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Based on the experimental data, the life characteristics of lithium-ion battery were analyzed. According to the experimental data statistics, the battery life changes with the number of cycles, the performance of the battery after repeated use is studied, and the changes of battery capacity, discharge efficiency, energy efficiency, internal resistance and other parameters with the battery life are explored. The mathematical model of battery life and battery usage times is established by curve fitting, and the SOH of battery is predicted according to this model. Finally, the SOH of Li ion battery is estimated according to the voltage curve fitting method. Firstly, the battery charging curves under different discharge rates and different SOH are normalized, and the charging voltage error after normalization calculation is compared. According to the existing experimental data, the SOH estimation algorithm of 92Ah lithium-ion battery is verified, the estimation accuracy of voltage curve fitting method is verified, and the estimation results of SOH are analyzed.

The direct energy balance control strategy is analyzed and combined with the characteristics of supercritical units. The direct energy balance strategy is reconstructed. The reconstructed direct energy balance signal is applied to the boiler master control feedforward in the coordinated control, taking a power plant’s coordinated control system as an example, t. Thus, it is applied to the control of supercritical units, which improves the regulation quality of the control system in a steady and dynamic state, and effectively solves the problems of large fluctuation of mainstream pressure, locked increase, and decrease of load command, frequent withdrawal of coordinated control and unqualified AGC index.

This paper uses a predictive control algorithm based on ant colony optimization (ACO) and support vector machines (SVM) to simulate the actual historical data of power plant boilers based on the problem that the traditional PID control of boiler combustion process is difficult to achieve the desired control effect, and concludes that the algorithm can effectively overcome the nonlinear, strong coupling, multi-object and large delay characteristics of power plant combustion process. However, its applicability needs to be improved.

With the increasingly strict assessment of grid AGC, the energy storage system's participation in AGC FM technology has ushered in a good development opportunity. This paper introduces the application status, basic principle and application effect of the largest energy storage system put into power plant in China. This paper analyzes the performance index and economic benefits of the integrated frequency modulation before and after the energy storage system put into operation.

Traditional PID is widely used in the main steam temperature control system of thermal power unit Cascade control. Although this control scheme is easy to be debugged on site, it is impossible to solve the problem of large fluctuation and over temperature of steam temperature only by adjusting PID parameters due to the characteristics of variable parameters, large inertia and large time delay of main steam temperature control system. Especially when the AGC command of power grid fluctuates frequently, the conventional control strategy is difficult to deal with, resulting in the change of main steam temperature regulation quality Poor, affecting unit economy and safety. In this paper, the sub PID set value adaptive control logic and desuperheating water injection logic to prevent the main steam temperature overshoot are used to solve the problem of the quality deterioration of the main steam temperature regulation under the frequent fluctuation of AGC instructions.

With the increasing requirements for FM quality in power systems, more and more high-quality FM resources are participating in the FM auxiliary service market. This paper proposes a SOC control strategy based on index calculation and considering AGC power unit performance evaluation criteria. This strategy defines control strategies such as charging and discharging during idle time to keep the energy storage system SOC at 55%.This control method was first applied in a 10MW/5.6MW·h project of a power plant in Guangzhou. The application effect of the project shows that the control strategy has strong practicability and good application effect. Compared with other strategies, this control strategy increases the performance of the energy storage system by 3 to 4 times and greatly improves the economic benefits of the power plant.

In recent years, a large number of electrochemical energy storage projects have gradually emerged and capability of battery is also becoming central issue for research. The battery control strategy directly affects the response to AGC (Automatic Generation Control). If the control is improper, it is easy to cause the remaining power of each battery cluster unbalanced and influence the battery life. This article mainly focuses on the research on the distribution of power commands from the battery management system, and proposes a power distribution method. The method was put into practice in an energy storage project which got good results.

In recent years, some power plants in China can’t start the DC oil pump normally in emergency due to the faults of DC oil pump power supply system and imperfect control circuit. It caused the turbine to cut off the oil and burn the Bush, which caused a serious accident. In view of the importance of DC oil pump, this paper analyzes the interlock logic, start stop permission, direct circuit and power system configuration of DC oil pump, put forward the treatment measures. It is of great significance to prevent the oil cut-off and Bush burning accident of steam turbine.

The 21st century is the century full of information. The data compression is an indispensable key technology in the information society. We use adaptive swinging door trending in the historical data compression of the heating data center. The experimental results show that the algorithm can compress the historical data faster, obtain a higher compression ratio, and ensure that the decompressed data has higher accuracy.

Based on PLC, the improved coal feeding system of thermal power plant is developed, which solves the problems of poor timeliness and inaccurate quantity of coal feeder. In the process of belt transportation, a dynamic coal feeding rate is established. By controlling the coal feeding rate and then controlling the running speed of the belt, a certain amount of coal is supplied to the thermal power plant, so as to provide more accurate coal, improve the corresponding timeliness, and have better economic benefits.

A thermal power unit is a very complex non-linear multi-variable control object. It has the characteristics of strong coupling, large inertia, large delay and time-varying parameters. The traditional mathematical model is difficult to describe the non-linear characteristics among the parameters of the unit, and it is difficult to meet the control requirements of unit load, main steam pressure and so on. Based on the more advanced BP neural network modeling method, the mathematical model of the operation of 600MW thermal power unit under low, medium and high load is established by using the actual operation data on site. The method used is novel, and the simulation analysis shows that the model also has a strong engineering practice.