Coordinated AC/DC microgrid optimal scheduling

Alanazi, Abdulaziz; Lotfi, Hossein; Khodaei, Amin

doi:10.1109/naps.2017.8107310

Cited by 8 publications

(3 citation statements)

References 15 publications

(24 reference statements)

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“…Nevertheless, weak transient performance, absence of steadiness and absence of dark begin capacity are the primary confinements of these controllers (Geramifar et al, 2017). The control strategies of fuzzy-logic-based controllers (Alanazi et al, 2017; Farzin et al, 2017b; Su et al, 2014; Zakariazadeh et al, 2014), are actualized to overcome the detention. Nevertheless, the above methods may not achieve the best quality and minimal consistent state following errors (Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: An efficient modified dragonfly algorithm and whale optimization approach for optimal scheduling of microgrid with islanding constraints

Kumari

Babu

2020

Transactions of the Institute of Measurement and Control

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This paper presented an effective technique for considering optimal scheduling of microgrid (MG) with islanding constraints. The proposed optimal scheduling approach is the combination of both the modified dragonfly algorithm (MDA) and whale optimization algorithm (WOA)-based approach named as (MDAWO). In this work, the searching conduct of the dragonflies is altered by the effective WOA approach. This WOA is used to the optimal scheduling of MG and also significantly reduces the computational burden. In this paper, the MDAWO is the appraisal technique used to set up the definite schedule of the MG coupling subject to the power assortment. The equality and inequality constraints are utilized to characterize the target capacity of a projected approach using the system information. Batteries act as an energy source to adjust the MG with continual running at an unfaltering and stable output control. Finally, the performance of the proposed technique is executed through the MATLAB/Simulink working platform with two different scenarios. With these two different scenarios, the proposed technique performance is compared with existing techniques such as dragonfly algorithm, firefly and gravitational search algorithm. Furthermore, the statistical analysis of the proposed technique based on cost and fitness are analyzed. Numerical simulations demonstrate the effectiveness of the proposed MG optimal scheduling model and explore its economic and reliability merits.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: An efficient modified dragonfly algorithm and whale optimization approach for optimal scheduling of microgrid with islanding constraints

Kumari

Babu

2020

Transactions of the Institute of Measurement and Control

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“…It is observed that DG systems with two or more RESs present complementary nature and reduces the sizing of the energy storage elements [7]. Mostly battery banks and ultra-capacitors are integrated with microgrid as energy storage system (ESS) and ensure the steady flow of power [8,9].…”

Section: Introductionmentioning

confidence: 99%

Barrier Function Based Adaptive Sliding Mode Controller for a Hybrid AC/DC Microgrid Involving Multiple Renewables

et al. 2021

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Conventional electricity generation methods are under the major revolution, and microgrids established on renewable energy sources are playing a vital role in this power generation transformation. This study proposes a hybrid AC/DC microgrid with a barrier function-based adaptive sliding mode controller, in which 8 kW wind energy system and 4.5 kW photovoltaic energy system perform as the hybrid RESs, and 33 Ah of battery works as the energy storage system. Barrier function-based adaptive sliding mode controller ensures the convergence of the system’s output variable independent of the knowledge of the upper bound of the disturbances. Firstly, global mathematical modeling of the suggested system is ensured. Then, the control laws are defined, providing the DC bus voltage regulation during islanding mode and AC/DC link bus voltage regulation during the grid-connected mode. The proposed barrier function-based adaptive sliding mode controller technique is analyzed through 20 s simulations on MATLAB/Simulink, which validates the controller’s robustness and effectiveness. Furthermore, a comparison of the proposed controller is made with the proportional integral derivative controller, Lyapunov controller, and sliding mode controller. In the end, hardware-in-loop tests are performed using C2000 Delfino MCU F28379D LaunchPad, showing the proposed structure’s real-time performance.

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“…By analyzing energy efficiency and cost effectiveness of a renewable integrated network, a distribution planning strategy for a hybrid AC/DC system is performed in [7]. An optimal scheduling for a hybrid AC/DC microgrid is proposed in [8] in order to minimize the operation cost of the network. In this paper, the concept of multiple energy carrier hybrid AC/DC microgrid is presented.…”

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confidence: 99%

Short-term Operational Planning Problem of the Multiple-Energy Carrier Hybrid AC/DC Microgrids

Bayani

Bushlaibi

Manshadi

2021

2021 IEEE Power &Amp; Energy Society General Meeting (PESGM)

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In this paper, the short-term operation problem for a multiple energy carrier hybrid AC/DC microgrid is discussed. The hybrid microgrid consists of AC and DC parts, which are connected by means of inverters as well as natural gas network. The microgrid includes photovoltaic (PV) unit, wind turbine (WT), battery storage unit and gas-fired microturbines. A mixed integer linear programming is formed to minimize the overall cost of the microgrid including cost of natural gas supply, the value of lost load and battery degradation cost. The presented case study explored the importance of inverter characteristics and pipeline capacity.Index Terms-hybrid AC/DC microgrid, natural gas network, multiple-energy carrier, battery degradation NOMENCLATURE Variables E Available energy of battery storage unit f, π, v Natural gas flow/pressure/supplier output P, Q Active/Reactive power dispatch P L, QL, SL Active/Reactive/Apparent power of line V, θ Voltage magnitude and angle Indices c Inverter ch, dc Charge/Discharge of the battery d Demand served F Forecast value of renewable unit output g, gs Microturbine/Supplier j, o, m, n Energy hub k Battery unit p Natural gas pipe s, w Solar/Wind turbine unit t Time

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Coordinated AC/DC microgrid optimal scheduling

Cited by 8 publications

References 15 publications

RETRACTED: An efficient modified dragonfly algorithm and whale optimization approach for optimal scheduling of microgrid with islanding constraints

RETRACTED: An efficient modified dragonfly algorithm and whale optimization approach for optimal scheduling of microgrid with islanding constraints

Barrier Function Based Adaptive Sliding Mode Controller for a Hybrid AC/DC Microgrid Involving Multiple Renewables

Short-term Operational Planning Problem of the Multiple-Energy Carrier Hybrid AC/DC Microgrids

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