Transient Optimization of Parallel Connected Inverters in Islanded AC Microgrids

Dissanayake, Anushka M.; Ekneligoda, Nishantha C.

doi:10.1109/tsg.2018.2871413

Cited by 28 publications

(7 citation statements)

References 30 publications

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“…Leek [4] Hajiakbari [6] Gangl [28] Olivares [8] Heymann [7] Rocabert [29] Hajimiragha [30] Bahrani [31] Kleftakis [32] Dong [22] Mirakhorli [33] Liu [34] Mhankale [35] Bao Nguyen [36] Wei [37] Wu [38] Rahmani [39] Dissanayake [40] Colak [41]…”

Section: Andersson [3]mentioning

confidence: 99%

A Review on Optimal Control for the Smart Grid Electrical Substation Enhancing Transition Stability

et al. 2021

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This paper is a research article for finding the optimal control of smart power substations for improving the network parameters and reliability. The included papers are the most essential and main studies in the field, which propose a different approach to reach the best performance in electrical power systems. The parameters for improvement are the ability for tracking of the reference signal, stabilizing the system, reducing the error in steady state and controlling the behavior in transient state. The research focuses with the reaching a better transient stability considering voltage and frequency dynamic parameters. The optimal model for the control is focused on minimizing energy consumption but maintaining the controllable parameters, exploring some optimization techniques to find the optimal control, with of aim of minimizing the response time, the energy consumption, and maximizing the reliability by means of improving the controller to be more robust.

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Section: Andersson [3]mentioning

confidence: 99%

A Review on Optimal Control for the Smart Grid Electrical Substation Enhancing Transition Stability

et al. 2021

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“…The ECMS is derived from engineering experience. The energy source of power-maintained HEV ultimately all comes from fuel, even if it is driven by battery power [15][16][17]. Therefore, the fuel consumption during the driving cycle also includes the fuel consumption equivalent to the energy used from the battery.…”

Section: Ecms Based On Pmpmentioning

confidence: 99%

Intelligent Networked Hybrid Electric Vehicle Optimization Using a Linearized Ecms Control Algorithm

2021

IJOMAM

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The purpose is to promote the development of the automotive industry, develop energysaving, safe, comfortable, and environment-friendly HEVs (Hybrid Electric Vehicle). Here, an HEV fleet is researched through the intelligent network connection to improve the fuel economy, traffic fluency, comfort, and safety of the vehicle. The HEV based on linearized ECMS (Equivalent Fuel Consumption Minimization Strategy) control algorithm is partially optimized. Based on the control algorithm of ECMS, cA-ECMS [Equivalent Factor Adaptive Control Strategy Based on Continuous SOC (System on Chip) Feedback] and dA-ECMS (Equivalent Factor Adaptive Control Strategy Based on Discrete SOC Feedback) are proposed. Based on SOC feedback, an online identification A-ECMS (Adaptive ECMS) algorithm is established. The results show that the control algorithm gives full play to the advantages of the adaptive control algorithm and improves the adaptability of the equivalent factor of the HEV. Besides, the fuel consumption, motor total energy consumption, and SOC end value deviation under different SOC initial values are compared. The results show that with the increase of SOC initial value, the end state SOC deviations of cA-ECMS and dA-ECMS control algorithm are about 0.6% and -1.6%, respectively, but the fuel consumption is increasing. Meanwhile, the cA-ECMS control algorithm tends to use fewer batteries. From the perspective of adaptability of equivalent factor, the equivalent factor of the dA-ECMS control algorithm changes less and has better adaptability. All of these lay a solid theoretical foundation for the establishment of an energy management control algorithm for real-time control of the real vehicle.

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“…Several power sharing control schemes-such as average current-sharing, master-slave, and droop-have been significantly employed to control parallel-connected inverter-based DERs. In microgrids, parallel-connection of inverters are known to improve the overall performance and reliability even with the failure of a constituent parallel inverter [60][61][62]. Propitiously, droop controls have been generally acknowledged as the most effective power-sharing scheme due to flexibility and nonexistence of significant communication networks between parallel-connected inverters [17,63].…”

Section: Droop-based Power Controlmentioning

confidence: 99%

Fault Ride-Through Enhancement of Grid Supporting Inverter-Based Microgrid Using Delayed Signal Cancellation Algorithm Secondary Control

2019

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The growing level of grid-connected renewable energy sources in the form of microgrids has made it highly imperative for grid-connected microgrids to contribute to the overall system stability. Consequently, secondary services which include the fault ride-through (FRT) capability are expected to be possessed characteristics by inverter-based microgrids. This enhances the stable operation of the main grid and sustained microgrid grid interconnection during grid faults in conformity with the emerging national grid codes. This paper proposes an effective FRT secondary control strategy to coordinate power injection during balanced and unbalanced fault conditions. This complements the primary control to form a two-layer hierarchical control structure in the microgrids. The primary level is comprised of voltage/power and current inner loops fed by a droop control. The droop control coordinates grid power-sharing amongst the voltage source inverters. When a fault occurs, the participating inverters operate to support the grid voltage, by injecting supplementary reactive power based on their droop gains. Similarly, under unbalanced voltage condition due to asymmetrical faults in the grid, the proposed secondary control ensures the positive sequence component compensation and negative and zero sequence components clearance using a delayed signal cancellation (DSC) algorithm and power electronic switched series impedance placed in-between the point of common coupling (PCC) and the main grid. While ensuring that FRT ancillary service is rendered to the main utility, the strategy proposed ensures relatively interrupted quality power is supplied to the microgrid load. Consequently, this strategy ensures the microgrid ride-through the voltage sag and supports the grid utility voltage during the period of the main utility grid fault. Results of the study are presented and discussed.

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Transient Optimization of Parallel Connected Inverters in Islanded AC Microgrids

Cited by 28 publications

References 30 publications

A Review on Optimal Control for the Smart Grid Electrical Substation Enhancing Transition Stability

A Review on Optimal Control for the Smart Grid Electrical Substation Enhancing Transition Stability

Intelligent Networked Hybrid Electric Vehicle Optimization Using a Linearized Ecms Control Algorithm

Fault Ride-Through Enhancement of Grid Supporting Inverter-Based Microgrid Using Delayed Signal Cancellation Algorithm Secondary Control

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