Power line loss model 1: Application of line loss analysis and prediction in power supply management
1 line loss analysis
1. 1 grid power loss
In the process of power transmission from power plant to users, power loss will occur in many links such as marketing, substation, power distribution and transmission. The power loss components of the power grid include some fixed losses and some variable losses.
1.2 Main purpose of line loss analysis
Line loss analysis plays a very important role in power supply management of power supply enterprises. Using line loss analysis, we can find out the weak links in power system operation, such as metering device, equipment performance, system operation and distribution system structure, so as to take relevant measures to control line loss and ensure the rationalization of distribution system structure.
1.3 Main methods of line loss analysis
At present, many methods have been applied to line loss analysis, including distribution line loss analysis and network loss analysis. So-called? Loss analysis? This paper mainly analyzes the transmission and distribution equipment by dividing the line and voltage, and compares the actual line loss value with the actual theoretical value, which is included in the line loss value of the previous year, so as to find out the main influencing factors and adopt scientific and reasonable methods to reduce the line loss. Distribution line loss analysis can not only analyze distribution line loss by dividing line, but also analyze distribution line loss by substation. Enterprises should compare the actual line loss value, the previous period value and the planned value, fully consider the factors of electricity sales and power supply in different periods, finally find out the reasons for the fluctuation of line loss, and then formulate corresponding loss reduction measures.
1.4 Other factors
Line loss will be affected by many factors. Therefore, when analyzing the line loss, it must be comprehensively analyzed in combination with specific conditions, such as the impact of the technical loss reduction target to be achieved this year, and the impact of the change of meter reading time on the line loss rate. In addition, there are many factors that will affect the line loss rate, such as inadequate meter reading, unbalanced bus power, conducting electricity survey, changing lossless power and so on. Through the analysis of the above factors, we can find out all kinds of loopholes in management or technology, so as to take effective measures to control line loss.
2 Application example analysis
Taking a power supply enterprise as an example, the actual situation of line loss analysis is analyzed and studied.
2. 1 Complete the overall line loss index analysis.
Through the investigation of relevant data, it is found that in 20 14 years, power supply enterprises have achieved a comprehensive line loss rate of nearly 4%. Compared with the same period of last year, this year's comprehensive line loss rate decreased by 0.05 percentage points. At the same time, compared with the internal control indicators of enterprises, there has also been a significant decline. Through the analysis of this index, it can be found that the power supply of the enterprise increased in the first half of the year, which reduced the overall comprehensive line loss rate to some extent. Except for a slight increase in the low-voltage line loss rate, the other line loss rates have also decreased to some extent. Therefore, on the whole, the line loss management of power supply enterprises has achieved good results, and the line loss control index is relatively perfect.
2.2 The main work of enterprise site management
The main work of enterprise site management in the first half of the year includes: ① Strictly control indicators and steadily reduce line losses. In the specific meter reading work, random sampling of meter reading quality can effectively implement the on-site meter reading system and greatly improve the accuracy of meter reading. In the process of electricity accounting, we should carefully analyze the line loss rate of each line and station area, so as to find all kinds of problems in the process of meter reading in time and calculate the electricity correctly. In addition, after the completion of electricity accounting, it is necessary to analyze the overall completion of line loss index and the composition of power loss of each voltage level, so as to find various problems and defects in time and take a series of solutions. (2) Enterprises should strengthen the management of gateway meters, accurately count related line losses, and monitor the operation of meters in real time. Once all kinds of faults are found in the electric meter, you should contact relevant departments to replace or repair related tools in time, effectively narrow the fault range, shorten the impact time and calculate the line loss more accurately.
2.3 Problems in line loss analysis
There are two problems in line loss analysis of enterprises: ① The number of stations and peak lines has not decreased. Through correlation analysis, it can be found that compared with the same period of last year, only two lines with high line loss rate were reduced, and two lines with high line loss rate were reduced at 14 station. Although the relevant departments have attached great importance to the management of high line loss stations and lines, in the specific implementation process, we still need to continue our efforts, combine the previous loss reduction measures, and boldly innovate the line loss analysis technology in order to significantly improve the management effect. ② There is still much room for improvement in the quality of meter reading. In the process of specific meter reading, in addition to obtaining accurate values, it is also necessary to find those fault meters in time and carefully analyze the specific situation of users in order to take effective treatment measures. Specifically, in the management of network loss, we should give full play to people's subjective initiative, and staff should strictly implement relevant regulations and disciplines, comprehensively analyze and study the situation on the spot, and find all kinds of loopholes and problems in management in time. Only in this way can we effectively reduce the power consumption and control the influence caused by human factors to the maximum extent.
3 Conclusion
With the continuous improvement of industrialization and the acceleration of urbanization in China, the demand for energy is increasing. Faced with this situation, we must take effective measures to save energy and reduce losses, reduce line losses and significantly improve the economic interests of power enterprises. Therefore, we must actively solve the line loss problem in the operation of power enterprises from management and technology.
Power line loss model paper 2: power supply management paper under line loss analysis and prediction
1 Application Analysis of Line Loss Analysis and Prediction in Power Supply Management
Power production system is a huge and complex system, which is composed of various components, and the total power loss of each component can be reasonably expressed by load loss.
1. 1 Reasonable calculation method of power load
There are many methods to calculate power load reasonably, such as coefficient method, binomial coefficient method, total electricity consumption method and so on. Among them, binomial coefficient method is suitable for load calculation of most trunk lines or branch lines in power production system.
1.2 Influence of transmission between two adjacent power grids on line loss
Assuming that the power grid does not transmit electric energy to other power grids, the power grid sells B and generates W, the line loss efficiency of the power grid is: W%=K%+CB=F%( 1+? )。 Where F% is the loss efficiency of the load. Is the ratio of loss efficiency to structure. When the power grid transmits electric energy B 1 to other power grids, what is the ratio of the total electric energy transmitted to the power generation? Then the line loss efficiency is W 1%=W%([ 1+? )2+? ]/([ 1+? )( 1+? )]。
1.3 Influence of actual total power supply increase on line loss
As far as the current situation is concerned, there are many methods of load budget in power industry, such as regression analysis, department analysis and density method. Although these budget methods can achieve the same goal, they are also very different in essence, which leads to their different characteristics. Therefore, under the comparison of these budget methods, density method is the most widely used method in power supply management. The principle of this method is: through the reasonable investigation of power supply stations, the total amount of electricity consumption is counted, and the collected data is effectively classified and sorted according to the needs of each power supply station, and then the load distribution is reasonably analyzed and budgeted according to the power supply density standards of each power supply station. At the end of the budget, these data can be counted, and finally the total load value of all power supply stations in the second year can be estimated. Through density analysis, we can get E=2e/( 1+? )。 Where e is the increase probability of actual total power supply and e is the increase probability of total power consumption of line loss. Therefore, it can be seen from the above formula that the increase of actual total power supply will directly increase the total power consumption of line loss.
1.4 Influence of improving power coefficient factor of power system on line loss
At present, the power coefficient factors of most power supply stations are relatively low. This happens because there are many inductive loads in the process of power transmission. Therefore, the line loss will increase exponentially with the gradual decrease of the power coefficient factor in the power system when the total power of power production is unchanged. Now assume that the total power is q, and the power coefficient factor of the power system is determined by? 1 up? 2, then the result of line loss can be expressed as: Q=( 1-? 2 1/? 22)? 100%。 It can be seen that in order to reduce the total power loss of line loss, it is necessary to improve the power coefficient factor of power system.
1.5 direct influence of management line loss on line loss
Management line loss is a direct line loss to the whole power system due to improper management methods adopted by managers. The calculation method of this line loss is the difference between the actual line loss and the theoretical line loss. Among them, the calculation formula of actual line loss is: H=([D-)I/D)? 100%。 In this formula, H represents the actual line loss probability, D represents the actual total power supply and I represents the actual total power sales. Theoretical line loss is the line loss calculated theoretically according to the actual parameters of power supply equipment, the operation mode of power grid at that time, the actual situation of power flow distribution and load distribution.
Analysis of the influence of the application of line loss analysis and prediction in power supply management on China
Applying line loss analysis and prediction to power supply management can not only reduce the total power consumption of line loss, but also improve the efficiency of power transmission to a great extent, so that the power industry can bring me more economic benefits. Therefore, aiming at the analysis and prediction of line loss, this paper makes a simple analysis and discussion on the impact of its application in China's power supply management, which is summarized as follows:
1) provides more abundant electric energy resources for China.
2) The cost of power generation in power supply station is reduced.
3) Improve the overall economic development level of China.
4) It has promoted the further development of China electric power industry.
5) It has laid a solid foundation for the production of China electric power industry.
3 Conclusion
To sum up, power engineering is directly related to the lives of the broad masses of people in our country, and also directly affects the overall economic development level of our country. Therefore, managers must adopt the most effective line loss analysis and prediction methods to budget the power loss when managing. This can provide more valuable reference data for the development of the power industry, thus greatly reducing the total loss of electric energy during the operation of the power grid.
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