Optimal Power Management With GHG Emissions Limitation in All-Electric Ship Power Systems Comprising Energy Storage Systems

Kanellos, Fotios D.

doi:10.1109/tpwrs.2013.2280064

Cited by 205 publications

(119 citation statements)

References 9 publications

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“…Many efforts have been devoted to study the fault management of SPS [2]- [8], [10]- [18]. In the transient-time scale, their main objective is to maximize the weighted sum of restored loads [2]- [7], [11]- [13].…”

Section: B Literature Reviewmentioning

confidence: 99%

Optimal Power Management for Failure Mode of MVDC Microgrids in All-Electric Ships

Han

Yuan

et al. 2019

IEEE Trans. Power Syst.

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Optimal power management of shipboard power system for failure mode (OPMSF) is a significant and challenging problem considering the safety of system and person. Many existing works focused on the transient-time recovery without consideration of the operating cost and the voyage plan. In this paper, the OPMSF problem is formulated considering the mid-time scheduling and the faults at bus and generator. Twoside adjustment methods including the load shedding and the reconfiguration are coordinated for reducing the fault effects. To address the formulated non-convex problem, the travel equality constraint and fractional energy efficiency operation indicator (EEOI) limitation are transformed into the convex forms. Then, considering the infeasibility scenario affected by faults, a further relaxation is adopted to formulate a new problem with feasibility guaranteed. Furthermore, a sufficient condition is derived to ensure that the new problem has the same optimal solution as the original one. Because of the mixed-integer nonlinear feature, an optimal management algorithm based on Benders decomposition (BD) is developed to solve the new one. Due to the slow convergence caused by the time-coupled constraints, a low-complexity near-optimal algorithm based on BD (LNBD) is proposed. The results verify the effectivity of the proposed methods and algorithms.

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Section: B Literature Reviewmentioning

confidence: 99%

Optimal Power Management for Failure Mode of MVDC Microgrids in All-Electric Ships

Han

Yuan

et al. 2019

IEEE Trans. Power Syst.

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“…With regard to a shipboard PMS design and control, extensive research works have been initiated recently and many researchers around the world have elaborated on the issues involved [8][9][10][11][12][13][14][15][16][17][18][19][20]. For example, in [8] the economic operation of a vessel equipped with PVs and ESSs is studied for different power supply architectures, and analytic formulas are reported for calculating the system marginal cost, taking into account the energy and power balances for a given time period.…”

Section: Introductionmentioning

confidence: 99%

“…Although the proposed method could effectively operate the system close to its optimal condition, the computational efficiency of the algorithm in terms of run-time is not satisfactory. Other power management strategies for shipboard systems are also outlined in related literature using mathematical programming [14][15][16][17][18][19], agent-based approaches [20][21][22], and hierarchical control methodologies [23].…”

Section: Introductionmentioning

confidence: 99%

Smart Shipboard Power System Operation and Management

2016

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During recent years, optimal electrification of isolated offshore systems has become increasingly important and received extensive attention from the maritime industry. Especially with the introduction of electric propulsion, which has led to a total electrification of shipboard power systems known as all-electric ships (AESs), the need for more cost-effective and emission-aware solutions is augmented. Such onboard systems are prone to sudden load variations due to the changing weather conditions as well as mission profile, thus they require effective power management systems (PMSs) to operate optimally under different working conditions. In this paper, coordinated optimal power management at the supply/demand side of a given AES is studied with regard to different objectives and related technical/environmental constraints. The optimal power management problem is formulated as a mixed-integer nonlinear programming (MINLP) model and is solved using a metaheuristic algorithm. To show the effectiveness and applicability of the proposed PMS, several test scenarios are implemented and related simulation results are analyzed and compared to those from conventional methods.

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“…As the awareness of Green House Gases (GHG) increased, the shift towards more environmental friendly transportation such as Electric Vehicle (EV) and Plugged-in Hybrid electric Vehicle (PHEV) have gained rapid momentum [1,2]. Particularly, the newly announced National Automotive Plan (NAP) of Malaysia has highlighted to develop its nation into as the regional automotive hub in energy efficient vehicles (EEV) [3].…”

Section: Introductionmentioning

confidence: 99%

Impact of Electric Vehicle's integration into the economic VAr dispatch algorithm

Zeynal

Jiazhen

Azzopardi

et al. 2014

2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

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High penetration of Electric Vehicles (EV) into power grids can enforce major challenges on efficient operation of the system. The solution process of Optimal Reactive Power Dispatch (VAr) which allocates the generator outputs can be either exacerbated or improved.The conventional VAr algorithm is thus reformulated, encompassing EV's operational constraints. As a result, VAr-EV optimization algorithm builds up that minimizes total dispatch costs while taking into account a plethora of system-wise, unit-wise and spatial constraints for a daily operation. Simulation results exhibited that the proposed VAr-EV effectively improves the total dispatch costs and an efficient use of generation sources. However, it can be done by propitious shifts in generation plan from peak to off-peak hours as well as the EV dual operational mode (charging/discharging) advantages. Further, the obtained results represents that employing Newton Raphson (NR) load flow calculation instead of approximated loss techniques can procure an accurate and precise solution, which can also offer a close observation on system status following small breezes in operation. Based on the results, the integration of the EVs into the grid can immensely enhance the socio and techno-economic aspects of the system operation.

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Optimal Power Management With GHG Emissions Limitation in All-Electric Ship Power Systems Comprising Energy Storage Systems

Cited by 205 publications

References 9 publications

Optimal Power Management for Failure Mode of MVDC Microgrids in All-Electric Ships

Optimal Power Management for Failure Mode of MVDC Microgrids in All-Electric Ships

Smart Shipboard Power System Operation and Management

Impact of Electric Vehicle's integration into the economic VAr dispatch algorithm

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