Optimal PI controller of DVR to enhance the performance of hybrid power system feeding a remote area in Egypt

Mosaad, Mohamed I.; el-Raouf, M. Osama abed; Al-Ahmar, Mahmoud A.; Bendary, Fahmy

doi:10.1016/j.scs.2019.101469

Cited by 65 publications

(34 citation statements)

References 34 publications

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“…Conventionally, the PI controller has been employed in synchronous reference frames due to its simplicity and stability. Although the PI controllers are relatively straightforward to tuning, the variation in the nonlinear load condition and grid disturbances leads to significant challenges in achieving an optimal and fully robust solution and depends on the designer for obtaining the best performance [37]. A recent research has proven that a control system with a PI controller using fractional order implemented in a three-phase inverter system can mitigate poor voltage regulation in a grid-connected PV system [38].…”

Section: Plos Onementioning

confidence: 99%

Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system

et al. 2020

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The lack of control in voltage overshoot, transient response, and steady state error are major issues that are frequently encountered in a grid-connected photovoltaic (PV) system, resulting in poor power quality performance and damages to the overall power system. This paper presents the performance of a control strategy for an inverter in a three-phase grid-connected PV system. The system consists of a PV panel, a boost converter, a DC link, an inverter, and a resistor-inductor (RL) filter and is connected to the utility grid through a voltage source inverter. The main objective of the proposed strategy is to improve the power quality performance of the three-phase grid-connected inverter system by optimising the proportional-integral (PI) controller. Such a strategy aims to reduce the DC link input voltage fluctuation, decrease the harmonics, and stabilise the output current, voltage, frequency, and power flow. The particle swarm optimisation (PSO) technique was implemented to tune the PI controller parameters by minimising the error of the voltage regulator and current controller schemes in the inverter system. The system model and control strategies were implemented using MATLAB/Simulink environment (Version 2020A) Simscape-Power system toolbox. Results show that the proposed strategy outperformed other reported research works with total harmonic distortion (THD) at a grid voltage and current of 0.29% and 2.72%, respectively, and a transient response time of 0.1853s. Compared to conventional systems, the PI controller with PSO-based optimization provides less voltage overshoot by 11.1% while reducing the time to reach equilibrium state by 32.6%. The consideration of additional input parameters and the optimization of input parameters were identified to be the two main factors that contribute to the significant improvements in power quality control. Therefore, the proposed strategy effectively enhances the power quality of the utility grid, and such an enhancement contributes to the efficient and smooth integration of the PV system.

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Section: Plos Onementioning

confidence: 99%

Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system

et al. 2020

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“…A comparison between feedback, feed-forward, and composite controllers is provided in Table 9 [138]. The calculated DVR voltage or load voltage in the feedback controller is affected by a voltage controller, like Proportional-Resonant (PR) [139], H infinity ( ) [140,141], Repetitive [67,142,143], Predictive [7,144,145], combined Feed-Forward and State Feedback [146], State Variable [147], Feedback Linearization [148], Sliding Mode (SMC) [149][150][151][152], and Metaheuristic Algorithms like Fuzzy Logic (FLC) [95,153,154], Hybrid Genetic Algorithm (GA) and FLC (GA FCL) [155], Cuckoo Search (CS) [156], Chaotic Accelerated PSO (CAPSO) [157], Artificial Neural Network (ANN) [46,158,159], to name just a few. There are also other reference generation methods like Symmetric Component Estimation [133,134], Instantaneous Power Theory (PQR) [135,136], and Phasor Parameter Estimation [137].…”

Section: Reference Generation and Modulation Stagesmentioning

confidence: 99%

Dynamic Voltage Restorer (DVR): A Comprehensive Review of Topologies, Power Converters, Control Methods, and Modified Configurations

Moghassemi

Padmanaban

2020

Energies

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Power quality is a pressing concern and of the utmost importance for advanced and high-tech equipment in particular, whose performance relies heavily on the supply’s quality. Power quality issues like voltage sags/swells, harmonics, interruptions, etc. are defined as any deviations in current, voltage, or frequency that result in end-use equipment damage or failure. Sensitive loads like medical equipment in hospitals and health clinics, schools, prisons, etc. malfunction for the outages and interruptions, thereby causing substantial economic losses. For enhancing power quality, custom power devices (CPDs) are recommended, among which the Dynamic Voltage Restorer (DVR) is considered as the best and cost-effective solution. DVR is a power electronic-based solution to mitigate and compensate voltage sags. This paper provides a thorough discussion and comprehensive review of DVR topologies based on operations, power converters, control methods, and applications. The review compares the state-of-the-art in works of literature, and comparative study on power quality issues, the DVR principle along with its operation modes, the DVR components, the DVR topologies based on energy storage, the DVR topologies based on single-/three-phase power converters, and the DVR topologies based on control units that have different control processing stages. Furthermore, modified and improved configurations of the DVR, as well as its integration with distributed generations, are described. This work serves as a comprehensive and useful reference for those who have an interest in researching DVRs.

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“…The series and parallel resistance are Rs and R P (Ω). The thermal voltage, photon current, and reverse saturation current of a single diode are given as [33]:…”

Section: Photovoltaic Modelmentioning

confidence: 99%

Techno-Economic Feasibility Analysis of a Hybrid Renewable Energy Supply Options for University Buildings in Saudi Arabia

Tazay

2020

Open Engineering

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This study presents a detailed feasibility analysis of technical and financial assessment for grid-connected Hybrid Renewable Energy System (HRES) configurations by including grid-only, HRES-only and grid-HRES at four different provinces in the Kingdom of Saudi Arabia (KSA), namely; (Al Baha University, University of Jeddah, Prince Sattam Bin Abdulaziz University, and Tabuk University). The objective of this paper is to search the possibility of supplying the load demand with the optimum system that has the lowest net present cost (NPC) and greenhouse emission CO2. The simulation results show that NPC of a proposed grid/PV system, at the current grid’s tariff, is more sufficient than other configurations with a result in a renewable fraction of more than 50%, a payback time of 17 years, and 54.3% reduction in CO2. The results also show that the integration of 62 kW PV array with the main grid is the best configuration that leads to the minimum cost of energy (COE) of 0.0688 $/kWh and the sell back energy of 9.16% of total energy consumption at Al Baha University. Besides, optimization modeling addresses that HRES-only system can supply the full load demand without power shortage (<0.1%) with a major contribution from solar PV by 78.5%, wind energy shares 11.3% of load demand, and 10.2% from battery banks. The developed analysis concludes that the objective function is feasible for the selected locations. The study has three novelties. Firstly, the required load at different locations of the university’s buildings at KSA is supplied by minimizing COE. The objective function is achieved by considering a combination of HRES. Then, it applies the sensitivity analysis for several cases such as payback time, gird’s tariff variation, and load demand change. Finally, the current analyses are applicable to any university at KSA and around the world.

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Optimal PI controller of DVR to enhance the performance of hybrid power system feeding a remote area in Egypt

Cited by 65 publications

References 34 publications

Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system

Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system

Dynamic Voltage Restorer (DVR): A Comprehensive Review of Topologies, Power Converters, Control Methods, and Modified Configurations

Techno-Economic Feasibility Analysis of a Hybrid Renewable Energy Supply Options for University Buildings in Saudi Arabia

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