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CN-121980828-A - Storage gain evaluation method for river basin water-wind-solar base allocation

CN121980828ACN 121980828 ACN121980828 ACN 121980828ACN-121980828-A

Abstract

The invention belongs to the field of river basin water and wind-light integrated comprehensive base planning, and relates to a river basin water and wind-light base storage allocation gain evaluation method. Firstly, the influence of new investment and operation and maintenance cost of energy storage and new energy sources, annual power generation gain and discount rate are comprehensively considered, and a base storage allocation gain index is provided. And secondly, establishing a river basin water wind-solar energy storage integrated planning model with embedded 8760h complementary operation simulation. And designing energy storage generalized constraint, characterizing technical characteristics of different types of energy storage through parameter differentiation, and realizing efficient solution of a planning model through a convex linearization technology. And calculating new energy access capacity of the river basin before and after different types of energy storage configurations and running a simulation process for 8760 hours, quantitatively comparing gain effects of different storage schemes through the provided storage gain evaluation indexes, and determining an optimal storage scheme. According to the invention, the solution is realized by a medium-short term nested decreasing and protruding linearization modeling technology, so that the solution scale of the model can be effectively reduced while the precision is ensured, and the solution speed is improved.

Inventors

  • LI MING
  • LI JIANG
  • LI YAJIE
  • ZHANG JUNTAO
  • PANG HAO
  • Huo Zhishuo
  • CHENG CHUNTIAN
  • WANG YUQIAN
  • PENG JIE
  • Ai Xianren
  • GUAN ZHEN
  • HU HONG
  • ZHANG QISHUN
  • YANG QING
  • MU YONGJUN

Assignees

  • 华能澜沧江水电股份有限公司

Dates

Publication Date
20260505
Application Date
20260407

Claims (10)

  1. 1. A river basin water wind-solar base allocation and storage gain evaluation method is characterized by comprising the following steps: step1, initial data collection; the method comprises runoff data, new energy power station output data and electricity price data; step2, providing a storage gain index Y; the storage allocation gain index is defined as the ratio of the gain increment of the full life cycle generated energy after the energy storage is allocated to the watershed water-wind-solar comprehensive base to the system cost increment; step 3, constructing a water, wind and light storage integrated 8760h planning model; Step 3.1, assuming that all power sources in the system are uniformly transmitted through a power transmission channel, and taking the maximum power consumption of the base as an objective function ; Step 3.2, establishing step hydropower operation constraint; Step 3.3, establishing new energy constraint; Step 3.4, establishing a water, wind and light storage integrated operation constraint; Step 3.5, establishing energy storage operation constraint; step 3.6, setting energy storage parameters including unit power cost, unit capacity cost, equipment operation life, charge state, charge and discharge efficiency and operation maintenance cost coefficients of various energy storage technologies; Step 3.7, middle-short term nesting dimension reduction, namely dividing the whole year into a middle-term day scale and a short-term hour scale, carrying out hydroelectric power generation capacity optimization on the middle-term day scale, reasonably distributing daily power generation capacity of hydropower, defining a short-term daily power boundary, and simultaneously playing the adjustment capacity of the hydropower on the time scales of day, week, month and season; step 3.8, linearizing nonlinear constraint, namely introducing a small amount of 0-1 integer variable by combining a triangle linear interpolation method to perform linear modeling on a hydroelectric nonlinear power generation function; Step 3.9, inputting the data collected in the step 1 into the water-wind-solar-energy-storage integrated 8760h planning model established in the step 3.1-step 3.8, calculating the access scale of new energy sources when the water-wind-solar comprehensive base is not configured with energy storage, configuring energy storage with different proportions based on the secondary scale, then, re-calculating and outputting the optimal scale, operation process and corresponding total consumed electric quantity of wind power and photovoltaic power stations under the corresponding configuration and storage scheme, then, calculating the configuration and storage gain index, evaluating the gain effect of the energy storage configuration scheme on the base, finally, adjusting the model energy storage configuration scheme, repeating the process, obtaining gain effect index values corresponding to different energy storage configuration schemes, and accordingly screening the optimal energy storage configuration scheme.
  2. 2. The method for evaluating the storage gain of the river basin water-wind-solar base according to claim 1, wherein in the step 1, The runoff data comprises the runoff data of a river basin, basic data of a water power station in the river basin, including a water level operation boundary, a maximum and minimum delivery flow, a maximum power generation flow, a guaranteed output, a installed capacity, an adjusting performance, a water level-reservoir capacity relation curve, a tailwater level-downdrain flow curve and an output-water head-power generation flow curve, wherein the runoff data is obtained by calculating the runoff data of the river basin for years; the new energy power station output data comprises the steps of taking the historical output of a new energy power station which is put into production by a watershed water-wind-solar comprehensive base as a reference, calculating a new energy unit installation output sequence taking an hour as a step length, collecting wind power and photovoltaic unit installation cost and annual operation and maintenance cost, and determining an operation period; electricity price data: the electricity price is settled at the electricity generation side of the river basin.
  3. 3. The method for evaluating the storage gain of a river basin water-wind-solar base according to claim 1, wherein in the step 2, the mathematical expression of the storage gain index Y is as follows: In the formula, And (3) with The electric quantity is consumed by the base before and after the allocation and storage, and MWh; the average electricity price is yuan/MWh; The annual cost increment of new energy sources after the preparation and storage is more than that before the preparation and storage is more important; Annual cost expense for the energy storage power station is the element; the annual cost of the new energy and the new energy power station is calculated by combining the discount rate and the respective operation years, and the initial investment cost and operation maintenance are comprehensively considered when the annual cost of the new energy and the new energy power station is calculated, wherein the mathematical expression is as follows: In the formula, And (3) with The annual investment cost and the annual operation maintenance cost of the energy storage power station are respectively; And (3) with The annual investment cost and annual operation maintenance cost of the new energy power station are respectively calculated according to the following formula: In the formula, The installed capacity of energy storage is MW; The energy capacity of stored energy, MWh; the unit power cost of energy storage is yuan/MW; The unit capacity cost of energy storage is Yuan/MWh; The cost coefficient,%; And (3) with The installed capacities of photovoltaic and wind power are respectively MW; And The unit installation cost of the photovoltaic and wind power is unit/MW respectively; And Annual operation maintenance cost, meta/MW of photovoltaic and wind power respectively; And (3) with Respectively the equal annual value coefficients of the energy storage power station and the new energy power station; the rate of discount,%; And (3) with The operation period and the year of the energy storage power station and the new energy power station are respectively.
  4. 4. The method for evaluating the storage gain of a river basin water-wind-solar base according to claim 1, wherein in step 3.1, an objective function is obtained The mathematical expression is as follows: In the formula, Is that Day of the day Final output of the water-wind-solar storage bundling is MW; For the day index to be used, As a set of day indexes for a year, ; For the hour index of each day, For a set of hour indices of each day, 。
  5. 5. The method for evaluating the storage gain of the river basin water-wind-solar base according to claim 1, wherein the step 3.2 is specifically as follows: the mathematical expression of the water balance constraint is as follows: In the formula, Indexing the power station; For a set of plant indices, ; Is a hydropower station Reservoir Day of the day The storage capacity at the end of the period of time is ten thousand m 3 ; Is a hydropower station At the position of Day of the day Natural warehouse-in runoff, m 3 /s; Is a hydropower station Reservoir Day of the day The total warehouse-out flow rate is m 3 /s; Is a hydropower station At the position of Day of the day The power generation flow rate at the time of the process, m 3 /s, Is a hydropower station At the position of Day of the day The water flow rate of the waste water is m 3 /s; The water level operation constraint, the mathematical expression is as follows: In the formula, Is a hydropower station At the position of Day of the day Water level at the end of the period, m; And Respectively hydropower stations At the position of Day of the day The water level at the time runs a lower boundary and an upper boundary, m; And Respectively hydropower stations Water levels of initial period and final period of scheduling, m; And Respectively hydropower stations The water level of the initial period and the final period of the scheduling is valued, m; The flow upper and lower limits are constrained, and the mathematical expression is as follows: In the formula, And Respectively power stations At the position of Day of the day The lower limits of the warehouse outlet flow and the power generation flow are m 3 /s; And Respectively power stations At the position of Day of the day The upper limit of the warehouse outlet flow and the power generation flow is m 3 /s; the upper and lower limits of the force are constrained, and the mathematical expression is as follows: In the formula, Is a hydropower station At the position of Day of the day Average output, MW; Is a hydropower station At the position of Day of the day Lower limit of output, MW; Is a hydropower station At the position of Day of the day Upper limit of output, MW; The mathematical expression of the hydroelectric generation function is as follows: In the formula, Is a hydropower station A force-head-power flow curve function; Is a hydropower station At the position of Day of the day A water head m; the hydropower characteristic curve is constrained, and the mathematical expression is as follows: In the formula, Is a hydropower station A water level-reservoir capacity curve function; Is a hydropower station A tailwater level-downdraw flow curve function; Is a hydropower station At the position of Day of the day Tail water level, m; Is a hydropower station The head loss constant of m; Is a hydropower station At the position of Day of the day Water head at the moment, m.
  6. 6. The method for evaluating the storage gain of the river basin water-wind-solar base according to claim 1, wherein in step 3.3, the new energy output constraint mathematical expression is as follows: In the formula, And (3) with Respectively hydropower stations Accessed wind power and photovoltaic power generation device Day of the day Average output, MW; Is a hydropower station Wind power access capacity, MW; Is a hydropower station Photovoltaic access capability, MW; And Respectively hydropower stations Ambient wind power and photovoltaic power Day of the day The unit loading force.
  7. 7. The method for evaluating the storage gain of the watershed water-wind-solar base according to claim 1, wherein in step 3.4, the bundling force constraint mathematical expression is as follows: In the formula, Is a hydropower station At the position of Day of the day Average output, MW; Is a watershed water-wind-light comprehensive base Day of the day Total output of the time-consuming wind-solar storage bundling MW; Is that Day of the day Discarding electricity, MW; And (3) with Charging power and discharging power MW of the energy storage power station respectively; Maximum allowable power rejection rate,%; The transmission channel limits constraint, the mathematical expression is as follows: In the formula, Is the upper limit of the capacity of the transmission channel, MW.
  8. 8. The method for evaluating the storage gain of the river basin water-wind-solar base according to claim 1, wherein in step 3.5, The energy storage state constraint mathematical expression is as follows: In the formula, And (3) with The initial charge state and the final charge state of the energy storage power station are respectively,%; And (3) with The values of the initial charge state and the final charge state of the energy storage power station are respectively calculated according to the following formula: In the formula, In order to store energy in power station Day of the day State of charge at the end of the period,%; The MWh is the rated capacity of the energy storage power station; In order to store energy in power station Day of the day State of charge at the end of the period,%; And (3) with Respectively the charging efficiency and the discharging efficiency of the energy storage power station,%; A time period is a single time period long, h; The energy storage charge-discharge constraint mathematical expression is as follows: In the formula, Is the limit value of the charge and discharge power of the energy storage power station, MW; introducing binary variables Converting the energy storage charging and discharging constraint mathematical expression into a linear constraint form as follows: 。
  9. 9. The method for evaluating the storage gain of the river basin water-wind-solar base according to claim 1, wherein the step 3.7 is specifically as follows: the medium-short term nested dimension reduction constraint is shown as follows: In the formula, Is a hydropower station At the position of Average daily output, MW; And Respectively hydropower stations At the position of Lower and upper daily average force limit, MW; Is a hydropower station At the position of Average output time per day, h; at this point, the step hydropower operation constraint translates into: In the formula, And Is a hydropower station Reservoir Day and day The storage capacity of the end of day is ten thousand m 3 ; Is a hydropower station At the position of Daily natural warehouse-in runoff, m 3 /s; And Respectively hydropower stations Reservoir and its production method Reservoir in Total daily delivery flow, m 3 /s; Is a hydropower station At the position of Daily power generation flow, m 3 /s, Is a hydropower station At the position of Daily reject flow, m 3 /s; Is a hydropower station At the position of Water level at the end of day, m; And Respectively hydropower stations At the position of The water level of day runs the lower boundary and the upper boundary, m; And Respectively hydropower stations Water levels of initial period and final period of scheduling, m; And Respectively hydropower stations The water level of the initial period and the final period of the scheduling is valued, m; And Respectively power stations At the position of Daily warehouse-out flow and power generation flow lower limit, m 3 /s; And Respectively power stations At the position of Daily warehouse-out flow and power generation flow upper limit, m 3 /s; Is a hydropower station At the position of Average daily output, MW; Is a hydropower station At the position of Day of the day Lower limit of output, MW; Is a hydropower station At the position of Day of the day Upper limit of output, MW; Is a hydropower station At the position of Daily head, m; Is a hydropower station At the position of Daily tail water level, m; Is a hydropower station At the position of Daily head, m; meanwhile, daily water level amplitude constraint is supplemented on the medium-term scale: In the formula, And Respectively hydropower stations The water level of the reservoir is at The maximum descending amplitude of the day and the maximum ascending amplitude of the water level, m; after the new energy is connected into the large hydropower station, the peak regulation demand response capability of the original large hydropower station to the power grid is not changed, for this purpose, the water-wind-light storage bundling output force is required to meet a certain output line type constraint, the water-wind-light storage bundling output force per unit curve of each river basin is uniformly determined based on the differentiated power generation characteristics of the cascade hydropower station in the flood period and the withered period, and the output line type constraint is shown as the following formula: In the formula, In order to form a bundling and delivery mode library, two bundling and delivery modes are set based on the power generation characteristics of difference between the flood period and the dead period of step hydropower, and the bundling and delivery modes are formed by And (3) with Characterization, wherein Corresponding to the double peak line type in the dead period, the method is suitable for 1-6 months and 10-12 months; the corresponding flood season single peak line type is suitable for 7-9 months; indicating that a daily operational mode can be set; for the operation mode A corresponding typical per unit curve; Is the amplification factor.
  10. 10. The method for evaluating the storage gain of the river basin water-wind-solar base according to claim 1, wherein the step 3.8 is specifically as follows: omitting subscripts And The hydroelectric power generation function is simplified into Wherein The power is output by a hydropower station, MW; Is a water head, m; For generating flow, m 3 /s; Is a hydroelectric power generation function, adopts three water head reference values and three power generation flow reference values according to the variable range of water head and power generation flow of the reservoir, and is respectively recorded as And , , , Dividing the three-dimensional surface of the hydroelectric power generation characteristic into 8 triangles with 9 vertexes, uniquely determining any point falling in each triangle by three vertex reference values and weight coefficients of the triangle, and introducing three 0-1 variables The triangle which falls into is determined by the independent binary branch mode; Based on the modeling method, nonlinear equation constraint Is replaced by: Wherein: In the formula, For the position coordinates of The weight coefficient of the point; the above formula ensures that the weights of three vertices of the triangle are equal to 1, and realizes the branch selection process of the triangle.

Description

Storage gain evaluation method for river basin water-wind-solar base allocation Technical Field The invention belongs to the field of river basin water and wind-light integrated comprehensive base planning, and relates to a river basin water and wind-light base storage allocation gain evaluation method. Background The cascade hydropower adjusting capability and the external delivery channel are used as key supports for integrating water and wind in the watershed, and the development and utilization rate of renewable energy resources in the watershed and the level of new energy consumption can be effectively improved by utilizing the advantages of abundant wind and light resources around the watershed, seasonal complementary effects of the water and wind, the external delivery channel of the water and the electricity, the flexibility adjusting capability of the cascade hydropower and the like. However, as new energy continues to be connected in a large scale and the requirements of the power grid on the step water and electricity regulation capability are continuously improved, the watershed water and wind-light integrated development and operation are or are about to face the difficult problems of large margin of new energy resources and insufficient water and electricity regulation capability. The realization of the collaborative adjustment of the water storage by making an energy storage configuration scheme according to the endowment of the river basin resources is a technical key for improving the new energy configuration level of the water-wind-solar comprehensive base. However, the adjustment capability and investment cost of different types of energy storage have obvious differences, and how to scientifically plan the configuration energy storage type and configuration proportion of the watershed water-wind-light comprehensive base so as to realize the maximization of the configuration energy storage gain is a difficult problem to be solved urgently. From the perspective of water-wind-light integrated comprehensive base energy storage configuration planning: For example, in reference 1 (Pengmin, wang Xuelin, liu Dexu, etc.), the comparison of the scheduling operation of the hybrid and pure water-wind energy storage complementary system is considered [ J ]. Electric power system protection and control, 2024,52 (10): 179-187.DOI: 10.19783/j.cnki.pspc.231085.) the two pumping storage forms of hybrid pumped storage and pure pumped storage are considered respectively, the seasonal complementarity and the intra-day complementarity of water-wind energy resources are combined, and the difference of the hybrid storage and the pure storage is compared from the scheduling operation angle for the step water-wind energy storage complementary system of the drainage basin before and after the pumping storage is increased. Although the research explores the influence of pumped storage on the operation of a complementary system, the research lacks the comparative analysis of the benefits of the complementary system of the water, wind and light storages with different energy storage capacities, and does not show the analysis method of the optimal configuration of the energy storage capacity of the system. The method is based on comprehensive evaluation, and takes a mixed pumping-wind-light multi-energy complementary system capacity optimization configuration method based on comprehensive evaluation of a full life cycle as an example, and recommended pumping-storage machine scale is given by taking a mixed pumping-wind-light multi-energy complementary system upstream of a yellow river as an example, wherein the mixed pumping-wind-light multi-energy complementary system capacity optimization configuration research is [ J ]. Water conservancy journal, 2025,56 (06): 726-738.DOI: 10.13243/j.cnki.slxb.20240694) is coupled with a new energy output scenario set taking uncertainty into consideration, a short-term collaborative operation optimization model and a technical economy evaluation model. The literature gives annual increased power generation benefits, but omits new investment and operation and maintenance costs of energy storage and new energy. Moreover, the research focuses on the application of one energy storage technology (hybrid pumping and storage), and does not systematically compare and analyze the distribution and storage gain effects of the energy storage technologies with different types and different energy storage durations in the watershed water-wind-solar comprehensive base. Disclosure of Invention The invention provides a drainage basin water-wind-solar base storage gain evaluation method without solving the problems. And the southwest multi-basin base is taken as an example to quantitatively analyze the specific contribution of different energy storage technology routes to the improvement of the basin water-wind-solar comprehensive base benefit, so that the most reasonable energy storage configuration