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Coordinative Low-Voltage-Ride-Through Control for the Wind-Photovoltaic Hybrid Generation System
摘要： The wind-photovoltaic (PV) hybrid renewable energy system (HRES), which consists of permanent magnet synchronous generators (PMSG) and PV arrays, is becoming a cost-effective electric source for powering islanded areas. However, high penetration of renewables makes the power system vulnerable to transient voltage faults, which undermines the stability of the future inverter-dominated grid. To address this issue, a coordinative low-voltage-ride-through (LVRT) control scheme is proposed for the operation of the wind-PV HRES in this paper. This control scheme will exploit the maximum energy inertia of the HRES for incorporating the power imbalance between the faulted grid and the renewable generators. An optimization problem is formulated to maximize the renewable energy harvesting within the operational and environmental limitations. To cope with different working conditions, four control processes are coordinated in an optimized manner during the LVRT period, namely (i) Adaptive DC-link voltage control, (ii) PMSG rotating speed control, (iii) PV energy curtailment control, and (iv) Blade pitch angle control. Besides, this control scheme applies a direct output control that can generate stable and accurate current as per grid code requirements. The results of the hardware-in-the-loop (HIL) experiment and the MATLAB-Simulink simulation are provided to verify the effectiveness of the proposed control scheme.
关键词： power system faults,Hybrid renewable energy system,low-voltage-ride-through,smart grid
更新于2025-09-12 10:27:22
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[IEEE 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) - Kota Kinabalu, Malaysia (2018.10.7-2018.10.10)] 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) - Comprehensive Review on Appropriate Sizing and Optimization Technique of Hybrid PV-Wind System
摘要： The energy consumption is increasing at an alarming rate due to the growth of world population. Hybrid renewable energy system (HRES) is becoming more trending as the sources involved such as wind and solar radiation to generate energy is environmental friendly, renewable and sustainable while cost free. Hybrid renewable energy is more reliable, stable and efficient compared to the single renewable energy. Furthermore, the limitation of energy production using single renewable energy will improve by combining two or more such system to form HRES. Solar and wind energy acts as a compensation for each other and the combination of these two systems will be able to satisfy energy demand to a certain degree. This review paper includes various and appropriate sizing and optimization techniques involved to optimize HRES in order to achieve the energy demand while minimizing the cost required.
关键词： photovoltaic (PV),sizing,Hybrid renewable energy system (HRES),wind,optimization
更新于2025-09-09 09:28:46
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Potential, optimization and sensitivity analysis of photovoltaic-diesel-battery hybrid energy system for rural electrification in Algeria
摘要： Integration of hybrid renewable energy systems (HRES) as an electrification solution can enhance the rural electrification situation in Algeria's predominantly remote Saharan regions, where diesel generators are used to provide very basic and limited electricity service. The exploitation of such a solution requires a sustainable, optimized HRES design. This paper presents a methodology both to optimize and to perform a sensitivity analysis of an autonomous hybrid PV-diesel-battery energy system. Particle Swarm Optimization (PSO) and ε-constraint method were used to simultaneously minimize total system cost, unmet load, and CO2 emissions. One optimal solution was chosen among the solutions set and analyzed. The remote Saharan village of Tiberkatine, province of Tamanrasset in southern Algeria was considered as a case study. The hybrid system supplied the energy demand of 20 households. It was found that the optimal solution can supply energy without unmet load, the minimum cost of energy COE is 0.37 $/kWh with 93% renewable fraction. A sensitivity analysis was performed on the optimal system to study the impact of three parameters (load consumption, εCO2, and εLLP constraints) on the system behavior. Finally, a comparative analysis between PSO and HOMER was performed, it was found that the PSO based approach is more cost effective with more PV penetration than HOMER.
关键词： Photovoltaic,Diesel,PSO optimization,Rural electrification,Hybrid renewable energy system
更新于2025-09-04 15:30:14