Optimal Energy Storage Sizing and Siting in Hybrid AC/DC Microgrids

Alanazi, Abdulaziz; Lotfi, Hossein; Khodaei, Amin

doi:10.1109/naps.2018.8600638

Cited by 10 publications

(5 citation statements)

References 18 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

343

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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

343

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“…This paper also considered the forced outage rates of solar, wind and utilization factor of battery energy storage systems to make the design more realistic. [20] determined the energy sources unit location and optimal power of a hybrid AC/DC system by formulating as a mixed-integer linear programming and solved by using CPLEX optimization studio includes total cost minimization. The proposed work in [21] determines not only the optimal configuration of renewable sources but also the power electronic converters needed in the hybrid microgrid.…”

Section: Optimal Sizing Methodsmentioning

confidence: 99%

A Review on Hybrid Ac/Dc Microgrids: Optimal Sizing, Stability Control and Energy Management Approaches

2020

jcr

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Electricity is the greatest gift of science to humanity reached for civilization where electricity is used for all purposes. However, in recent times a paradigm shift is evolving in the generation of electrical energy from the concept of using major generating plants to minor generating units allied to the distribution systems in the form of microgrids with alternative energy sources called renewables. Around the world renewable energy use is on the rise and these alternate energy sources can generate pollution-free electrical energy to the society. Although these are new centers and units with diminishing cost, there are still many challenges in operation and control of islanded and grid-connected microgrids configured in both AC and DC. Uniting the benefits of microgrids of AC and DC, Hybrid AC-DC Microgrids (HACDC) were developed.Thus, it is relatively imperative to investigate the optimal size, stability control, and strategies of economic efficiency operation of HACDC microgrid. Hence a great review on optimal sizing methods, stability control, and energy management strategies using various iterative and intelligence techniques published in different articles proposed by many authors were presented in this paper.

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“…There have been several studies reported in the open literature regarding the sizing and siting of DGs for achieving multiple objectives in ac power systems, [12,13] as well as in dc MGs [5,[14][15][16][17][18][19][20][21], while some examples of actual experimental dc MGs can be found in [22][23][24][25][26][27]. The sizing of various components of solar-based dc MGs was studied in [15,16], in which a framework was proposed for the optimal size selection of photovoltaic panels, energy storage devices, and conductors.…”

Section: Literature Review and Research Gapsmentioning

confidence: 99%

“…A comprehensive MG planning methodology was proposed in [25], where the problem of sizing and placement of photovoltaic arrays and ESSs is solved for a rural area in Cambodia. The sizing and siting of ESSs in hybrid ac/dc microgrids was studied in [26], where the MILP approach is used to reduce the total operation cost of the system for different scenarios. The simultaneous sizing and siting of the DGs has also been studied in [20,21], using various methods and under different objectives.…”

Section: Literature Review and Research Gapsmentioning

confidence: 99%

Optimal Generation Capacity Allocation and Droop Control Design for Current Sharing in DC Microgrids

2023

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Considering the increasing amounts of renewable energy generation and energy storage required to meet ambitious environmental goals, it is clear that the next generation of power grids will be dominated by converter-connected devices. In addition, the increasing share of loads connected via power electronics and the general transition to non-synchronous grids with distributed generators make dc microgrids an attractive future alternative. However, achieving optimal utilization of distributed generators in such cases is a complex task, as the performance depends on both the grid and control design. In this paper, we consider such a case where the optimal utilization of distributed generators is achieved by optimal power sharing while taking into account the grid topology, the available generators, and the way they are controlled. For the latter, we consider a droop-based decentralized control scheme whose primary objective is to achieve voltage regulation in the allowable operating range. A novel mixed-integer optimization approach is proposed to identify the optimal converter size and location in the network so that the microgrid can operate safely and with optimal use of the available resources. Time-domain simulations are used to validate the proposed approach and demonstrate its robustness to uncertainty in generator availability.

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Optimal Energy Storage Sizing and Siting in Hybrid AC/DC Microgrids

Cited by 10 publications

References 18 publications

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

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

A Review on Hybrid Ac/Dc Microgrids: Optimal Sizing, Stability Control and Energy Management Approaches

Optimal Generation Capacity Allocation and Droop Control Design for Current Sharing in DC Microgrids

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