Two-Step Multi-Objective Management of Hybrid Energy Storage System in All-Electric Ship Microgrids

Fang, Sidun; Xu, Yan; Li, Zhengmao; Zhao, Tianyang; Wang, Hongdong

doi:10.1109/tvt.2019.2898461

Cited by 128 publications

(62 citation statements)

References 33 publications

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“…Equation (13) indicates the thermal balance of the residential hot water system. Equations (14) and (15) are, respectively, the upper and lower limits of water temperature and temperature variation. Equation (16) ensures that the starting state and the final state in a typical day are the same.…”

Section: (3) Constraints Of Loadsmentioning

confidence: 99%

“…The processes of energy production, distribution, conversion and consumption are all contained. IES technology has been utilised in many different fields, such as regular energy transmission and distribution system [8][9][10], smart building [11][12][13], sailing [14], flying [15], data centre [16][17][18] and so on. Based on the geographical scope, IES can be further divided into three levels, which are, respectively, cross-region level, region level and user level.…”

Section: Introductionmentioning

confidence: 99%

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Optimal day‐ahead operation of user‐level integrated energy system considering dynamic behaviour of heat loads and customers' heat satisfaction

2019

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This study proposes a novel optimal day-ahead operation method for the user-level integrated energy system (IES), which can take into account the dynamic behaviour of heat loads and customers' heat satisfaction. First, based on the energy hub, the dynamic model of heat loads is added into IES. Additionally, the customers' heat satisfaction model is constructed by the variance of water temperature and punishment coefficient. Then, the optimal day-ahead operation model aimed at minimising the total cost is proposed. Constraints of energy purchase, operation of energy converters, loads, temperature and the variation of temperature are all contained. Piecewise linearisation and a standard modelling method are utilised to simplify the initial non-convex and non-linear problem to a quadratic programming problem. Finally, case studies are carried out on a practical calculation example. Results indicate that the total cost can be reduced by 5.6% when considering the dynamic behaviour of heat loads. Also, customers' heat satisfaction exerts a remarkable influence on the total cost.

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Section: (3) Constraints Of Loadsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal day‐ahead operation of user‐level integrated energy system considering dynamic behaviour of heat loads and customers' heat satisfaction

2019

Self Cite

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“…Compared with the various researches on hybrid microgrids land-based, it seems insufficient for investigations on optimizing microgrid of shipboards. In [23], the authors hybridized two types of energy storage systems and proposed a two-step multi-objective optimization method for optimizing the management for all-electric ships. In [24], that investigation extended the principles of optimal planning and economic dispatch problems to shipboard systems by minimizing operating costs of DGs and energy storage systems.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Economic Scheduling of a Shipboard Microgrid Based on Self-Adaptive Collective Intelligence DE Algorithm

et al. 2020

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With the growing demand for emission reductions and fuel efficiency improvements, alternative energy sources and energy storage technologies are becoming popular in a ship microgrid. In order to balance the two non-compatible objectives, a new differential evolution variant, which is named as SaCIDE-r, was proposed to solve the optimization problem. In this algorithm, a Collective Intelligence (CI) based mutation operator was proposed by mixing some promising donor vectors in the current population. Besides, a self-adaptive mechanism which was developed to avoid introducing extra control parameters. Further, to avoid being trapped in local optima, a re-initialization mechanism was developed. Then, we have evaluated the performances of the proposed SaCIDE-r approach by studying some numerical optimization problems of Congress on Evolutionary Computation (CEC) 2013 with D = 30, compared with seven stateof-the-art DE algorithms. Moreover, the proposed SaCIDE-r method was applied for economic scheduling of a shipboard microgrid under different cases compared with other multi-objective optimizing methods, resulting in very competitive performances. The comprehensive experimental results have demonstrated that the presented SaCIDE-r method might be a feasible solution for such a kind of optimization problem. INDEX TERMS Shipboard microgrid, global optimization, collective intelligence (CI), differential evolution (DE).

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“…The batteries in actual microgrids can have different capacities and SOC limits either due to the difference in installed capacity or due to the impact of ageing under repeated charging/discharging cycles [18,19]. Recently, droop control methods for batteries having different capacities were proposed for dc microgrids [20] and ac ones [21].…”

Section: Introductionmentioning

confidence: 99%

Adaptive droop control for balancing SOC of distributed batteries in DC microgrids

Belal¹,

Yehia²,

Azmy³

2019

IET Generation, Transmission & Distribution

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Two-Step Multi-Objective Management of Hybrid Energy Storage System in All-Electric Ship Microgrids

Cited by 128 publications

References 33 publications

Optimal day‐ahead operation of user‐level integrated energy system considering dynamic behaviour of heat loads and customers' heat satisfaction

Optimal day‐ahead operation of user‐level integrated energy system considering dynamic behaviour of heat loads and customers' heat satisfaction

Multi-Objective Economic Scheduling of a Shipboard Microgrid Based on Self-Adaptive Collective Intelligence DE Algorithm

Adaptive droop control for balancing SOC of distributed batteries in DC microgrids

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