Photovoltaic Power Generation Control Research Articles

Intelligent Decision Algorithm for Photovoltaic Power Generation Control Based on Feature Neural Computing Modeling

Abstract The integration of renewable energy sources into the power grid, especially photovoltaic (PV) systems, has seen a significant upsurge due to the global push for sustainable energy. However, the variable nature of solar energy poses unique challenges in the effective management and control of PV power generation. This study introduces an innovative approach to intelligent decision-making in PV power generation control, leveraging deep learning techniques for temporal data feature modeling. By collecting and analyzing time-series data from PV systems, the proposed method utilizes feature neural computing to model the inherent characteristics of the data, facilitating effective temporal feature classification. The classification results are then employed to inform intelligent control strategies, optimizing the efficiency and reliability of PV power generation. This article proposes an end-to-end neural network structure that can simultaneously mine multi-scale local information and global temporal correlation information in sequences. This structure is primarily achieved through a module. The module consists of two parallel branches. One branch improves the InceptionTime module with depthwise separable convolution to extract multi-scale subsequence information. The other branch employs multi-head self-attention technology with added layer positional encoding to extract global temporal correlation information in sequences.

Integrated photovoltaic storage joint smoothing strategy based on simultaneous perturbation stochastic approximation algorithm

In order to realize the real-time control of photovoltaic power generation smoothly connected to the grid under the condition that the energy storage equipment can operate safely, a control strategy combining the simultaneous perturbation stochastic approximation (SPSA) algorithm with rule control is designed. Firstly, the photovoltaic data are processed to extract the data characteristics of the power ramp, and then the grid-connected reference power is obtained through SPSA algorithm. Secondly, considering the state of charge (SOC) of energy storage equipment and the safe operating power range of hydrogen storage equipment, 24 hybrid energy storage power allocation rules are formulated by using the rule control method. Finally, according to the sampling data of every 10 s interval in typical day, the simulation is carried out on MATLAB/simulink platform. The results show that, compared with the first-order low-pass filtering algorithm and recursive fuzzy neural network (RFNN) algorithm, the SPSA algorithm has stronger smoothing ability, and the rule control can also complete the allocation according to the characteristics of the hybrid storage device while ensuring its normal operation.

Optimization of hybrid energy storage based on micro grid optical storage and DC in certain regions

It is of great significance to maintain the stability of DC micro grid bus voltage and improve the economic benefits of the micro grid system. A hybrid energy storage form of flywheel and battery is proposed as the energy storage form of the DC micro grid system of the optical storage charging station. The flywheel is used to smooth high-frequency power fluctuation and part of low-frequency power, and the battery is used to balance the reference power to maintain smooth and stable bus voltage. The hierarchical coordinated control strategy of DC bus is designed to achieve the coordinated control of photovoltaic power generation, electric vehicle charging and discharging, and load power demand in the microgrid system. According to the different working conditions of island operation and grid connected operation, the proposed control strategy is simulated and analyzed on the Matlab/Simulink software platform. The simulation results show that under all working conditions, the proposed control strategy can effectively switch the DC bus voltage between different voltage layers, maintain the DC bus voltage balance of the DC microgrid system of the optical storage charging station, and realize the flexible and reliable operation of the entire system. Therefore, the control strategy is feasible and effective.

Impact of Power Output Curtailment Control of Photovoltaic Power Generation on Grid Frequency

In a power system with very high penetration photovoltaic power (PV) generation, the curtailment of PV power will be necessary to maintain a power supply and demand balancing. PV power output can be effectively utilized by controlling the curtailment at a certain interval based on forecasting and nowcasting of aggregated power output of PV systems. By using an optimum unit commitment scheduling model, this paper assesses the effect of a scheduled curtailment control at 30 min interval on the reduction of curtailed PV power output in comparison with a fixed curtailment control throughout a day. Then, by using an electricity supply - demand simulation model, this paper discusses the effect of ramp rate control of curtailed PV power output for avoiding the steep change in grid frequency due to the stepwise change in curtailment.

Maximum power point tracking control of photovoltaic power generation based on boost circuit

In order to find an effective way of improving the power generation efficiency of photovoltaic solar panels, this paper discusses how to maximize the power point tracking control of photovoltaic panel power generation so that the panel is always output with the maximum power. This paper starts with an introduction of the working principle of maximum power point tracking (MPPT) and then compares several common methods of MPPT. After analyzing and comparing these methods, the most practicable and effective one is finally determined, which is the incremental conductance (INC) based on boost circuit. In this paper, modeling and simulations are carried out to prove the correctness and reliability of this method.

Research on MPPT Based on Fuzzy Auto-disturbance Rejection

For the classical maximum power point tracking algorithm, the setting of small step increases the speed of maximum power tracking of photovoltaic power generation system and the stability of operation in stable state. To solve this problem, this paper designs a maximum power point tracking system based on booster circuit, and adopts fuzzy auto-disturbance rejection control to improve the conductance increment method with variable step length. Based on the relationship between the rate of conductance change and the maximum power point conductance, the step size of the adrc is adjusted by using the fuzzy logic control. The MPPT system of photovoltaic power generation is designed by combining the incremental conductance method and the improved fuzzy control method with the correction factor. The control method does not depend on the mathematical model of the system, the design is flexible, the control effect is robust, stable and accurate. It can be used for reference for other types of solar photovoltaic power generation control system.

Manufacturing Cost Optimization of Photovoltaic Enterprises Based on Neural Network

How to reduce the cost of photovoltaic power generation is the core issue of the survival and development of photovoltaic enterprises. Based on this, the manufacturing cost optimization of photovoltaic enterprises is studied based on neural network. Through the design of cost accounting control of photovoltaic enterprises, a genetic algorithm is proposed to optimize the manufacturing cost of photovoltaic enterprises, which is predicted at the maximum power point of the same photovoltaic power generation system. The results show that the RBF neural network optimized by genetic algorithm not only improves the prediction speed, but also improves the prediction accuracy. Thus, the maximum power point tracking control of photovoltaic power generation can be achieved better, and the manufacturing cost of photovoltaic enterprises can be optimized.

Grid Connected Photovoltaic Power Generation Control Method Based on Swarm Intelligence Algorithm

Unipolar and bipolar modulations are widely used in the active power filter of photovoltaic grid-connected inverter. In this paper, the basic modulation strategy, on–off action, influence of operational mode, harmonic current and efficiency of unipolar modulation are compared with the same of bipolar modulation. On this basis, a hybrid modulation strategy integrating advantages of unipolar and bipolar modulations is obtained after analysis, of which effectiveness and feasibility is verified in experiment.

An Experimental Study on Dual P-f Droop Control of Photovoltaic Power Generation for Supporting Grid Frequency Regulation

Abstract The objective of this study is to develop an active power control of photovoltaic power generation (PV) system for supporting grid frequency regulation in two different forms, i.e. slow frequency control contributing to load - frequency control (LFC) and fast frequency control contributing to inertial response of synchronous generators. Two different active power - frequency droop characteristics are implemented simultaneously by using different frequency measurement methods. The performance test result of proposed control using an experimental setup shows that PV system equipped with proposed control can supply appropriate active power according to two different droop characteristics for slow frequency control and fast frequency control

Experimental Study of Power Output Suppression Control of Photovoltaic Power Generation During Electricity Surplus in Electric Power System

SUMMARYIn a future electric power system with a high penetration of photovoltaic power generation systems (PVSs), surplus power may occur during the daytime in the spring or fall when electricity demand is low. Suppressing the PVS power output as well as absorbing the surplus power by using electric storage facilities is a possible countermeasure. By considering fairness among a number of PVSs dispersed in a large area with different insolation levels, this study proposes a method of keeping the PVS power output at the utility's requested ratio to available power. The utility of the proposed method is demonstrated by a simplified experimental PVS setup. In the proposed method, the operation point on the I–V curve is kept at a lower value than the maximum power point () so that the mean PV power during a certain period satisfies the requested value. is detected without any additional sensor devices by changing the operation point within a set interval. An experimental test using a test inverter unit demonstrated that the proposed suppression control was effective for maintaining the requested suppression level when insolation was stable. Two types of control modes, the proposed suppression mode and the upper bounded MPPT mode, were applied, and the proposed suppression control worked well for various insolation patterns, as revealed by using a simulation model of the inverter test unit and the insolation data for a year.

Experimental Study on Power Output Suppression Control of Photovoltaic Power Generation during Electricity Surplus in Electric Power System

Experimental Study on Power Output Suppression Control of Photovoltaic Power Generation during Electricity Surplus in Electric Power System

GSM-based monitoring and control of photovoltaic power generation

This paper describes a system for the remote monitoring and control of complex stand-alone photovoltaic plants. In normal conditions, the system records and periodically reports the overall performances, whereas, in case of incorrect behaviors, it immediately informs the operators. Moreover, through appropriate instructions, users are able to modify some elements of the plant and the settings of the measurement system. In order to adapt the system to the specific operative conditions, several means of communications and plant configurations were investigated. However, for a more general, flexible and cost-effective implementation, the remote communications are based on the GSM network and, in particular, on the short text message service.