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Coordination Of Optimal Power Management And Voyage Scheduling For Multi-Energy Integrated All-Electric Ships

Posted on:2022-04-29Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y Q HuangFull Text:PDF
GTID:1482306353982079Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
In order to reduce the fossil fuel exhaustion and serious air pollution,multi-energy integrated all-electric ships(AESs)integrated with renewable energy,electric propulsion system and thermal system,has become an appealing solution to bring great environmental and economic benefits.However,due to the stochastic and uncertain fluctuations caused by the ship navigation and changing environment,it is significant for AES operation to achieve a multienergy coordination under consideration of different uncertainties.This paper focuses on the multi-energy penetrated AESs and utilizes intelligent optimization methods to realize the coordination of optimal generation and voyage scheduling,which takes various uncertainties into account.The main contents of this research on the coordination of optimal generation and voyage scheduling are summarized as follows.Since the operation and navigation of AESs are influenced by the stochastic marine solar source,wind source,ship rolling and ship navigation state,this paper firstly sets up a probabilistic model for multi-energy coordinated shipboard power system.Based on the received solar irradiation,wind speed,wind direction and ship rolling angle,the ship navigation is analyzed with multi-energy system,the established model is studied for joint optimal generation and voyage scheduling.To solve the optimal generation problem of AESs,this paper explores the fluctuations of electric propulsion loads under dynamic positioning condition and utilizes the kernel density function without parameter estimation to establish an uncertainty model of electric propulsion system.Besides,a new probabilistic optimization algorithm is proposed by combining the Taguchi method and an intelligent optimization algorithm to optimize the outputs of on-board diesel generators and energy storage system,considering the uncertainties of the ship loads.Then,the cost and greenhouse gas emissions are decreased.Aiming at the problems of serious fuel consumption and emissions released by AESs,this paper investigates the complementary operation of multi energy network of AESs,and the collaborative optimization of power generation and voyage.Based on the previous research of the probabilistic generation optimization,the thermal system and voyage scheduling are introduced in the AES to study the cooperative operation mechanism.With the help of the intelligent optimization method,the thermal load demand and ship speed are optimized to realize the joint generation and voyage scheduling.Accordingly,the proposed method can guarantee the punctual arrival time,enhance the economy and reduce the carbon emissions.Based on the joint optimization of power generation and voyage of all electric ships under consideration of the thermal-electric coupling,this paper introduces the renewable energy generation technology into an AES,which is composed of renewable generation system,diesel generation system,energy storage system and thermal system.Due to the influence of many uncertain factors caused by the AES navigation,these uncertain variables including solar radiation,ship sailing resistance and ship rolling angle are considered and discretized.Furthermore,the joint generation and voyage scheduling are optimized by the proposed probabilistic optimization algorithm to improve the energy efficiency and reduce the navigation time.Through the comparative analysis of different cases,it is demonstrated that the coordinated optimization theory of power generation and voyage of all electric ships with multi-energy complementary can change the single energy supply mode of traditional ships,so as to solve the operation problems of multi-variable coupling,multi-dimensional space-time and strong randomness of shipboard power system.Moreover,it is verified that the probabilistic optimization method combining the Taguchi method and the intelligent optimization algorithm can realize the coordinated operation of comprehensive multi-energy flow,improve the navigation efficiency and energy utilization of AESs,and makes AESs sail safely,environmentally friendly and economically.The proposed method in this paper will help to enrich the theory and technology system of comprehensive energy optimization for all electric ships,and thus promote the development strategy of Chinese maritime power.
Keywords/Search Tags:All-electric ship, multi-energy integrated, virtual energy storage, Taguchi method, multi-objective particle swarm optimization algorithm
PDF Full Text Request
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