The source network load storage collaborative optimization management system includes energy saving control system, load peak shaving system, power generation management system and energy storage management system, through overall calculation, intelligent distribution, precise control, comprehensive dispatching and other ways, to maximize economic benefits on the premise of ensuring the safety and stability of the energy side.
The continuous innovation and progress of new energy technology will further promote the development of new energy. For example, continuous improvements in solar cells and wind power technologies will reduce costs and improve efficiency, making renewable energy more competitive.
It meets the goal of carbon neutralization. With the reduction of dependence on traditional fossil fuels, renewable energy will get more attention and investment.
In order to solve the intermittence and instability of renewable energy, energy storage technology will become very important. The development of battery technology and hydrogen energy storage technology will help balance energy supply and demand and improve the reliability and availability of renewable energy.
Governments will promote the development of new energy through policy support and market mechanisms. These include the development of stricter carbon emission standards, subsidies and incentives, and the establishment of carbon trading markets to encourage companies and individuals to adopt more new sources of energy.
Some challenges will be faced in the process of energy transformation, such as the protection of the interests of the traditional energy industry, the needs of infrastructure construction, and so on. But at the same time, it will also bring new business opportunities and employment opportunities to promote economic growth and sustainable development.
The artificial intelligence technology of "knowledge graph + machine learning" is applied to the field of load-storage collaborative optimization of source network. Through the overall calculation and comprehensive scheduling of "new energy resources (such as solar energy, wind energy, etc.), charge and discharge of energy storage equipment, load peak regulation response, intelligent energy saving", to ensure the maximization of economic benefits under the premise of energy safety, and to achieve the balance between power supply and demand.
Real-time monitoring: monitor the running status information of all mechanical and electrical equipment, such as new energy equipment, energy storage equipment, and transmit it to the management platform in real time. Data analysis and prediction: use big data analysis and artificial intelligence technology to provide decision support for new energy power generation, energy storage, data analysis, prediction of power generation, storage and other parameters. Fault diagnosis and maintenance: by monitoring equipment operation data, finding equipment faults in time, and providing fault diagnosis and maintenance suggestions, in order to reduce equipment downtime and improve energy efficiency. Energy optimization management: according to real-time data and prediction analysis results, optimize the energy system to improve energy efficiency and economy. Remote control and operation: provide remote monitoring and remote operation functions, you can remotely control the running status and parameters of new energy equipment through the network to achieve remote management. Energy saving, emission reduction and environmental protection: through the intelligent control of equipment, promote the rational use of energy, reduce energy consumption, reduce carbon emissions, and achieve the purpose of energy saving, emission reduction and environmental protection. The application of source network load storage collaborative optimization management system can cover many fields, such as solar power generation, wind power generation, hydropower generation, energy storage, energy saving, peak regulation and so on. It is of great significance to improve the efficiency of new energy utilization, reduce energy costs and ensure energy security.
