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Abstract

Despite significant changes of a political, legal and economic nature, despite clearly expressed intentions, the natural environment of most areas of Europe is further degraded. Therefore, it is necessary to adopt effective solutions, and one of the possibilities of determining the directions of support is the pro-ecological nature of the regional innovation strategy, which will allow transfer of much larger funds to support eco-innovation. The work is a case study. The aim of the research presented in this work is to show the relationship between the provisions of the Regional Innovation Strategy of the Podkarpackie Voivodeship for 2014-2020 for intelligent specialization (RIS3), and the assumptions of the five-helix concept, and the justifi cation for its use in future, in the form of a developed regional eco-innovation strategy.
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Abstract

Both the growing number of dispersed generation plants and storage systems and the new roles and functions on the demand side (e.g. demand side management) are making the operation (monitoring and control) of electrical grids more complex, especially in distribution. This paper demonstrates how to integrate phasor measurements so that state estimation in a distribution grid profits optimally from the high accuracy of PMUs. Different measurement configurations consisting of conventional and synchronous mea- surement units, each with different fault tolerances for the quality of the calculated system state achieved, are analyzed and compared. Weighted least squares (WLS) algorithms for conventional, linear and hybrid state estimation provide the mathematical method used in this paper. A case study of an 18-bus test grid with real measured PMU data from a 110 kV distribution grid demonstrates the improving of the system’s state variable’s quality by using synchrophasors. The increased requirements, which are the prerequisite for the use of PMUs in the distribution grid, are identified by extensively analyzing the inaccuracy of measurement and subsequently employed to weight the measured quantities.
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