CN-122000906-A - Hydropower energy storage system optimization scheduling method considering energy storage and water consumption rate

CN122000906ACN 122000906 ACN122000906 ACN 122000906ACN-122000906-A

Abstract

The invention belongs to the field of dispatching control of electric power systems, and relates to a hydroelectric energy storage system optimizing dispatching method considering energy storage and water consumption rate, which comprises the steps of constructing a hydroelectric generating set water consumption characteristic model and a battery energy storage life loss cost model; the method comprises the steps of taking the comprehensive operation cost of a minimized system as a target, taking power balance and hydropower-energy storage coupled operation as core constraint, establishing an optimization model, adopting a double-layer framework combining daily optimization scheduling and daily rolling correction, solving the optimization model to generate a hydropower and energy storage combined scheduling instruction, sending the generated combined scheduling instruction to a hydropower station automatic power generation control system and a battery energy storage energy management system for execution, collecting actual operation data and carrying out feedback correction on the model, so that the utilization efficiency of water energy resources is improved, the service life attenuation of an energy storage battery is delayed, and the economical operation of the hydropower-energy storage combined system is realized on the premise that the power grid scheduling requirement is met.

Inventors

CHEN BAIYU
WANG XU
WANG LUYONG
LU WEI
LI WEIJIA
LI YING
CHEN JIANRAN
SHEN BIN

Assignees

中国电建集团昆明勘测设计研究院有限公司

Dates

Publication Date: 20260508
Application Date: 20260130

Claims (10)

1. The utility model provides a hydroelectric energy storage system optimization scheduling method taking into account energy storage and water consumption rate, which is characterized by comprising the following steps: Step1, constructing a water consumption characteristic model of the hydroelectric generating set and a battery energy storage life loss cost model; Step2, taking the minimum system comprehensive operation cost as a target, taking power balance and hydropower-energy storage coupling operation as core constraint, and establishing an optimization model; step3, solving an optimization model by adopting a double-layer framework combining daily optimization scheduling and daily rolling correction, and generating a combined scheduling instruction of hydropower and energy storage; step4, the generated joint scheduling instruction is issued to a hydropower station automatic power generation control system and a battery energy storage energy management system to be executed, actual operation data are collected, and feedback correction is carried out on a hydropower station water consumption characteristic model and a battery energy storage life loss cost model.
2. The optimal scheduling method for a hydroelectric energy storage system according to claim 1, wherein Step1 comprises Step1.1, establishing a hydroelectric generating set water consumption characteristic model, inputting data of a relation curve between generating set output and water consumption under different operating water heads, and solving an optimal water consumption interval under each water head one by one based on a fitting model, wherein the method comprises the following steps: constructing an initial hydroelectric generating set water consumption characteristic model, wherein the initial hydroelectric generating set water consumption characteristic model is a cubic polynomial; Obtaining fitting parameters through unit efficiency tests and/or historical operation data, wherein the fitting parameters comprise water consumption rate, output and water head; Fitting the fitting parameters through an initial hydroelectric generating set water consumption characteristic model to obtain a hydroelectric generating set water consumption characteristic model; obtaining a minimum water consumption rate point by solving partial derivatives of water consumption under each water head in a water consumption characteristic model of the hydroelectric generating set on the output of the generating set; Calculating the water consumption of the optimal output interval based on the minimum water consumption point and the set floating proportion; And (3) taking the water consumption of the optimal output interval into a water consumption characteristic model of the water motor group to obtain the optimal output interval under each water head.
3. The optimization scheduling method for the hydroelectric energy storage system according to claim 2, wherein the hydroelectric generating set water consumption characteristic model is as follows: ; Wherein, the The water consumption for generating power for the unit of the output of the hydroelectric generating set; the water-electricity generating unit is used for generating power, and the water consumption is used for generating power; 、、、、、、、、 And Initial, first, second, third, fourth, fifth, sixth, seventh, eighth, and ninth fitting coefficients, respectively.
4. The optimal scheduling method for the hydroelectric energy storage system according to claim 1, wherein Step1 comprises Step1.2, wherein a battery energy storage life loss cost model is built, wherein a life attenuation model is built based on the battery discharging depth and the cycle number, and capacity attenuation caused by single charging and discharging cycle is converted into equivalent electric life loss cost.
5. The optimization scheduling method for the hydroelectric energy storage system according to claim 4, wherein the equivalent electrical life loss cost is: ; Wherein, the Life loss cost per unit throughput of battery; Initial investment cost for the battery; number of cycle life times at a specific depth of discharge DoD; the rated capacity of the battery, and the DoD is the depth of discharge.
6. The optimal scheduling method for a hydroelectric energy storage system according to claim 1, wherein Step2 comprises: Step2.1, constructing a target optimization function: ; Wherein, the R is generating income, C is total running cost, T is time period variable, and T is total time period number; Electricity selling price in t period; the output of the hydroelectric generating set is t time period; The output of the energy storage battery in the t period; Charge and discharge times; Cost for battery life loss; punishment coefficients for hydropower efficiency; punishing costs for hydropower efficiency; step2.2, setting operation constraints, wherein the operation constraints comprise power balance constraints, hydroelectric generating set operation constraints and battery energy storage constraints; The power balance constraint is: ; Wherein, the The output of the hydroelectric generating set is t time period; The output of the energy storage battery in the t period; a total output plan of the joint system issued for scheduling; delta is an allowable deviation threshold; The operation constraint of the hydroelectric generating set is as follows: ; Wherein, the And Maximum and minimum output limits of the hydropower station respectively; The battery energy storage constraint is as follows: ; Wherein, the And Respectively the lowest charge state and the highest charge state of the energy storage battery; And The states of charge of the energy storage battery in the t period and the t+1 period are respectively; And Respectively the maximum discharge power and the maximum charge power of the energy storage battery; is the rated capacity of the energy storage battery.
7. The optimal scheduling method for a hydroelectric energy storage system according to claim 6, wherein the battery life loss cost and the hydroelectric efficiency penalty cost are respectively: ; ; Wherein, the Cost for battery life loss; cost per unit life of battery; The output of the energy storage battery in the t period; taking an absolute value; Charge and discharge times; The cost is punished for the water and electricity efficiency, k is punishment coefficient; the deviation degree function of the current unit output force relative to the optimal interval is used; the output of the hydroelectric generating set is t time period; is the optimal interval.
8. The optimization scheduling method for the hydroelectric energy storage system according to claim 7, wherein the calculation formula of the deviation function is as follows: ; Wherein, the P is the output of the unit; For the optimal interval of time, ; The output minimum value is the optimal interval; the maximum value of the output is the optimal interval; To take absolute value.
9. The optimal scheduling method for a hydroelectric energy storage system according to claim 1, wherein Step3 comprises: Step3.1, solving an optimization model by adopting an optimization algorithm based on a hydro-electric scheduling instruction to obtain a battery energy storage day-ahead charge-discharge plan and a hydro-electric output plan; And step3.2, carrying out the power output correction of the energy storage battery in a daily rolling mode based on the minute-level load prediction deviation and the actual running state of the equipment to obtain a joint scheduling instruction.
10. The optimal scheduling method for a hydroelectric energy storage system according to claim 1, wherein Step4 comprises: Step4.1, respectively sending the joint scheduling instruction to a hydropower station automatic power generation control system and a battery energy storage energy management system for execution; Step4.2, synchronously acquiring hydroelectric generating set operation data and energy storage battery operation data of the hydroelectric generating set to obtain feedback data, wherein the hydroelectric generating set operation data comprise actual output, instantaneous water consumption and reservoir water level of the hydroelectric generating set, and the energy storage battery operation data comprise actual charge and discharge power and battery charge state of the energy storage battery; and step4.3, periodically comparing the actual operation efficiency with the expected value of the model, and carrying out self-adaptive correction on parameters of the water consumption characteristic model of the hydroelectric generating set and the energy storage life loss cost model of the battery by using feedback data.

Description

Hydropower energy storage system optimization scheduling method considering energy storage and water consumption rate Technical Field The invention relates to the field of dispatching control of power systems, and particularly discloses a hydropower energy storage system optimizing dispatching method considering energy storage and water consumption rate. Background The high-proportion access of new energy sources such as wind and light exacerbates the fluctuation of the power grid, and brings great flexibility challenges. In view of limitations of adjustment means such as pumped storage, electrochemical storage and the like on scale, economy or adjustment duration, the exploitation and remodeling of the adjustment potential of the conventional hydropower becomes a key for solving the problem. For the hydroelectric generating set, the energy storage system can improve the capacity of the hydroelectric generating set for stabilizing new energy output fluctuation, participating in peak regulation and frequency modulation of a power grid and realizing energy space-time transfer. However, the coordinated operation of the combined water and electricity storage is not realized in the prior art, and the scheduling mode still needs to be studied intensively. In the operation of the existing hydropower station, in order to meet the power grid dispatching requirement, the output of the unit is frequently adjusted so as to deviate from the optimal water consumption rate, so that more water resources are consumed when the power generation amount is the same, or the time-consuming power generation amount of the same water is reduced, and the waste of the water energy is caused. Meanwhile, the configured energy storage battery system is only used for low storage and high emission or smooth fluctuation, and the scheduling mode is not coupled with the inherent operation efficiency of the hydropower plant. The existing scheduling method also often ignores life-span damage cost caused by frequent battery charging and discharging, only considers short-term economy, and increases total cost in the long term due to battery replacement. Therefore, the invention aims to provide an optimization scheduling method of the hydroelectric energy storage system considering the energy storage and water consumption rate, which enables the hydroelectric generating set to stably operate at the optimal water consumption rate point for as long as possible through the active replacement output or the absorption output of the battery, and the service life loss of the battery is obviously quantized in an optimization model, so that the comprehensive operation economical efficiency of the hydroelectric-energy storage combined system in long-term operation time is finally realized. Disclosure of Invention The invention aims to provide an optimization scheduling method of a hydroelectric energy storage system for considering energy storage and water consumption rate, which solves the problems by constructing a collaborative optimization model for coupling energy storage life attenuation cost and water and electricity water consumption characteristics of a battery and designing a layering solving strategy, so that a hydroelectric generating set can be operated in a high-efficiency interval as far as possible, and meanwhile, the aim of overall system operation economy and equipment durability is fulfilled, and the concrete scheme is as follows: A hydropower energy storage system optimization scheduling method considering energy storage and water consumption rate comprises the steps of Step1, constructing a hydropower unit water consumption characteristic model and a battery energy storage life loss cost model, step2, taking the minimum system comprehensive operation cost as a core constraint, building an optimization model, wherein the system comprehensive operation cost comprises a battery life loss cost and a hydropower efficiency penalty cost, step3, solving the optimization model by adopting a double-layer frame combining daily optimization scheduling and daily rolling correction to generate a hydropower and energy storage combined scheduling instruction, step4, sending the generated combined scheduling instruction to a hydropower station automatic power generation control system and a battery energy storage energy management system to execute, and collecting actual operation data to perform feedback correction on the hydropower unit water consumption characteristic model and the battery energy storage life loss cost model. Further, step1 comprises Step1.1, a hydropower unit water consumption characteristic model is built, relation curve data between unit output and water consumption rate under different operation water heads are input, an optimal water consumption rate interval under each water head is solved one by one based on the fitting model, the method comprises the steps of building an initial hydropower unit water consumption characteristi