Response characteristics and operating methods of new type dispersed power supply system using photovoltaic fuel cell and SMES

Monai, T.; Takano, Ichiro; Nishikawa, H.; Sawada, Yasuhiko

doi:10.1109/pess.2002.1043468

Cited by 24 publications

(10 citation statements)

References 2 publications

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“…The primary function of converter is to keep the terminal voltage of DC capacitor constant. When the V SMES is over (under) the setting range, V SMES is controlled by charging conduction modes of GTOs so that current of SMES flows through DC capacitor in same (opposite) direction as expressed by the arrow of discharging mode [6,7].…”

Section: Distribution Power System Modelingmentioning

confidence: 99%

Energy Management Strategy and Adaptive Control for SMES in Power System with a Photovoltaic Farm

Kim¹,

Park²

2014

Journal of Electrical Engineering and Technology

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-This paper proposes an energy management strategy and adaptive control for superconducting magnetic energy storage (SMES) in a distribution power system with a gridconnected photovoltaic (PV) farm. Application of the SMES system can decrease the output power fluctuations of PV system effectively. Also, it can control the real and reactive powers corresponding to the scheduled reference values with adequate converter capacity, which are required at a steady-state operating point. Therefore, the adaptive control strategy for SMES plays a key role in improving the system stability when the PV generation causes uncertain variations due to weather conditions. The performance of proposed energy management strategy and control method for the SMES is then evaluated with several case studies based on the PSCAD/ EMTDC ® simulation.

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Section: Distribution Power System Modelingmentioning

confidence: 99%

Energy Management Strategy and Adaptive Control for SMES in Power System with a Photovoltaic Farm

Kim¹,

Park²

2014

Journal of Electrical Engineering and Technology

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“…2(a), investigating required EDLC capacity [4][5][6]. In order to compare simulation results for these models, simulations were performed for N/M-point MA model, M-division N-point EMAP model with M and N parameters of 8 and 1920, respectively, as well as AC-EMAP model with variable parameters.…”

Section: Simulation Studymentioning

confidence: 99%

A study on collaborative operation method for a new energy type dispersed power supply system by AC-EMAP model

2006

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“…Currently, short-term power forecasting method for PV systems mostly is the direct prediction. And depending on the mathematical model used, the direct method can be divided into time series prediction methods [2,3], the regression model prediction method [4], neural network prediction method [5,6], Markov Chain prediction method [7][8][9] and the like. Among these methods, the artificial intelligence algorithm, including the neural network algorithm and the probability prediction algorithm, is widely used currently.…”

Section: Introductionmentioning

confidence: 99%

Short-Term Photovoltaic Power Generation Forecasting Based on Environmental Factors and GA-SVM

Wang¹,

Ran²,

Song³

et al. 2017

Journal of Electrical Engineering and Technology

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-Considering the volatility, intermittent and random of photovoltaic (PV) generation systems, accurate forecasting of PV power output is important for the grid scheduling and energy management. In order to improve the accuracy of short-term power forecasting of PV systems, this paper proposes a prediction model based on environmental factors and support vector machine optimized by genetic algorithm (GA-SVM). In order to improve the prediction accuracy of this model, weather conditions are divided into three types, and the gray correlation coefficient algorithm is used to find out a similar day of the predicted day. To avoid parameters optimization into local optima, this paper uses genetic algorithm to optimize SVM parameters. Example verification shows that the prediction accuracy in three types of weather will remain at between 10% -15% and the short-term PV power forecasting model proposed is effective and promising.

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Response characteristics and operating methods of new type dispersed power supply system using photovoltaic fuel cell and SMES

Cited by 24 publications

References 2 publications

Energy Management Strategy and Adaptive Control for SMES in Power System with a Photovoltaic Farm

Energy Management Strategy and Adaptive Control for SMES in Power System with a Photovoltaic Farm

A study on collaborative operation method for a new energy type dispersed power supply system by AC-EMAP model

Short-Term Photovoltaic Power Generation Forecasting Based on Environmental Factors and GA-SVM

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