Research on Energy Efficiency Optimization of Energy Internet Data Center Based on Intelligent Energy Technology

With the extensive and in-depth view of the overall situation of energy, energy as an important material basis affects the development and progress of social economy. Through the research on the connotation of energy internet, the development status of distributed generation and the business model of distributed generation, the value sources of distributed generation in energy Internet system are analyzed. The smart energy technology consists of three parts: the energymanagementplatform, the communication system, and the terminal. The characteristics of low-carbonization, flexibility and energy Internet of regional distributed energy systems under the development of energy Internet were analyzed. Research shows that the interaction behavior of multiple subjects in the energy Internet can not only predict the system equilibrium state in advance, but also provide effective feedback for the optimization and improvement of the system operation mechanism.


MATERIALS AND METHODS
The information layer of energy Internet needs to build a communication information system covering all areas and fields of urban energy, which is the wisdom support of energy internet . Turn high energy consumption industry into high efficiency industry. Including smart meter, carbon emission, intelligent operation and maintenance, energy consumption monitoring, energy efficiency management, demand response, user-side appliances, distributed charging piles and other network service modules and control modules coordinate cooperation. The global dynamic optimization of network bandwidth resources is realized through traffic monitoring, flow table delivery, link discovery, and network topology.
There are not only differences in reserves but also differences in characteristics among different energy resources, such as time, space, technology level, storage, pollutant emission, etc. If the merits of one energy source can just make up for the shortcomings of another energy source, then they have the possibility of complementary utilization. The comparison of economics and emissions of various types of energy generation in China is shown in Table 1. With the change of energy structure, the new energy industry has developed rapidly. The high proportion of distributed energy penetration and the large-scale access of electric vehicles make the grid structure more complex and flexible, which has the characteristics of large uncertainty, strong non-linearity and complex coupling relationship. In the user side of energy internet, according to business modeling, data acquisition function is an important part of it. In the field of new energy, the Internet of Things (IOT) can provide data links for distributed generation systems, decentralized off-grid micro-new energy systems, such as wind-solar complementary street lamps, wind-solar complementary monitoring and control, photovoltaic water pumping and so on, which are almost unrestricted by geographical boundaries. Coordinating dynamic pricing, supply strategy and storage management of power supply micro-units based on demand side analysis will become the basic functions of energy internet. The framework of the Energy Internet is shown in Figure 1. Distributed network business integration will inevitably require efficient data acquisition technology as a support. The data collected by the users contained in an area is collected in the regional control center and then transmitted to the remote server main station to prepare for subsequent processing of the analysis data.

Fig. 1 Energy Internet framework
The energy industry's energy Internet has subverted the traditional energy development model, achieved multi-energy synergy development, and can exert the comparative advantages of various energy sources; it has subverted the global traditional power grid structure and unconditionally obeys the electricity side from the traditional power generation side. In the qualitative comprehensive analysis, the reliability of the road network is related to whether the electric vehicle can successfully reach the intended destination, which will affect the vehicle properties of the electric vehicle.The commercial value of microgrid in the energy internet, as an independent market subject, participates in the energy internet. The global grid-level communication network framework is shown in Figure 2. However, with the increase of energy Internet traffic, the traffic control, logical network partition and resource utilization of communication network can not be considered comprehensively. Lack of logical control plane will make the network "unknown" and "uncontrollable". Participate in carbon trading by using green and clean energy; participate in electricity trading as an independent market participant; provide peak shaving and other ancillary services, participate in global energy optimization, and integrate with energy internet.

Fig. 2 Global Grid-Level Communication Network Framework
At the level of energy information management, it can transmit and publish the management data and service information related to electricity price and electricity quantity. The use of energy-based LANs with advanced energy routers as the core device enables energy "in-place production, on-site transactions, and local use". Reduce problems such as line loss caused by long-distance transmission, and promote the efficient use of renewable energy and energy. The possible forms of energy routers are shown in Table 2 and Figure 3.

RESULT ANALYSIS AND DISCUSSION
As an important energy network in regional integrated energy system, power grid and heat network play different roles in supply. Generally, electric energy and heat energy are independent in production process. However, the power system and the power system can be connected on the power supply side through the cogeneration unit. Power supply combines with the use of large data and is user-oriented, which reduces the transaction cost of electricity. The new business model of electricity market has been born, the information barrier in traditional energy system has been broken, and the comprehensive energy utilization efficiency has been improved. Traditional energy systems cannot respond quickly to the needs of each user. Under environmental constraints and energy structure reform, distributed energy development may bring higher energy efficiency, and there is an incentive for the role of energy demand side and supply side to exchange under benefit sharing mechanism. The selection of convergence switch is realized by the function of network component.  In the regional integrated energy, the electric energy is mainly provided by the conventional thermal power unit, the cogeneration unit and the new energy generator set, and is transmitted through the user side and the V2H system. The specific electric power balance expression is: (1) Total number of conventional thermal power units: I K Total number of cogeneration units:P k-1 Heat energy is mainly supplied by cogeneration units. It is transferred and regulated by user side and energy storage system. The expression of heat power balance in the integrated system is as follows: (2) Direct heating part of heat load: Dk (x,y) Thermal load of the system during the time period: F k Taking each subsystem model as the main constraint condition of the joint scheduling optimization model, wind power is the minimum abandonment wind power in the region, and an integrated scheduling optimization model is established. The energy balance relationship, the objective function is established as follows: (4) Total number of scheduling periods:x,y Continuity of optimization process:B Energy production cost: k Thermoelectric production relationship constraints. The constraint is mainly for the cohesive characteristics of thermal energy and electric energy in the cogeneration unit. Assuming that the Electric heating ratio of cogeneration units:if The constraint combines the production and storage of energy in the cogeneration unit from the perspective of heat flow. The specific expression is: Output of Cogeneration Unit in Time Period:U 0 Operating Interval of Cogeneration Units:U(t) Hybrid energy real-time optimization decision-making combined with predictive and reinforcement learning, and energy equipment failure analysis supported by small sample technology will also become the key research direction. At the same time, smart energy technology will focus on how to interact with the dynamic environment and fully consider the timely, stable and safe decision-making requirements of the power system. The construction of smart energy technology takes the multi-dimensional analysis of information and the integration of cross-professional business as two key points to design and develop a series of practical business applications based on panoramic data center and to meet business needs. Considering that the power generation capacity of each energy source is determined at different time periods, the user groups will influence each other and dynamically change when calculating the benefits obtained by different strategies. Therefore, each user can evolve slowly by changing the component value of purchasing strategy vector to ensure that each individual in the group can evolve under the corresponding constraints. Various analog quantities play an important role in the production, operation, condition monitoring, fault diagnosis, maintenance and maintenance of energy power system, and are one of the important data connection fields of the Internet of Things. The control strategy of the network needs only one deployment to take effect. According to the internal network services and control functions, links can be re-designated with better coping strategies. Therefore, it ensures the reliable transmission of user energy data and user demand response at the same time. The energy consumption is further saved. For example, in the combined cooling, heating and power supply system, the primary energy utilization rate is significantly improved due to the cascade utilization of energy. Energy saving is absolute value and energy efficiency ratio is relative value.

CONCLUSIONS
In this paper, the energy efficiency optimization of energy Internet data center based on smart energy technology is studied. Energy is an important material basis for promoting social and economic progress. From the current situation and utilization of energy, coal, oil and natural gas are still the most important primary energy sources in the world today. Through the information interconnection between distributed renewable power sources and users, as well as between local energy and power networks, we can make better use of the space-time complementarity of distributed power sources in a wide area and the system regulation potential between energy storage equipment and demand-side controllable resources. In a certain spatial structure, under certain constraints, based on environmental protection, economic and other objectives, system planning analyses the shortcomings of traditional power communication network supporting user energy management according to business modeling. In view of the technical characteristics and advantages, this paper proposes an analysis and simulation experiment based on the communication network architecture to support the user's energy management delay, security, reliability and security, and verify the adaptability of the architecture. Through the planning of energy demand, system construction, configuration optimization, and network optimization, the system's capacity, energy, energy, energy storage, and energy-saving processes are implemented, and energy transmission networks, energy information transmission networks, and energy equipment are designed. The Internet of Things, the architecture of the regional energy Internet.