Equivalent Consumption Minimization Strategy for Full-Electric Ship Energy Management with Multiple Objectives

Charlotte L ̈offler, R. Geertsma, Despoina Mitropoulou, Henk Polinder, Andrea Coraddu
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Abstract

Optimal energy management is still a challenge in full-electric vessels. New degrees of flexibility in the energy management resulting from the load sharing between multiple, heterogenous power sources lead to a suboptimal solution using rule-based control. Therefore, advanced control strategies present a solution to the challenge of finding the optimal control input for a nonlinear multi-objective power and energy problem in sufficient time. As additional benefit, advanced control allows to incorporate multiple objectives in the optimization such as minimization of several emissions, operational costs, and component degradation. Equivalent Consumption Minimization Strategy (ECMS) is a strategy for instantaneous optimization, which is promising for applications in vessels with a high degree of uncertainty in the load profile. It incorporates multiple objectives by assigning equivalent cost factors in the cost function, allowing a flexible expansion of the control problem. In this paper, we present a novel ECMS-based control strategy for a full-electric vessel with the ability to react flexibly to changing mission conditions. First, we define the objectives for the control problem, in this study \ce{CO2} production, hazardous emission production, fuel consumption, energy cost, and the degradation of the battery. Second, we develop a pareto-front approach for a-posteriori definition of the equivalent cost factors. To showcase energy consumption reduction, we use a benchmark control based on state-of-the-art control strategies. A full-electric case study vessel with high uncertainty in the load profile is chosen to evaluate the proposed controller. Several different load profiles are generated and tested to evaluate the performance of the ECMS controller in dealing with different types of loads. The results will demonstrate the effectiveness of the proposed novel control strategy in reducing energy consumption while minimizing other hazardous emission outputs and preserving the health of the battery.
多目标全电动船舶能源管理的等效消耗最小化策略
优化能源管理仍然是全电力船舶面临的一项挑战。多种异质电源之间的负载分担导致能源管理具有新的灵活性,从而导致使用基于规则的控制方法无法获得最佳解决方案。因此,先进的控制策略为在足够的时间内找到非线性多目标电力和能源问题的最佳控制输入提供了解决方案。作为额外的优势,先进控制还能将多个目标纳入优化过程,如最大限度地减少排放、运营成本和组件退化。等效消耗最小化策略(ECMS)是一种用于瞬时优化的策略,非常适合应用于负载情况高度不确定的船舶。它通过在成本函数中分配等效成本因子,将多个目标结合在一起,从而灵活地扩展了控制问题。在本文中,我们提出了一种基于 ECMS 的新型全电力船舶控制策略,能够对不断变化的任务条件做出灵活反应。首先,我们定义了控制问题的目标,在本研究中包括二氧化碳产量、有害排放物产量、燃料消耗、能源成本和电池衰减。其次,我们开发了一种帕累托前沿方法,用于事后定义等效成本因素。为了展示能耗降低情况,我们使用了基于最先进控制策略的基准控制。为评估所提出的控制器,我们选择了一艘负载曲线不确定性较高的全电力案例研究船。我们生成并测试了几种不同的负载曲线,以评估 ECMS 控制器在处理不同类型负载时的性能。结果将证明所提出的新型控制策略在降低能耗、减少其他有害排放物输出和保护电池健康方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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