Energy Photovoltaic Power Generation Research Articles

Development status and application analysis of new energy photovoltaic power generation energy market based on artificial intelligence

Abstract With the rapid development of artificial intelligence, it is present in various fields. With the progress of the economy, existing energy has been unable to meet the growing demand of people, and the development of renewable resources to resolve the energy crisis is our common goal. In recent years, my country’s scientific and technological levels have greatly improved, and new energy photovoltaic power generation has also made great progress. The increasingly mature photovoltaic power generation technology in my country can effectively meet the demand for energy consumption and greatly reduce the waste of nonrenewable resources. This article mainly discusses the development status and application analysis of the new energy photovoltaic power generation energy market under the background of artificial intelligence and promotes the effective development of new energy in my country through the analysis of the new energy photovoltaic power generation energy market.

Thoughts on the Application of New Energy Photovoltaic Power Generation Technology

Thoughts on the Application of New Energy Photovoltaic Power Generation Technology

Research on frequency modulation control of photovoltaic power generation system based on VSG

Abstract In order to improve the friendliness of the grid connection of new energy power generation, the new energy photovoltaic (PV) unit is equivalent to a synchronous generator in the power system and a virtual synchronous generator (VSG)-controlled PV energy storage complementary grid-connected power generation system model is established and studied to analyze the VSG. When power is supplied to the load together with the power grid, the energy storage unit inside the VSG will release and store the electrical energy according to the fluctuation of the PV output, which plays the role of the adjustment of the prime mover; in the case of load power fluctuations, and power grid assume the corresponding active power regulation according to their capacity. The amount of active power adjustment to jointly and maintain the power balance inside the system under the condition of fluctuating load power. The overall system architecture and control strategy of PV grid-connected inverter based on VSG algorithm are proposed. The PV-VSG proposed here not only takes into account the maximum power point tracking control but also has independent participation in the power supply. A series of characteristics of synchronous generators, such as network frequency modulation voltage regulation and inertia damping, can effectively improve the new energy PV power generation system and promote the new energy consumption. The results of system simulation and field demonstration operation fully show the effectiveness and correctness of the proposed control strategy based on VSG algorithm.

Prediction of energy photovoltaic power generation based on artificial intelligence algorithm

The key to the coordination of photovoltaic power generation and conventional energy power load lies in the accurate prediction of photovoltaic power generation. At present, prediction models have problems with accuracy and system operation stability. Based on the neural network algorithm, this research carries the prediction of energy photovoltaic power generation and establishes a BP neural network prediction model and a wavelet neural network prediction model. Moreover, this research studies the influence of various factors on the prediction t of photovoltaic power generation, and analyzes the relationship between the various factors. In addition, in this study, a comparative test is constructed to analyze the model performance, and a statistical graph is drawn to take a visual comparison of performance. The research shows that the model proposed in this paper has certain effects and has certain advantages in the prediction of photovoltaic power generation.

Data Fusion Algorithm of Power Line Carrier Communication Based on Minimum Spanning Tree Theory

With the expansion of the clean energy photovoltaic power generation systems, the requirements of communication and data exchange capacity become higher and higher. The status information of each photovoltaic unit should be collected. However, when the number of PV units is too large or the collection frequency is too high, it will generate huge amount of data to the communication system. If each monitoring terminals transmits the data to the master station independently, the huge traffic flows occupy bandwidth and reduce the communication efficiency, which also affect the real-time monitoring of the photovoltaic system. To solve this problem, this paper proposed a novel data fusion algorithm for power line carrier communication based on minimum spanning tree transmission path. The data fusion packet format is also presented. Finally, the effectiveness of the proposed algorithm is proved by comparing the amount of data brought by the fusion algorithm and the non-fusion algorithm.

Effects of solar photovoltaic technology on the environment in China.

Among the various types of renewable energy, solar photovoltaic has elicited the most attention because of its low pollution, abundant reserve, and endless supply. Solar photovoltaic technology generates both positive and negative effects on the environment. The environmental loss of 0.00666yuan/kWh from solar photovoltaic technology is lower than that from coal-fired power generation (0.05216yuan/kWh). The negative effects of solar photovoltaic system production include wastewater and waste gas pollutions, the representatives of which contain fluorine, chromium with wastewater and hydrogen fluoride, and silicon tetrachloride gas. Solar panels are also a source of light pollution. Improper disposal of solar cells that have reached the end of their service life harms the environment through the stench they produce and the damage they cause to the soil. So, the positive and negative effects of green energy photovoltaic power generation technology on the environment should be considered.

The characteristic analysis of the solar energy photovoltaic power generation system

Solar energy is an inexhaustible, clean, renewable energy source. Photovoltaic cells are a key component in solar power generation, so thorough research on output characteristics is of far-reaching importance. In this paper, an illumination model and a photovoltaic power station output power model were established, and simulation analysis was conducted using Matlab and other software. The analysis evaluated the condition of solar energy resources in the Baicheng region in the western part of Jilin province, China. The characteristic curve of the power output from a photovoltaic power station was obtained by simulation calculation. It was shown that the monthly average output power of the photovoltaic power station is affected by seasonal changes; the output power is higher in summer and autumn, and lower in spring and winter.

微电网日前优化调度的研究

本文研究的是微电网日前优化调度的问题。要求在蓄电池、可再生能源光伏发电、风机发电及微网与电网交换功率相互协调组合情况下，计算各时段负荷的供电构成、全天总供电费用和平均购电单价。首先对文中附件数据分析，分别建立分时段计算模型、单目标整数规划模型、单目标非线性优化模型；然后结合两位二进制枚举法，利用MATLAB编程，分别求出平均购电单价、全天总供电费用、各时段负荷的供电构成三个分指标；最后通过求解得到的数据进行图像分析，从而得到可再生能源的利用情况。 This paper studies the problem of micro-grid optimization. Requirements in the battery, renewable energy photovoltaic power generation, fan power generation and micro-network and power grid exchange power in a coordinated combination of circumstances, calculate the composition of the load of each time, the total power supply costs and the average purchase price. Firstly, the data of the attachment are analyzed, and the time-interval calculation model, the single-objective integer programming model and Single Target Nonlinear Optimization Model are established respectively. Then, combining the two binary enumerations, the three sub-indicators of the average purchase price, the total power supply cost and the load of each period are calculated by MATLAB programming; finally, the image is analyzed by the obtained data, and the utilization of renewable energy is obtained.

Analysis of Current Situation and Countermeasure of Solar Energy Photovoltaic Power Generation in Beijing

As the world economic development, environmental problems are increasingly serious and renewable energy use by the peoples of common concern. Beijing as the capital of China, is a densely populated city, the increasingly serious environmental problems, the energy consumption also increases, which not only affects people's daily life, but also influence the whole nation's image. The development of solar photovoltaic (PV) generation in Beijing has certain inevitability; its development is mature day after day. But in the course of its development there still exist various problems, therefore, the development of photovoltaic power generation system in Beijing also need further perfect and corresponding support.