition time sequence comprises typical wind-solar output time sequence generated by full-time wind speed, irradiance and temperature original meteorological data related in the step 1.2.
3. 3. The optimization evaluation method for the water-wind-solar complementary capability taking into consideration the water-electricity active regulation capability according to claim 1, wherein the constraint condition in the step 3.2 is specifically as follows: water balance constraint: (6) wherein: 、 And The storage flow, the power generation flow, the delivery flow and the reject flow of the reservoir h in the period t are respectively represented by m 3 /s; The storage capacity of the reservoir h in the period t is expressed in the unit of ten thousand m 3 ; reservoir regulating and storing capacity Constraint: (7) wherein: And The upper limit and the lower limit of the reservoir capacity in the period t are respectively shown in ten thousand m 3 ; Reservoir delivery flow and unit power generation flow Constraint: (8) (9) wherein: And Respectively the reservoir is in time period The unit of the upper and lower limits of the power generation flow is m 3 /s; And Respectively the reservoir is in time period The unit of the upper limit and the lower limit of the delivery flow of the system is m 3 /s; Initial water level constraint of reservoir: (10) wherein: For the initial storage capacity of the container, For the storage capacity of the end of the period, And The unit is ten thousand m 3 , which is the limit of the initial and final storage capacity of the reservoir; water power calculation constraint: (11) wherein: The unit of the generating power of the hydropower in the period t is MW, The unit of the water consumption rate of the hydropower station in the period t is m 3 /kWh; hydropower station output constraint: (12) wherein: And The upper and lower limits of the output of the hydropower station in the period t are respectively defined as MW.

Description

Water-wind-solar complementary capacity optimization evaluation method considering water-electricity active regulation capacity Technical Field The invention belongs to the technical field of water-wind-solar complementary, and relates to a water-wind-solar complementary capacity optimization evaluation method considering the water-electricity active regulation capacity. Background Along with the large-scale construction of clean energy bases, the installed capacities of wind energy and solar power generation are continuously increased. However, wind-solar power generation has inherent uncertainty due to the influence of randomness, intermittence and fluctuation of meteorological factors such as wind speed, solar irradiation intensity, ambient temperature and rainfall, and the like, which forms a serious challenge for instantaneous power balance of a power system and safe and stable operation of a power grid. In view of the excellent regulation performances of quick start and stop, controllable output and the like of hydropower, natural seasonal and daily complementary characteristics of the hydropower, wind energy and light energy, constructing a water-wind-light cooperative operation system becomes a key technical path for absorbing large-scale new energy and stabilizing force fluctuation. At present, in large-scale watercourses such as the lan cangjiang, the construction of a water-wind-solar comprehensive energy base by combining a large-scale wind-solar unit into a step hydropower station group has become an industry development trend. Under the background, how to precisely and quantitatively evaluate the water, wind and solar multi-energy complementary capability becomes a precondition for determining the optimal bundling capacity and formulating a complementary scheduling strategy. However, the existing water-wind-solar complementary capability evaluation technology has the following significant limitations and technical defects: The limitation of the evaluation dimension is that the correlation coefficient or the complementarity index is mostly adopted in the prior art to describe the relation among variables. Such methods are generally limited to complementarity analysis of two-dimensional resources (such as wind-water or light-water), and are difficult to handle in complex scenarios of water, wind, light multidimensional variable coupling; The fluctuation characteristic characterization is insufficient, the traditional index mainly focuses on the correlation of the variable change direction, and the substantial influence of fluctuation amplitude (Magnitude) on the system regulation requirement is ignored, so that peak regulation pressure caused by the random fluctuation of meteorological factors cannot be accurately characterized; This is the biggest deficiency of the prior art, lacking consideration of the active regulation capability of hydropower. The existing evaluation system often regards hydropower as a passive adaptive static resource, and cannot deeply mine the active regulation capability (Active Regulation Capability) of the cascade hydropower station group (Cascade Hydropower Stations) for time-series electric quantity transfer by utilizing the storage capacity. Neglecting the adjustment potential of water and electricity on time sequence association, the evaluation result of the complementary capability is conservative or distorted, and an accurate quantification basis cannot be provided for actual engineering. In summary, the prior art lacks a complementary energy quantization method capable of deeply examining the relationship between the water and wind and light fluctuation and incorporating the active regulation capability and the water and electricity time sequence relationship characteristic of the step water and electricity into an evaluation system. Disclosure of Invention Aiming at the defects in the prior art, the invention aims to provide the water-wind-solar complementary capacity optimizing and evaluating method considering the water-electricity active regulating capacity. Firstly, constructing a simulation input data set of a water-wind-solar multi-energy complementary system as a basic data sequence for complementary capability assessment, wherein the simulation input data set comprises selection and generation of a typical warehouse-in runoff sequence, calculation of a typical wind-solar output sequence synchronous with the typical warehouse-in runoff sequence, initializing and defining fixed physical parameters and dynamic time sequence parameters required by a model, secondly, generating a water-wind-solar complementary quantization index considering water-electricity active regulation by considering a variation coefficient, then constructing a water-wind-solar complementary capability assessment simulation optimization method, taking maximization of the water-wind-solar complementary capability and minimization of water discard as objective functions, reducing water