Improved NSGA-II-based hybrid ship multi-objective energy optimization method

A technology of energy optimization and hybrid power, applied in the direction of electric vehicles, single-network parallel feeding arrangements, electrical components, etc., can solve the problems that cannot reflect the true characteristics of the target

Pending Publication Date: 2018-09-04
SHANGHAI MARITIME UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the dimensions of multiple objective functions of the hybrid system are different, and there is a coupling effect between each parameter, the multi-objective single-objective cannot reflect the true characteristics of each objective.

Method used

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  • Improved NSGA-II-based hybrid ship multi-objective energy optimization method
  • Improved NSGA-II-based hybrid ship multi-objective energy optimization method
  • Improved NSGA-II-based hybrid ship multi-objective energy optimization method

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Experimental program
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Embodiment Construction

[0066] Step 1. Establish fuel consumption model of diesel generator set

[0067] suppose as figure 1 The hybrid ship with the structure shown has N groups of diesel engines, so the fuel consumption of N groups of diesel engines in the duration period [0, T] is

[0068]

[0069] where W i f (k) is the fuel consumption rate of the i-th diesel engine at time k, and Δt is a constant sampling time. From the typical diesel generator fuel consumption curve, the fuel consumption rate of the diesel engine has a quadratic output power, then

[0070] W i f =a i (P i E ) 2 +b i P i E +c i (2)

[0071] where P i E is the output power of the i-th group of diesel engines, a i , b i and c i are constants, and these constants can be obtained from the fuel consumption rate curve of the diesel engine, since c i is a constant, it is in the objective function Q Fuel can be ignored, therefore, the fuel consumption in the time period [0, T] can be written as

[0072]

[0...

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Abstract

The invention provides an improved NSGA-II-based hybrid ship multi-objective energy optimization method. Through building a diesel generating set fuel consumption model, a diesel generating set pollutant emission model and an endurance capability model of the hybrid ship, a joint objective function and corresponding constraint conditions are given, and finally, through an improved NSGA-II algorithm, solution of the objective function is carried out, and an output power solution set for the diesel generating set and a battery pack in best response to the power demand for ship operation is obtained.

Description

technical field [0001] The invention relates to the field of energy optimization of hybrid ships, in particular to a multi-objective energy optimization method for hybrid ships based on improved NSGA-II. Background technique [0002] The key technology of the hybrid ship is its energy optimization method. The purpose is to rationally distribute and coordinate the control of various energy sources under the premise of satisfying the ship's dynamic performance, so that each component can operate efficiently. At present, the common energy optimization methods for hybrid ships at home and abroad mainly include rule-based control methods, including deterministic rule-based control and fuzzy logic control, optimization-based control includes global optimization control and instantaneous optimization control, and intelligent methods. , such as neural network model control, strategies based on genetic algorithms or optimal control algorithms, dynamic programming, etc. The energy op...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J7/34H02J3/38H02J3/46
CPCH02J3/381H02J3/46H02J7/34H02J2203/20
Inventor 张伟高迪驹刘志全潘海邦
Owner SHANGHAI MARITIME UNIVERSITY
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