Develop power grid reality from virtual: Energy change of digital twins

Recently, high temperature, rainstorms, hail, and floods have been staged in turn. The frequency of extreme weather also makes more and more people feel the harm caused by the greenhouse effect.

In order to cope with global warming, choosing the road of carbon neutrality has become the consensus of many countries. In the context of dual carbon strategy, we know that the development of renewable clean energy is the top priority. After all, almost three -quarters of the carbon row in high carbon rows of human beings comes from energy consumption. In the process of developing resources such as landscapes and electricity, the grid of renewable energy is the key. Because of the remarkable interval and strong random volatility of renewable energy, after accessing the large power grid, it brought strong fluctuations to the system, affecting the stability and security of the power grid.

In the effective measures to solve clean energy grids, energy storage and virtual power plants are effective ways. In the previous virtual power plants and energy storage articles, the brain is introduced in detail. Simulation simulation digital twin technology mapping is also an important measure. Today, I talked with everyone's application, value and bottleneck in the energy grid.

Photovoltaic simulation simulation at the time

From the perspective of energy side, in terms of clean energy photovoltaic power generation, its whole life cycle requires strict production safety management. Therefore, the full path of energy production to transmission requires safe and controllable technology to manage all processes to manage all processes. Essence Focusing on "digital twin" technology, based on rich data as the core, all the processes from prediction, production to transmission can be supervised.

In the photovoltaic power generation equipment, specifically, the digital twin technology of simulation simulation is mainly based on the core levels of the diagnosis, production debugging, operation analysis, and safety control of the state.

During the photovoltaic power generation process, changes in the position, angle, lighting, and wind speed of photovoltaic solar panels will affect the changes in solar power generation power. If you can predict the power generation power in advance according to the simulation technology, you can solve the power grid leveling well. The problem. Only the prediction of the energy -side power generation side is accurate and timely, can the downstream conveyor be left enough time to deploy the energy storage limit.

At the same time, the photovoltaic power plant is also required to report the estimated power generation power of the report every time. Therefore, the prediction function of the simulation simulation is necessary for major photovoltaic power stations. Previously, in terms of photovoltaic power generation functions, the industry used the method of algorithm prediction, but because of the "black box" characteristics simulated by the algorithm and some sudden weather influencing factors, the method of accurate algorithm cannot be applied. Gradually replaced by the technical ideas of digital twins.

Digital twin technology can restore the shape, structure and geographical location of the entire photovoltaic power plant 1: 1, and then use the physical simulation model to enter the external parameter change (such as wind speed, temperature and weather conditions). Simulation, make pre -judgment in advance.

Because of the successful application of digital twin technology in the fields of industry, smart cities, and smart buildings, the application in the field of clean energy has also made many people in the field of industry look forward to it. At present, there are only a handful of service companies that can provide photovoltaic prediction technology throughout the industry. Several minority companies that are mainly Solargis are well -known in foreign countries. blank.

The main reason for the difficulty of photovoltaic prediction is that photovoltaic simulation simulation has high requirements for meteorological data, and the correlation of the fusion data is not high, such as solar light, meteorological physics, terrain and localforms, and the occasional frequency of meteorological data is not frequent. Low, it also affects the accuracy of forecasting. If you want to improve the accuracy of the mutual coupling of all kinds of models, high requirements for the collaboration of composite talents and expert -type talents. The high professional barriers in the field of photovoltaic simulation simulation are not difficult to understand.

With the continuous landing and continuous evolution of digital twin technology, for the expansion of the photovoltaic market and the continuous improvement of the installation volume, photovoltaic simulation simulation is "glowing" and becoming a field of domestic enterprises began to lay out. From the perspective of data security, because of the core data such as land resources and meteorology, domestic simulation digital twin technology development is just at the time.

Digital twin: wound "Ling neckline"

Photovoltaic simulation simulation is a typical digital twin scenario application in the energy production stage. Digital twins monitor and simulate the operation status and operating environment of photovoltaic power stations through the simulation model of virtual mapping. The optimal operation strategy not only obtains higher power generation power, but also predicts the power generation power of power generation power in advance.

On the side of the energy transmission, digital twins can control the safety and optimization of the transmission process. Through big data and intelligent algorithms, monitor the grid in real time and early warning the problems that may occur in the power grid in time to facilitate the supervision of managers to improve the operating performance of the cable equipment and increase the service life of the equipment.

On the side of energy distribution, digital twins can be used to virtue the device to virtue of the equipment for a large amount of substation in the energy distribution link. With the assistance of intelligent security monitoring equipment, the association mapping of massive data and physical equipment is realized. The platform is displayed in real time to form a digital twin transformer station to enhance the economy and security of energy distribution. Digital twin technology can be deeply involved in the entire life stage of the energy field to improve controllability and production safety.

For digital twins, the core is data, whether the source of data is abundant, accurate, etc., all affect the results of the simulation. For foreign Solargis companies, their photovoltaic power generation model tools are all research and collaboration with top laboratories and photovoltaic industries, and have accumulated the data of climate and photovoltaic manufacturers for decades. For companies that want to lay out, whether it can obtain accurate and rich data in the data field is also a test.

The process of data integration is difficult. Digital twin technology involves many different types of data collected. In the process of simulation and modeling, it is difficult to coordinate the coupling between unrelated data. At the same time, the technologies involved in digital twins include 5G, Internet of Things technology, cloud computing, simulation simulation technology, AI technology, etc. The coordinated development of these technologies is not mature, and the platform model after digital twin is standardized.

Building imitation technology needs to be broken, and the theoretical methods and key technologies in the construction of simulation technology need to be improved, because the data and parameters involved in digital twins need to combine different types of data such as meteorological, terrain, seasons, etc. The difficulty of calculating model fitting is also high, and it is difficult to coupled more accurate models. Coupled with the intermittent characteristics of renewable clean energy, such as seasons and climate, data fluctuations are large, and models with high synthetic accuracy are more difficult.

Whether it is data driver or data+model driver, it has put forward higher requirements for the application of twin digital technology in the energy field. The technology in the early stages of development requires the long -term polishing of the specific scenarios to improve, but it is precisely because of technology. The barriers and development opportunities also bring broad development space to the participating companies.

"Map" Sustainable future

We know that in the context of carbon neutrality, the importance of renewable energy, light, and water in the power system gradually increased, and it is also a necessary way to achieve dual carbon targets in energy changes. According to the forecast of Southern Power Grid in 2021, by 2030 and 2060, the proportion of power generation of Chinese scenery new energy will reach 25%and 60%, respectively. This also means that there are more and more new energy power access to the power grid, and building a smart energy ecosystem has become the development trend of my country's energy industry.

The digital twin technology system of fusion Internet of Things technology, 5G communication technology, big data analysis technology, high -performance computing technology and advanced simulation analysis technology has become the key to solving the development of grid grid -connected and smart energy. Digital twin -combined energy storage equipment, virtual power plants and other technologies can provide a safe and efficient improvement of power grids, and can also help the power grid -regulating and peak -regulating services such as frequency adjustment and peak adjustment. Green digital intellectual transformation.

Although the current application scenarios of digital twins in the field of power grid are mainly based on single -point demonstration projects, the application scenarios are small and the level of intelligence is low. However, with the general trend of double -carbon east winds, and the deep integration of supporting cutting -edge technologies such as the Internet of Things, cloud computing, AI, etc., in the long run, the construction of digital twins in the power grid field will also achieve qualitative breakthroughs.

In the future, the entire power system will usher in large reforms from the side of energy production to the application side. Maybe every device in the future power grid will be connected to digital twins, which can accurately meet the needs of refined management. The granularity will become more and more thinner, and advance towards refined; systematic development is also another development trend of digital twin grids. In the past The integration of regional levels can be regulated and regulated to meet the control of real -time state; with the development of AI technology, marginal technology, cloud computing, etc., the intelligent level of the power grid of digital twins will also increase significantly. Alarm information can also make measures in advance to cope with the stability and economic operation of the entire power energy.

In the grid challenge of large grids, digital twin and energy storage are effective measures, and the planning, construction, and operation of the power grid will play a key supporting role. The application upgrade of digital twin grids will eventually provide technical support for digital twins in the development of smart cities, smart transportation, smart buildings and other fields. These parallel areas migrated and applied to each other, jointly building the intelligent and green development of our digital life in the future.

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