Robust Optimal Power Management System for a Hybrid AC/DC Micro-Grid

Hosseinzadeh, Mehdi; Salmasi, Farzad Rajaei

doi:10.1109/tste.2015.2405935

Cited by 253 publications

(158 citation statements)

References 31 publications

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“…Apart from ensuring the quality of power output, the inverter control system should be able to coordinate the operation of multiple distributed generators (DGs) and distribute power to loads according to the capacity of each power source [4]. Research on energy management, reliability of component, coordination, and optimization of renewable energy in hybrid microgrids has been conducted [5][6][7][8][9]. The droop control system, based on the droop characteristic of synchronous generators, offers the benefits of sparse communication and 'plug and play'.…”

Section: Introductionmentioning

confidence: 99%

“…Z s is the equivalent output impedance which can be calculated using Equation (8) (8) It can be seen from Equation (8) that the equivalent output impedance is not only related to the filter parameters L and C, but also influenced by the PI controller. Using the design parameters stated in [26] (see Table 1), the equivalent output impedance is inductive, and the influence of the line impedance can be ignored.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Virtual Impedance Droop Control Based on Consensus Control of Reactive Current

et al. 2018

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It is difficult to achieve accurate distribution of reactive power based on conventional droop control due to the line impedance mismatch in an islanded microgrid. An adaptive virtual impendence method based on consensus control of reactive current is proposed in this paper. A distributed control structure without the central controller has been established. In this structure, each distributed generation unit (DG) is an independent agent, one-way communication is used between the adjacent DGs, and the reactive power sharing is equivalent to a problem of reactive power current consensus. It has been proven that the system is asymptotically stable under the proposed control strategy. When the adjacent DG's reactive power is not proportionally distributed, the current weight error term will generate a virtual impedance correction term through the proportional-integral controller based on the reactive current consensus control strategy, thus introducing adaptive virtual impedance to eliminate mismatches in output impedance between DGs. Reactive power auto-proportional distribution can be achieved without knowing the line impedance. At the same time, the power control loop is simplified and the virtual impedance compensation angle is employed to compensate the decreased reference voltage magnitude and varied phase angle due to the introduction of the virtual impedance, so the stability of the system can be improved. Finally, the correctness and effectiveness of the proposed strategy are verified by modeling analysis and microgrid simulations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Virtual Impedance Droop Control Based on Consensus Control of Reactive Current

et al. 2018

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“…To address the uncertainty and intermittence problem, many researches have been carried out under stochastic and robust forecast system [5][6][7][8][9], but the reliability of the system and actual implementation as compared to simulation results are the big concern in all over the world which will lead in doing more efforts in this field.…”

Section: Introductionmentioning

confidence: 99%

Renewable Generation (Wind/Solar) and Load Modeling through Modified Fuzzy Prediction Interval

Rafique

Zhang

Rafique

et al. 2018

International Journal of Photoenergy

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The accuracy of energy management system for renewable microgrid, either grid-connected or isolated, is heavily dependent on the forecasting precision such as wind, solar, and load. In this paper, an improved fuzzy prediction horizon forecasting method is developed to address the issue of intermittence and uncertainty problem related to renewable generation and load forecast. In the first phase, a Takagi-Sugeno type fuzzy system is trained with many evolutionary optimization algorithms and established coverage grade indicator to check the accuracy of interval forecast. Secondly, a wind, solar, and load forecaster is developed for renewable microgrid test bed which is located in Beijing, China. One day and one step ahead results for the proposed forecaster are expressed with lowest RMSE and training time. In order to check the efficiency of the proposed method, a comparison is carried out with the existing models. The fuzzy interval-based model for the microgrid test bed will help to formulate the energy management problem with more accuracy and robustness.

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“…With the high penetration of various sustainable energy sources, Microgrids have been proposed to integrate multiple DGs and loads for different operation conditions [4]- [7].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Control and Protection Scheme for Inverter Dominated Microgrids

Xu¹,

Wen²,

Jiang³

et al. 2017

Journal of Power Electronics

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With the high penetration of various sustainable energy sources, the control and protection of Microgrids has become a challenging problem considering the inherent current limitation feature of inverter-based Distributed Generators (DGs) and the bidirectional power flow in Microgrids. In this paper, a hybrid control and protection scheme is proposed, which combines the traditional inverse-time overcurrent protection with the biased differential protection for different feeders with different kinds of loads. It naturally accommodates various control strategies such as P-Q control and V-f control. The parameter settings of the protection scheme are analyzed and calculated through a fast Fourier transform algorithm, and the stability of the control strategy is discussed by building a small signal model in MATLAB. Different operation modes such as the grid-connected mode, the islanding mode, and the transitions between these two modes are ensured. A Microgrid model is established in PSCAD and the analysis results show that a Microgrid system can be effectively protected against different faults such as the single phase to ground and the three phase faults in both the grid-connected and islanded operation modes.

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Robust Optimal Power Management System for a Hybrid AC/DC Micro-Grid

Cited by 253 publications

References 31 publications

Adaptive Virtual Impedance Droop Control Based on Consensus Control of Reactive Current

Adaptive Virtual Impedance Droop Control Based on Consensus Control of Reactive Current

Renewable Generation (Wind/Solar) and Load Modeling through Modified Fuzzy Prediction Interval

Hybrid Control and Protection Scheme for Inverter Dominated Microgrids

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