CN-121980788-A - Marine energy device layout optimization method and device

CN121980788ACN 121980788 ACN121980788 ACN 121980788ACN-121980788-A

Abstract

The invention discloses a layout optimization method and device of an offshore energy device, and belongs to the technical field of offshore power generation, wherein the method comprises the steps of obtaining wind wave flow parameters of a target sea area, and equipment parameters, cost parameters, a historical displacement data set and historical wind wave flow data of a plurality of target energy devices; the method comprises the steps of carrying out wind-wave-flow coupling motion simulation based on historical wind-wave-flow data and equipment parameters to obtain simulated horizontal displacement data of each target energy device, carrying out feature statistical analysis on the simulated horizontal displacement data and a historical displacement data set to construct a displacement uncertainty boundary, constructing a fan wave energy joint optimization model based on cost parameters and wind-wave-flow parameters with the design cost of the offshore energy device minimized as a target, solving the fan wave energy joint optimization model by combining the displacement uncertainty boundary, and determining the design of each target energy device in a target sea area. Therefore, the invention can solve the problem of low output power of the offshore energy device in the prior art.

Inventors

LAN TIAN
ZHAO RUIFENG
LI HAOBIN
LI QIAN
WANG CHEN
YU ZHENFAN
Wu longteng

Assignees

广东电网有限责任公司电力调度控制中心

Dates

Publication Date: 20260505
Application Date: 20260122

Claims (10)

1. An offshore energy device layout optimization method, comprising: acquiring wind wave flow parameters of a target sea area, equipment parameters, cost parameters, a historical displacement data set and corresponding historical wind wave flow data of a plurality of target energy devices; based on the historical wind wave flow data and the equipment parameters, wind wave flow coupling motion simulation is respectively carried out on each target energy device, and simulation horizontal displacement data of each target energy device are obtained; performing feature statistical analysis on the simulated horizontal displacement data and the historical displacement data set to construct a displacement uncertainty boundary; Constructing a fan wave energy joint optimization model based on the cost parameter and the wind wave flow parameter by taking the layout cost of the offshore energy device as a target; and solving the fan wave energy joint optimization model by combining the displacement uncertainty boundary, and determining the layout of each target energy device in a target sea area.
2. The method for optimizing a layout of an offshore energy device according to claim 1, wherein the step of performing a wind-wave-current coupled motion simulation on each of the target energy devices based on the historical wind-wave-current data and the equipment parameters to obtain simulated horizontal displacement data of each of the target energy devices, respectively, comprises: Performing power analysis based on the historical wind wave flow data and the equipment parameters, and calculating a plurality of load data of the target energy device; And solving a preset motion response model of the target energy device based on each load data to obtain simulation horizontal displacement data.
3. The method for optimizing a layout of an offshore energy device according to claim 2, wherein when the target energy device is a fan, the power analysis is performed based on the historical wind wave flow data and the equipment parameter, and a plurality of load data of the target energy device are calculated, including: Calculating aerodynamic load according to historical wind speed, historical wind direction, historical wind shear index, historical turbulence intensity, number of blades, length of the blades, rotating speed of the impeller and pitch angle by adopting a phyllotoxin momentum theory; calculating the sea wave load according to the historical effective wave height, the historical wave period, the historical wave direction, the historical wave propagation speed, the diameter of the stay rod, the wet surface area and the moment of inertia by adopting Morison equation; calculating the ocean current load according to the historical flow velocity, the historical flow direction, the historical sea water density and the incident flow projection area by adopting a flow coefficient method; calculating mooring restoring force according to historical sea water density, mooring rope length, mooring rope unit length weight, mooring rope elastic modulus and mooring rope cross section area by adopting a catenary theory; When the target energy device is a wave energy device, performing power analysis based on the historical wind and wave flow data and the equipment parameter, and calculating a plurality of load data of the target energy device, wherein the load data comprises: calculating hydrodynamic load according to the historical wave height, the historical wave period, the historical wave direction angle, the historical water depth, the historical sea water density, the device cavity size, the device draft, the device wet surface shape and area and the device gravity center by adopting a linear potential flow theory; Calculating a mooring load according to the historical flow rate, the historical flow direction, the length of a mooring rope, the diameter of the mooring rope, the mooring elastic modulus, the mooring breaking strength, the weight of the mooring unit length, the position of a mooring point and the coordinates of a submarine anchor point by adopting a dynamic centralized mass method; And calculating the acting force of the PTO pump according to the spring stiffness coefficient, the damping coefficient, the device piston movement speed and the device piston movement displacement by adopting a spring-damping system model.
4. The marine energy device layout optimization method of claim 3, wherein when the target energy device is a fan, the preset motion response model is: In the formula, Is a fan quality matrix; Is a damping parameter matrix of the fan; Recovering a matrix for the fan; the pneumatic load of the fan in the transverse direction is set; The pneumatic load of the fan in the longitudinal direction is set; ocean current load of the fan in the transverse direction; the ocean current load of the fan in the longitudinal direction; mooring restoring force of the fan in the transverse direction; mooring restoring force of the fan in the longitudinal direction; The wind turbine is transversely loaded by sea waves; the sea wave load of the fan in the longitudinal direction; The horizontal displacement of the fan is realized; the guide is the primary guide of the transverse horizontal displacement of the fan; the secondary guide of the horizontal displacement of the fan; the fan is longitudinally and horizontally displaced; the guide is a primary guide for longitudinal horizontal displacement of the fan; the secondary guide for the longitudinal horizontal displacement of the fan; when the target energy device is a wave energy device, the preset motion response model is: In the formula, Is a wave energy device quality matrix; Damping parameter matrixes of the wave energy devices; Recovering a matrix for the wave energy device; hydrodynamic load of the wave energy device in the transverse direction; is the hydrodynamic load of the wave energy device in the longitudinal direction; Mooring a load in a transverse direction for a wave energy device; Mooring load of the wave energy device in the longitudinal direction; Pumping acting force for the wave energy device; the wave energy device is horizontally displaced transversely; The device is used for guiding the transverse horizontal displacement of the wave energy device once; The device is a secondary guide of the transverse horizontal displacement of the wave energy device; Is the longitudinal horizontal displacement of the wave energy device; The device is a primary guide of longitudinal horizontal displacement of the wave energy device; Is a secondary guide of the longitudinal horizontal displacement of the wave energy device.
5. The marine energy device layout optimization method of claim 1, wherein the performing feature statistical analysis on the simulated horizontal displacement data and the historical displacement dataset to construct a displacement uncertainty boundary comprises: generating a displacement scatter data set of the target energy device based on a plurality of simulated horizontal displacements in the simulated horizontal displacement data; Performing probability density fitting processing on the displacement scattered point data set by using a kernel density estimation method to obtain empirical probability distribution; carrying out statistical analysis on all the historical displacement data in the historical displacement data set to obtain sample size, confidence level and true probability distribution; measuring probability distribution distances between each empirical probability distribution and the true probability distribution respectively by using Wasserstein distances; calculating a distance threshold based on the sample size and the confidence level; summarizing empirical probability distribution with the probability distribution distance not larger than the distance threshold value, and constructing a displacement fuzzy set; And carrying out quantitative analysis on the displacement fuzzy set to construct a displacement uncertainty boundary.
6. The method for optimizing a layout of an offshore energy device according to claim 1, wherein the constructing a fan wave energy joint optimization model based on the cost parameter and the wind wave flow parameter with the goal of minimizing a layout cost of the offshore energy device comprises: Constructing a fixed electric cost function of each target energy device based on the cost parameters; constructing displacement influence electric cost functions of all target energy devices based on the wind wave flow parameters; and constructing a combined cost function by taking the minimum layout cost of the offshore energy device as a target to obtain the fan wave energy combined optimization model by combining the fixed degree electric cost function and the displacement influence electric cost function.
7. The method of claim 6, wherein solving the fan wave energy joint optimization model in combination with the displacement uncertainty boundary determines a layout of each target energy device in a target sea area, comprising: under the constraint of the displacement uncertainty boundary, combining the wind wave flow parameters to calculate the interaction effect between devices so as to obtain corrected wind wave flow parameters; updating displacement according to the modified wind wave current parameters to influence the electric cost; updating a combined cost value of a fan wave energy combined optimization model based on the displacement influence thermoelectric cost; And when the fan wave energy combined optimization model is determined to be converged based on the combined cost value, determining the coordinate position of each target energy device.
8. The method for optimizing the layout of an offshore energy device according to claim 7, wherein when the target energy device is a fan, the calculating the device-to-device interaction effect by combining the wind wave flow parameters under the constraint of the displacement uncertainty boundary to obtain the corrected wind wave flow parameters comprises: Under the constraint of the displacement uncertainty boundary, the horizontal displacement of the fan is determined by combining the cut-in wind speed, the cut-out wind speed, the air density, the effective wind speed and the sea surface roughness coefficient; updating the dynamic distance between fans based on the horizontal displacement; and correcting the effective wind speed based on the dynamic distance between fans and a preset tail flow reduction coefficient to obtain corrected wind wave flow parameters.
9. The method for optimizing a layout of an offshore energy device according to claim 7, wherein when the target energy device is a wave energy device, the calculating the device-to-device interaction effect by combining the wind wave flow parameters under the constraint of the displacement uncertainty boundary to obtain the corrected wind wave flow parameters comprises: Under the constraint of the displacement uncertainty boundary, determining the horizontal displacement of the wave energy device by combining the sea water density, the wave energy period and the effective wave height; updating the horizontal distance between the wave energy device and a downstream fan based on the horizontal displacement; and correcting the effective wave height based on the horizontal distance and a preset masking efficiency coefficient to obtain a corrected wind wave flow parameter.
10. The marine energy device layout optimization device is characterized by comprising a parameter acquisition module, a motion simulation module, a displacement boundary determination module and a model optimization module; The parameter acquisition module is used for acquiring wind wave flow parameters of a target sea area, equipment parameters, cost parameters, a historical displacement data set and corresponding historical wind wave flow data of a plurality of target energy devices; The motion simulation module is used for respectively carrying out wind wave and current coupling motion simulation on each target energy device based on the historical wind wave and current data and the equipment parameters to obtain simulation horizontal displacement data of each target energy device; The displacement boundary determining module is used for carrying out characteristic statistical analysis on the simulated horizontal displacement data and the historical displacement data set to construct a displacement uncertainty boundary; The model optimization module is used for constructing a fan wave energy joint optimization model based on the cost parameter and the wind wave flow parameter by taking the layout cost of the offshore energy device as a target, solving the fan wave energy joint optimization model by combining the displacement uncertainty boundary, and determining the layout of each target energy device in a target sea area.

Description

Marine energy device layout optimization method and device Technical Field The invention relates to the technical field of offshore power generation, in particular to a layout optimization method and device for an offshore energy device. Background Under the global energy clean low-carbon transformation background, offshore fixed wind power resource development tends to be saturated, deep-open sea floating wind power and wave energy co-farm combined development is superior in wind energy and wave energy resource endowment, sea space and electricity collection and transmission facilities can be shared, cost is reduced, and meanwhile, the wave energy device can weaken impact of waves on a fan through a masking effect, so that the device becomes an important direction of deep-open sea renewable energy development. However, wind, wave and current multi-field coupling load in deep open sea can cause horizontal random displacement between the floating fan and the wave energy device, so that dynamic interval change between the devices is caused, and the fan wake effect superposition is aggravated, and the wave energy masking effect is unstable. The existing layout method of the offshore energy device does not consider the influence caused by the horizontal random displacement of the energy device, the displacement uncertainty can reduce the output power of offshore power generation and increase the fatigue load of the power generation device, and the economy of the residual power generation is influenced. Disclosure of Invention The invention provides a layout optimization method and device for an offshore energy device, which can solve the problem of low output power of the offshore energy device in the prior art. In order to solve the technical problems, the invention provides a layout optimization method of an offshore energy device, comprising the following steps: acquiring wind wave flow parameters of a target sea area, equipment parameters, cost parameters, a historical displacement data set and corresponding historical wind wave flow data of a plurality of target energy devices; based on the historical wind wave flow data and the equipment parameters, wind wave flow coupling motion simulation is respectively carried out on each target energy device, and simulation horizontal displacement data of each target energy device are obtained; performing feature statistical analysis on the simulated horizontal displacement data and the historical displacement data set to construct a displacement uncertainty boundary; Constructing a fan wave energy joint optimization model based on the cost parameter and the wind wave flow parameter by taking the layout cost of the offshore energy device as a target; and solving the fan wave energy joint optimization model by combining the displacement uncertainty boundary, and determining the layout of each target energy device in a target sea area. As a preferred solution, based on the historical wind-wave-current data and the equipment parameters, wind-wave-current coupled motion simulation is performed on each target energy device, so as to obtain simulated horizontal displacement data of each target energy device, including: Performing power analysis based on the historical wind wave flow data and the equipment parameters, and calculating a plurality of load data of the target energy device; And solving a preset motion response model of the target energy device based on each load data to obtain simulation horizontal displacement data. Preferably, when the target energy device is a fan, the power analysis is performed based on the historical wind wave flow data and the equipment parameter, and a plurality of load data of the target energy device are calculated, including: Calculating aerodynamic load according to historical wind speed, historical wind direction, historical wind shear index, historical turbulence intensity, number of blades, length of the blades, rotating speed of the impeller and pitch angle by adopting a phyllotoxin momentum theory; calculating the sea wave load according to the historical effective wave height, the historical wave period, the historical wave direction, the historical wave propagation speed, the diameter of the stay rod, the wet surface area and the moment of inertia by adopting Morison equation; calculating the ocean current load according to the historical flow velocity, the historical flow direction, the historical sea water density and the incident flow projection area by adopting a flow coefficient method; calculating mooring restoring force according to historical sea water density, mooring rope length, mooring rope unit length weight, mooring rope elastic modulus and mooring rope cross section area by adopting a catenary theory; When the target energy device is a wave energy device, performing power analysis based on the historical wind and wave flow data and the equipment parameter, and calculating a plurality of load data of the target