Optimal sizing of distributed generations in a connected DC micro-grid with hybrid energy storage system

Meng, Nina; Wang, Panbao; Wang, Wei; Xu, Weinan

doi:10.1109/ecce.2015.7310106

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…Unlike the conventional unit commitment problem which depends on a priori information, this method is not as more suitable for practical implementation as it does not require prior RES and load information. A day ahead unit commitment operation is solved in [81] using a heuristic optimization technique to minimize the total operation cost and carbon dioxide while scheduling the [56] Battery cost minimization total energy consumption is reduced reliability is not improved load management and ESS location MILP [57]- [59] Not specified cost minimization (investment and operation) reduction in power conversion loss -DE [60], [61] battery and supercapacitor battery life cycle maximization and cost minimization the microgrids configuration is optimized SOC is not well managed Compro mise Programming (CP) [62] battery daily worth maximization and cost minimization effective sizing with minimal cost system operational requirements are not considered PSO [63]- [65] battery minimization of annualized capital cost, and operation loss of power supply probability is reduced, assumption is made based on & maintenance cost limited RES sensitive analysis [66] not specified maximization control performance and optimal node selection for ESS variation of the grid constructions minimization power losses mitigation of power and energy variation and parameters are not considered GWO [67], [68] battery minimization net present cost optimized configuration is selected -DP optimization [69] vanadium redox battery ESS cost load uncertainty improvement PQ issues are unsolved NSGA-II [70] hybrid SMES-flywheel maximize the power delivered, cost reduction and performance improvement solution procedure is minimize power fluctuation and costs time-consuming probabilistic approach [71], [72] battery investment cost minimization optimal size of battery when time-of-use sensitivity analysis with random (ToU) is used uncertainties are well handled input variables should be investigated linear programming [73] hydrogen storage cost and carbon emission minimization reduced carbon emission size of hydrogen storage is larger than battery power among different microgrids units. This approach also effectively eliminates congestion according to congestion signals by optimally scheduling different units.…”

Section: A Unit Commitmentmentioning

confidence: 99%

DC Microgrid Planning, Operation, and Control: A Comprehensive Review

Al–Ismail

2021

IEEE Access

338

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In recent years, due to the wide utilization of direct current (DC) power sources, such as solar photovoltaic (PV), fuel cells, different DC loads, high-level integration of different energy storage systems such as batteries, supercapacitors, DC microgrids have been gaining more importance. Furthermore, unlike conventional AC systems, DC microgrids do not have issues such as synchronization, harmonics, reactive power control, and frequency control. However, the incorporation of different distributed generators, such as PV, wind, fuel cell, loads, and energy storage devices in the common DC bus complicates the control of DC bus voltage as well as the power-sharing. In order to ensure the secure and safe operation of DC microgrids, different control techniques, such as centralized, decentralized, distributed, multilevel, and hierarchical control, are presented. The optimal planning of DC microgrids has an impact on operation and control algorithms; thus, coordination among them is required. A detailed review of the planning, operation, and control of DC microgrids is missing in the existing literature. Thus, this article documents developments in the planning, operation, and control of DC microgrids covered in research in the past 15 years. DC microgrid planning, operation, and control challenges and opportunities are discussed. Different planning, control, and operation methods are well documented with their advantages and disadvantages to provide an excellent foundation for industry personnel and researchers. Power-sharing and energy management operation, control, and planning issues are summarized for both grid-connected and islanded DC microgrids. Also, key research areas in DC microgrid planning, operation, and control are identified to adopt cuttingedge technologies. This review explicitly helps readers understand existing developments on DC microgrid planning, operation, and control as well as identify the need for additional research in order to further contribute to the topic. INDEX TERMS DC microgrids, renewable energy sources, batteries, supercapacitors, DC bus voltage, power management, state of charge, microgrid operation, and planning.

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Section: A Unit Commitmentmentioning

confidence: 99%

DC Microgrid Planning, Operation, and Control: A Comprehensive Review

Al–Ismail

2021

IEEE Access

338

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“…Additionally, the HESS can also be effectively utilized for peak shaving [102] and valley filling operations [103], hence improving the power quality of the RES microgrid. An evolutionary algorithm is proposed [104], for an economic optimal sizing of HESS in a grid-connected DC microgrid considering the cost of power purchase from the grid, BESS-SCSS sizing, and continuous power supply for numerous load conditions.…”

Section: Demand-generation Power Flow Managementmentioning

confidence: 99%

A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids

Khalid

2019

Energies

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This paper presents a comprehensive categorical review of the recent advances and past research development of the hybrid storage paradigm over the last two decades. The main intent of the study is to provide an application-focused survey where every category and sub-category herein is thoroughly and independently investigated. Implementation of energy storage systems is one of the most interestingly effective options for further progression in the field of alternative energy technology. Apart from a meticulous garnering of the energy resources regulated by the energy storage, the main concern is to optimize the characteristic integrity of the storage devices to achieve a practically techno-economic size and operation. In this paper, hybrid energy storage consisting of batteries and supercapacitors is studied. The fact that the characteristic of batteries is mostly complementary to that of supercapacitors, hybridizing these storage systems enhances their scope of application in various fields. Therefore, the objective of this paper is to present an inclusive review of these applications. Specifically, the application domain includes: (1) regulation of renewable energy sources, (2) contributions to grid regulation (voltage and frequency compensation, contribution to power system inertia), (3) energy storage enhancements (life cycle improvement, and size reduction), (4) regenerative braking in electric vehicles, (5) improvement in wireless power transfer technology. Further, this review also descriptively highlights the control strategies implemented in these domains of applications. The application-oriented review explicates the principle advantages with the hybridization of battery and supercapacitor energy storage systems that can be used as an insight for further development in the field of energy storage technology and its applications. Power Ratings (MW) 0-0.03 [12,13] 0-20 [12,13] 0-0.01 [12,13] 0.05-8 [12,13] 0.03-3 [12,13] 0-0.3 [12] 50 [13] Energy Density, Wh/L

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