Harmonic Aggregation Techniques

Pasand, Mohammad Mahdi Share

doi:10.11648/j.jeee.20150305.13

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…Another phenomenon affecting MG behavior is the increased use of nonlinear power electronic devices and sensitive loads [38]. These devices induce harmonics that may degrade the components either in the utility grid or MG. High-frequency harmonics can be filtered by passive or active filters, but the low-frequency harmonics are difficult to filter without reducing the system's operating frequency.…”

Section: Energy Quality Index Applied To the Current Signal At The Pccmentioning

confidence: 99%

Hybrid LQR-PI Control for Microgrids under Unbalanced Linear and Nonlinear Loads

et al. 2020

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A hybrid Linear Quadratic Regulator (LQR) and Proportional-Integral (PI) control for a MicroGrid (MG) under unbalanced linear and nonlinear loads was presented and evaluated in this paper. The designed control strategy incorporates the microgrid behavior, low-cost LQR, and error reduction in the stationary state by the PI control, to reduce the overall energetic cost of the classical PI control applied to MGs. A Genetic Algorithm (GA) calculates the parameters of LQR with high-accuracy fitness function to obtain the optimal controller parameters as settling time and overshoot. The gain values of the classical PI controller were determined through the improved LQR values and geometrical root locus. When MG operates in the grid-tied mode under unbalanced conditions, the controller performance of the Current Source Inverter (CSI) of the MG is considerably affected. Consequently, the CSI operates in a negative-sequence mode to compensate for unbalanced current at the Point of Common Coupling (PCC) between the MG and the utility grid. The study cases involved the reduction of the negative-sequence percentage in the current at the PCC, mitigation of harmonics in the current signal injected by the MG, and close related power quality issues. All these cases have been analyzed by implementing an MG connected at the PCC of a low-voltage distribution network. A numerical model of the MG in Matlab/Simulink was implemented to verify the performance of the designed LQR-PI control to mitigate or overcome the power quality concerns. The extensive simulations have permitted verifying the robustness and effectiveness of the proposed strategy.

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Section: Energy Quality Index Applied To the Current Signal At The Pccmentioning

confidence: 99%

Hybrid LQR-PI Control for Microgrids under Unbalanced Linear and Nonlinear Loads

et al. 2020

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“…In recent years, the rising use of nonlinear power electronic devices along with an increase of the sensitive loads has resulted in various concerns [13]. The continued presence of harmonics can damage or degrade components in the networks such as transformers, electric motors, or electronic appliances.…”

Section: Harmonic Distortionmentioning

confidence: 99%

“…The continued presence of harmonics can damage or degrade components in the networks such as transformers, electric motors, or electronic appliances. Harmonics also increase the total amount of power losses in the system [13]. High harmonics can normally be easily filtered by passive or active filters or, at least, reduced using appropriate modulation schemes in the control of the power electronic switches.…”

Section: Harmonic Distortionmentioning

confidence: 99%

Power Quality Improvement of a Microgrid with a Demand-Side-Based Energy Management System

D’Hoop¹,

Deblecker²,

Thomas³

2019

Micro-Grids - Applications, Operation, Control and Protection

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This chapter addresses the power quality of grid-connected microgrids in steady state. Three different power quality issues are evaluated: the voltage drop, the harmonic distortion, and the phase unbalance. A formulation for an energy management algorithm for microgrids is proposed under the form of a mixed-integer linear optimization including harmonic load flows. It handles both the optimization of the scheduling of all the generation, storage, and load assets, and the resolution of power quality issues at the tertiary level of control by adjusting the levels of certain types of loads within the system. This algorithm is simulated for different scenarios on a conceptual test-case microgrid with residential, industrial, and commercial loads. The results show that the demand-side management mechanism inside the algorithm can adapt efficiently the consumption behavior of certain loads, so that the voltage drop, the voltage total harmonic distortion, and the voltage unbalance factor meet the required standards at every node of the microgrid during the day. It is also highlighted that the microgrid can gradually reduce the purchase of power from the utility grid to which it is connected if the electricity price on the spot market increases.

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Comparative Analysis of ICI Self Cancellation Techniques for Wavelet OFDM Under Different Channels in Simulink

Kaur

Kumar

2019

Wireless Pers Commun

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Harmonic Aggregation Techniques

Cited by 6 publications

References 13 publications

Hybrid LQR-PI Control for Microgrids under Unbalanced Linear and Nonlinear Loads

Hybrid LQR-PI Control for Microgrids under Unbalanced Linear and Nonlinear Loads

Power Quality Improvement of a Microgrid with a Demand-Side-Based Energy Management System

Comparative Analysis of ICI Self Cancellation Techniques for Wavelet OFDM Under Different Channels in Simulink

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