CN-122021990-A - Ecological target-considered water-wind-solar medium-long-term optimization scheduling method

CN122021990ACN 122021990 ACN122021990 ACN 122021990ACN-122021990-A

Abstract

The invention relates to the crossing field of clean renewable energy utilization and reservoir dispatching, and discloses a water-wind-solar long-term optimization dispatching method considering ecological targets. The method comprises the following steps of (1) extracting ecological targets of hydrologic variation degree and suitable floating fish egg incubation and river reach length through an IHA-RVA method and a hydrodynamic model, (2) establishing a water-wind-light medium-long-term optimization scheduling model considering the ecological targets, solving through an elk optimization algorithm, and (3) analyzing the cooperative competition relationship of ecology and a power generation target. According to the method, the ecological targets are extracted through the simulation of the hydrodynamic conditions in the river channel by the hydrodynamic model, the water-wind-light long-term optimization scheduling model considering the ecological targets is built, and the water-wind-light long-term optimization scheduling considering the ecological targets is guided by solving through the elk optimization algorithm.

Inventors

GONG LANQIANG
YIN SHUHONG
WU DI
PANG BOHUI
MA LI
GUAN ZHEN
ZOU CHENG
LIU PAN
LI DACHENG

Assignees

中国电建集团贵阳勘测设计研究院有限公司
华能澜沧江水电股份有限公司
武汉大学

Dates

Publication Date: 20260512
Application Date: 20251216

Claims (7)

1. The water-wind-solar medium-term optimization scheduling method considering ecological targets is characterized by comprising the following steps of: (1) The influence of the hydrologic situation change on fish resources is evaluated by an IHA-RVA method, and a hydrodynamic model simulates hydrodynamic conditions in a river channel to extract ecological targets; (2) Establishing a water-wind-solar long-term optimization scheduling model considering ecological targets, and solving through an elk optimization algorithm; (3) And (5) comparing and analyzing the cooperative competition relationship of the ecological targets and the economic benefits.
2. The method for optimizing and scheduling the aquatic and wind energy in a long term taking ecological objectives into consideration according to claim 1, wherein in the step (1), The method comprises the steps of constructing a one-dimensional hydrodynamic model to simulate hydrodynamic conditions in a river, regarding flow propagation in the river as one-dimensional unsteady flow, wherein the evolution process is described by a Saint Vignat equation set, and the Saint Vignat equation set comprises a continuity equation and a momentum equation: ; ; Wherein A represents the area of the water cross section, Q represents the river flow, Q represents the lateral inflow or outflow corresponding to the unit length of the river channel reservoir, x and t represent independent space and time variables, g represents the gravity acceleration, z represents the water depth of the water cross section, n represents the roughness coefficient, R represents the hydraulic radius, ; Indicating the wet week.
3. The method for optimizing and scheduling the aquatic and wind-solar energy in a long term by considering the ecological targets according to claim 2, wherein the ecological targets comprise the minimum hydrologic variability: ; In the formula, The method comprises the steps of representing the total hydrologic variation degree, wherein Y o,i represents the years of the observed value of the hydrologic parameter I falling in the RVA range, Y e represents the expected value of the years falling in the RVA range, and the expected value is half of the total years, and I represents the number of the hydrologic parameter.
4. The method for optimizing and scheduling the aquatic and wind-solar energy and water resources by considering the ecological targets according to claim 3, wherein the ecological targets comprise the river reach length which is suitable for fish egg hatching and is the largest: ; Wherein SRL represents the length of a river reach suitable for hatching of the fish eggs, and RL t represents the length of a river reach suitable for hatching of the fish eggs in t period, and the unit is km.
5. The method for optimizing and scheduling the water, wind and solar energy in a long term by considering ecological targets according to claim 4 is characterized in that in the step (2), the scheduling model takes the maximum power generation amount of a water, wind and solar energy complementary system as an economic target, and the maximum power generation amount is: ; In the formula, For the total number of hours of the calculation period; Representing the number of power plants; the output of the wind-light power station in the t period is the output of the power plant in the t period; Indicating that the hydropower power station has the following power The electric discarding rate at the time of the process, The time period is calculated; The output of each power plant; The constraint conditions are water balance constraint, reservoir capacity constraint, delivery flow constraint, maximum delivery force limit constraint, minimum ecological base flow constraint and reservoir boundary condition constraint.
6. The method for optimizing scheduling in water, wind and solar energy with ecological objectives considered as claimed in claim 5, wherein said elk optimization algorithm comprises: during estrus, the formula for the selection of the male elk is as follows: ; Wherein B is the number of public elk, Is the fitness value of the jth male elk; the distribution of the elk is carried out by adopting a roulette selection method according to the suitability value of the elk, and the formula is as follows: ; wherein: Probability of being selected for the ith male elk; during the cubing period, each family generates new offspring, which are generated based on the parent's attributes as follows: ; wherein: For the new generation of the offspring to be generated, Is the position of a public elk; for the location of the milu deer, Is a random number, and ranges from 0 to 1; during the selection period, all family members are combined, then the individual with the best fitness value is selected as the population of the next generation, and the selection mechanism adopts a (mu+lambda) selection strategy, and the formula is as follows: ; wherein: For the combined population, EHS is the population size, and the top function is the EHS individual with the best adaptability.
7. The method for optimizing and scheduling the aquatic and wind energy in a long term by considering the ecological targets according to claim 1, wherein in the step (3), the cooperative competition relationship of the ecological targets and the economic benefits is analyzed by calculating the correlation coefficient r among the optimization targets in the pareto solution set.

Description

Ecological target-considered water-wind-solar medium-long-term optimization scheduling method Technical Field The invention belongs to the crossing field of clean renewable energy utilization and reservoir dispatching, and relates to a water-wind-solar long-term optimization dispatching method considering ecological targets. Background The influence mechanism of the change of the running mode of the hydropower station on ecology is unknown while new energy is developed, the ecological requirement is not considered in the traditional water-wind-solar long-term scheduling, and challenges are extracted on how to realize the win-win of ecological benefit and economic benefit. In the current water-wind-solar long-term optimization scheduling, the ecological target is not considered in the objective function, so that the influence mechanism of the water-wind complementary system on ecology is unknown. Disclosure of Invention Aiming at the problem that in the existing water-wind-solar long-term optimization scheduling, an objective function does not consider an ecological target, so that an influence mechanism of a water-wind complementary system on ecology is unknown, the invention provides the water-wind-solar long-term optimization scheduling method considering the ecological target, and provides a novel method for adapting to ecological requirements of the water-wind-solar long-term optimization scheduling by adding the ecological target extracted by an IHA-RVA method and a hydrodynamic model. The technical scheme is that the method for optimizing and dispatching the aquatic and wind energy in a long term by considering ecological targets comprises the following steps: (1) Extracting ecological targets suitable for hatching of floating fish eggs and length of river reach through IHA-RVA method and hydrodynamic model In order to define ecological targets required by long-term scheduling in water, wind and light, influence of hydrologic situation change on fish resources is evaluated by an IHA-RVA method based on a natural flow process, a one-dimensional hydrodynamic model is constructed to simulate hydrodynamic conditions in a river channel in order to meet the fish egg floating process of four large housefish, flow propagation in the river can be regarded as one-dimensional unsteady flow, and the evolution process can be described by a Saint Vietnam equation set. The san fran equation set includes two partial differential equations, a continuity equation and a momentum equation, respectively. ; ; Wherein A represents the area of the water cross section, Q represents the river flow, Q represents the lateral inflow or outflow corresponding to the unit length of the river channel reservoir, x and t represent independent space and time variables, g represents the gravity acceleration, z represents the water depth of the water cross section, n represents the roughness coefficient, R represents the hydraulic radius,;Indicating the wet week. The ecological targets of the water-wind-solar long-term optimization scheduling model considering the ecological targets are determined as follows: 1) The hydrologic variability is the smallest: ; wherein: The method comprises the steps of representing the overall hydrologic variation degree, wherein Y o,i represents the years of the observed value of the hydrologic parameter I falling in the RVA range, Y e represents the expected value of the years falling in the RVA range (taking half of the total years), and I represents the number of the hydrologic parameter. 2) The length of the river reach suitable for fish egg hatching is the largest: ; Wherein SRL represents the length of a river reach suitable for hatching of the fish eggs, and RLt represents the length of a river reach suitable for hatching of the fish eggs in the t period, and the unit is km. (2) Establishing a water-wind-solar long-term optimization scheduling model considering ecological targets, and solving through an elk optimization algorithm In the step (1), the ecological targets are extracted by establishing the influence of the hydrologic situation change evaluated by an IHA-RVA method on fish resources and simulating hydrodynamic conditions in a river channel by a hydrodynamic model, so that two ecological targets with minimum hydrologic variation and maximum length of a suitable fish egg hatching river reach are obtained, and meanwhile, the maximum generating capacity of a water-wind-solar complementary system is used as an economic target. The maximum generated energy is: ; In the formula, For the total number of hours of the calculation period; Representing the number of power plants; the output of the wind-light power station in the t period is the output of the power plant in the t period; Indicating that the hydropower power station has the following power The electric discarding rate at the time of the process,The time period is calculated; The output of each power plant. The constraint conditions