Research on power grid operation and maintenance cost based on analysis of internal and external influence factors

Abstract

In the context of the company's cost-reduction reform, lean production operation and maintenance cost management as the goal, production and maintenance cost analysis as the carrier, the existing power grid production and maintenance business and financial accounting costs to achieve "industry-finance integration" as the goal of management projects. Under the strategic background of reducing cost and increasing benefit, the implementation of this project is of great significance to optimize the main part of the cost of the company to optimize the configuration of production cost, to control reasonably, to enhance management.

Big Data Analytics Using Cloud Computing Based Frameworks for Power Management Systems: Status, Constraints, and Future Recommendations

“…Some points that need improvement due to the limitations of previous work are personal ability and data source: The data capacity is still not large enough, and the data dimension change interval is small [ 221 ]; the electricity data comes from residential electricity consumption and does not include electricity consumption data in other areas such as industrial electricity [ 222 ]; The coverage of parallel algorithm design is relatively narrow, and the application range in power system data processing is not wide enough. However, with the increasing informatization of the power system and the continuous quantification of power data, the application scope of data mining technology continues to expand.…”

“…The data capacity is still not large enough, and the data dimension change interval is small [ 221 ]; the electricity data comes from residential electricity consumption and does not include electricity consumption data in other areas such as industrial electricity [ 222 ];…”

Modeling and Optimization for Cost Optimization Model of Material Distribution System in Power Distribution Network--A Case in Hunan

“…Materials of distribution network components such as transformers, switchgear, cables, and lines have great impact on the efficiency and stability of the power system. However, there are currently issues including high loss of goods, expensive distribution costs, and limited information technology integration in China's logistics and distribution of distribution network materials [1,2]. For the distribution of emergency supplies related to electric power supplies, Liu et al [3] proposed a three-level network post-disaster material dispatch distribution model and improved NSGA-II algorithm based on the application of big data with the goals of post-disaster relief material demand prediction, distribution path optimization, distribution node optimization, and disaster victim satisfaction.…”