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A Local measurement based protection technique for distribution system with photovoltaic plants
摘要： Inverter interfaced distributed generation units contribute limited fault current and thereby the current magnitude-based protection schemes find limitation for such situations. Change in penetration level of renewable energy sources with time makes available protection schemes more challenging. The distinction between load and fault current is an issue and with high resistance fault, level of fault current and load current becomes comparable. In this paper, local measurement-based protection technique is proposed that uses current and voltage signals to derive accurate protection decision for a distribution system in the presence of distributed generation units. The method uses real and reactive power calculated at the relay point for the decision. The performance of the algorithm is tested for a 33 bus distribution system simulated using DIgSILENT PowerFactory. Considering such units, the method is tested for both islanded and grid-connected modes, the varying level of distributed generation penetration and for different fault resistances. The results demonstrate the strength of the proposed method over available techniques. The proposed method is also validated using hardware-in-loop testing using Arduino NANO microcontroller and OPAL-RT simulator in real-time.
关键词： DIgSILENT PowerFactory,protection technique,photovoltaic plants,Arduino NANO,OPAL-RT simulator,distributed generation units,local measurement
更新于2025-09-23 15:21:01
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[IEEE 2019 International Power System Conference (PSC) - Tehran, Iran (2019.12.9-2019.12.11)] 2019 International Power System Conference (PSC) - Optimal model predictive control of photovoltaic plants for frequency regulation in an interconnected power system
摘要： Due to growing development of photovoltaic (PV) plants in power systems, they are capable to provide ancillary service for frequency regulation. PV plants provide the required reserve of generation through operating below the maximum power point tracking. This paper proposes a model predictive control (MPC)-based approach for power control of PV plants contributing towards load frequency control (LFC). In MPC, the control signals are provided through optimizing a cost function which includes the plant model as well as current and past signals of the system. Since the successful performance of the controller depends on the well-adjusting of its weights, the weights of the controller are regulated by sine cosine algorithm to earn an optimal performance. Comprehensive discussions are presented on a three-area interconnected power system. The effectiveness of the proposed scheme is demonstrated through case studies and thereby relevant conclusions are drawn.
关键词： Load frequency control,model predictive control,photovoltaic plants,sine cosine algorithm
更新于2025-09-23 15:21:01
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Techno-economic optimization of grid-connected, ground-mounted photovoltaic power plants by genetic algorithm based on a comprehensive mathematical model
摘要： The increasing penetration of photovoltaic (PV) technology calls for the development of an effective method for optimization of grid-connected photovoltaic power plants. This paper presents a simultaneous optimization method of ten important design parameters of a PV plant, including the module power, inverter sizing, support structure dimensions, cable losses, module orientation and row spacing. A mathematical PV performance model taking into account the important effects and losses and an economic cost model were developed and presented in detail. The objective function is the internal rate of return and the optimization is performed by a genetic algorithm. The results show that the proposed models and method are capable to optimize the grid-connected PV plant and provide reliable results after a 6–7 min calculation time. The method was demonstrated in detail for a Hungarian location, including the losses and cost structure of the optimal plant configuration. The optimization was also performed for 5 additional sites around the world to assess the effect of location and meteorology. The impact of the decreasing PV module prices on the optimal design is calculated to identify the expected future trends in PV plant design. The presented optimization method can be utilized to facilitate the optimal design of commercial PV plants and for research purposes.
关键词： Modeling,Optimization,Genetic algorithm,Grid-connected photovoltaic plants
更新于2025-09-23 15:21:01
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Novel methodology for detecting non-ideal operating conditions for grid-connected photovoltaic plants using Internet of Things architecture
摘要： The use of photovoltaic solar power generation is rising as worldwide energy demand increases. Therefore, reliability, safety, life cycle, and improved efficiency of photovoltaic plants have all become a major concern in research nowadays. In this context, monitoring systems are necessary to guarantee the required operating productivity and to avoid overpriced maintenance costs. This paper studies the non-ideal operating conditions for grid-connected photovoltaic plants and proposes an anomaly detection methodology that combines the advantages of the 2-sigma, short-window simple-moving average control charts with shading strength and irradiance transition parameters to detect early deviation in photovoltaic plant operational data. The key aspect of proposed methodology is that it requires neither historical data for model training procedure nor parameters from previous simulation. Only instantaneous meteorological and electrical parameters are required. The efficiency of the condition monitoring methodology has been validated through experimental results conducted in actual operating conditions. Results demonstrated that the proposed methodology is effective to identify non-ideal operating conditions for grid-connected photovoltaic plants, i.e., (i) normal operating condition, (ii) natural dynamic shading, (iii) artificial dynamic shading, and (iv) artificial static shading. Moreover, a low-cost and non-invasive internet-of-things-based embedded architecture is proposed to monitor photovoltaic plant operation in real-time.
关键词： Condition monitoring,Shading types,Non-ideal operating conditions,Anomaly detection,Grid-connected photovoltaic plants
更新于2025-09-16 10:30:52