Scalable Design For Information Management System Of Provincial Power Grid And Power Plant

With the rapid development of China’s electric power system, China’s power grid continues to expand the scale. The installed capacity has reached1144.91million by the end of2012, and will be over1.2billion, ranking as first in the world in late2013. The hydropower has increased from36.046million kW in1990to213million kW at the end of2010. Meanwhile, the interest in the new energy industry has driven forward its growth and this area is becoming a new spot for economic growth worldwide, the power source type develops from hydropower and thermal power to hydropower, thermal power, photovoltaic, pumped storage and so on. According with the expanding of installed capacity and power types, the operators are facing the challenge of system management and document management. At present stage, centralized control and level-to-level administration are the major characteristics of the electrical production departments. Provincial grid, regional power, county power and plants have different management styles and tasks on data management, which is difficult to find a universal figures and charts for the mode of representation. In addition, the problem of dynamic production and the increasing properties exist. The traditional management system could not meet the demand of operators, which cry for the new management system with individual customization of report forms and strong scalability and upper dependability.Aiming at actual demands for scalability of data management system for plants in multi-levels power grid, this paper presented a design scheme for plants in a provincial power grid. And the actual test case shows that the proposed scheme is feasible and effective. A database table based on scalability with recursive data structure is put forward to satisfy the needs of dynamic production and attributes update of plants in a provincial power grid. To adapt to different management patterns, a user-defined report with user-defined formulas is designed. In this design pattern, depth-first algorithm is adopted to analyze formula and data buffer technology is imported to improve the system performances and realize decrease in database hits. At the same time, technologies of access control and log trace are combined to ensure data security. This paper also presented a common export capability for user-defined reports that highly simplifies the management and operation of the reports and realizes the function of merging multi-reports.Finally, an application of data management system for plants in a provincial power grid is presented and a further research in the future is prospected in this paper.