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State Estimator is the basic functionality necessary for the "smart" operation of power networks, both in transmission and distribution side. Being integrated in a power management system and facing different quality of network data, robustness and efficiency are essential to provide accurate estimation of a power network operation state. Distribution State Estimator, applied in Distribution Management System development project in Guizhou Province in China, was tested in field operation. Estimation principles and test results are described in this article.

Dramatic enrichment of high speed communication technology at affordable costs enabled the resolution of problems related to the limitations of power supply. Therefore, introduction of Smart Grid for managing highly controllable power grids has become indispensable. Its very important part is Distribution Management System (DMS). These sophisticated systems execute a large number of workflows with very high resource requirements. In this paper dynamic, centralized scheduling strategies for allocating DMS workflows are presented and compared. Also, a distributed scheduling algorithm for DMS calculation engine is developed. It is argued that minor investment in the resources and introduction of a hybrid scheduling algorithm leads to the significant boost of the system performance. The hybrid scheduling algorithm is the result of combining centralized and distributed scheduling strategies. Experimental study shows that considerable improvement of overall system performance is achieved by using developed algorithms for designing effective schedulers when make-span and workload are optimized.

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