A Hybrid Simulation of Converter-Interfaced Generation as the Part of a Large-Scale Power System Model

This study aims to propose an alternative hybrid approach to model renewable energy sources (RESs), which provide the most reliable results in comparison with the existing simulating tools. Within the framework of this approach, a specialized hybrid processor for modeling converter-interfaced generation (CIG) is developed. This study describes its structure and validation in the test system by comparing the results with commercial modeling tools, and also presents experimental studies of its operation as parts of the practical power system. The results obtained confirm the adequacy of the developed tools

Comprehensive validation of transient stability calculations in electric power systems and hardware-software tool for its implementation

Reliability and survivability of electric power systems (EPS) depend on transient stability assessment (TSA). One of the most effective way to TSA is time-domain simulation. However, large-scale EPS mathematical model contains a stiff nonlinear system of high-order differential equations. Such system cannot be solved analytically. At the same time, numerical methods are imperfectly applied for such system due to limitation conditions. To make it appropriate, the EPS mathematical model is simplified and additional limitations are used. These simplifications and limitations reduce reliability of simulation results. Consequently, their validation is needed. The most reliable approach to provide it is to compare the simulation results with the field data. However, in practice, there are not enough data for such validation. This paper proposes an alternative approach for validation - the application of a reference model instead of field data. A hardware-software system HRTSim was used as a reference model. This power system simulator has all the necessary properties and capabilities to obtain reliable information required for comprehensive validation of transient stability calculations in EPSs. Main disturbances leading to instability in EPSs are investigated to conduct the validation (processes in cases of faults, single-phase auto-reclosing operation and power system interconnection). Fragments of corresponding experimental studies illustrate the efficiency of the proposed approach. Obtained results confirmed the possibility of the developed approach to identify the causes of numerical calculation errors and to determine disturbances calculated with the significant error. In addition, experimental studies have revealed that numerical calculations error depends on disturbances intensity

Research, Development and Application of Hybrid Model of Back-to-Back HVDC Link

Recent hybrid simulators (or co-simulators) of the electric power system are focused on scientific and research features to propose and develop novel and more accurate simulators. The present paper demonstrates one more hybrid modelling approach based on application and combination of three modeling approaches all together: physical, analog and digital. The primary focus of the proposed approach is to develop the simulation tool ensuring such vital characteristics as three-phase simulation and modeling of a single spectrum of processes in electric power system, without separation of the electromagnetic and electromechanical transient stages. Moreover, unlimited scalability of the electric power system model and real-time simulation to ensure the opportunity of data exchange with external devices have been considered. The description of the development of the hybrid model of back-to-back HVDC link based on the proposed approach is discussed and analyzed. To confirm properties of the mentioned hybrid simulation approach and hybrid model of back-to-back HVDC link, the simulation results of the interconnection of non-synchronously operating parts of the electric power system; power flow regulation; dynamic response to external fault and damping of power oscillation in electric power system are presented and examined. Moreover, to confirm the adequacy of the obtained results, the comparison with a detailed voltage source converter HVDC model (Simulink Matlab) and Eurostag software are introduced

Full probabilistic characteristics of power losses in the electrical power system branches

Stable operation of the electrical power system (EPS) is one of the main issues considered in the power industry. Current levels of electricity consumption lead to the need to increase the generated capacity, repeatedly converting and complicating the original circuit. In addition to this, given the current trend towards the use of renewable energy sources (RES), more and more uncertainties are added, that are difficult to predict. Events in the EPS, and especially in the case of RES, are deterministic, i.e. random. This leads to the fact that it is difficult to fully assess the EPS stability and the possible power loss. It is also difficult to determine the amount of permissible power generated by RES, which will not lead to subsequent mode violations. The purpose of this article is to test the developed SIBD method for obtaining the full probabilistic characteristics of power losses in each branch. This method, unlike the Monte Carlo methods, does not use a random sample of initial data, but completely covers the studied functional dependence (FD). The method is used to obtain the probability distribution laws (PDLs) of power losses in transmission lines based on unmodified IEEE 30-Bus and IEEE 14-Bus systems and their examination. These laws are necessary for further determination of the optimal EPS operating modes, to solve the problem of determining the optimal RES installation, the required amount of renewable generated energy in a non-deterministic way

Full probabilistic characteristics of power losses in the electrical power system branches

Stable operation of the electrical power system (EPS) is one of the main issues considered in the power industry. Current levels of electricity consumption lead to the need to increase the generated capacity, repeatedly converting and complicating the original circuit. In addition to this, given the current trend towards the use of renewable energy sources (RES), more and more uncertainties are added, that are difficult to predict. Events in the EPS, and especially in the case of RES, are deterministic, i.e. random. This leads to the fact that it is difficult to fully assess the EPS stability and the possible power loss. It is also difficult to determine the amount of permissible power generated by RES, which will not lead to subsequent mode violations. The purpose of this article is to test the developed SIBD method for obtaining the full probabilistic characteristics of power losses in each branch. This method, unlike the Monte Carlo methods, does not use a random sample of initial data, but completely covers the studied functional dependence (FD). The method is used to obtain the probability distribution laws (PDLs) of power losses in transmission lines based on unmodified IEEE 30-Bus and IEEE 14-Bus systems and their examination. These laws are necessary for further determination of the optimal EPS operating modes, to solve the problem of determining the optimal RES installation, the required amount of renewable generated energy in a non-deterministic way

Biodiversity revision of a large arctic region as a basis for its monitoring and protection under conditions of active economic development (Nenetsky Autonomous Okrug, Russia)

In the scope of implementing a UNDP / GEF / Ministry of Nature project, a database and a GIS to consider the biodiversity of the Nenetsky Autonomous Okrug were developed. They include information on 2035 animal and 1640 plant species, belonging to 15 model groups. Data were obtained using publications and unpublished sources, the results of studying collections / herbaria of four institutes of the Russian Academy of Sciences, and data of fieldwork (2015) conducted in three coastal areas of Bolshezemelskaya Tundra. The taxonomic richness of the Nenetsky Autonomous Okrug biota is not lower (even higher in some animal groups) than in other large Arctic regions (e.g. Taymyr and Greenland). Some new vegetation syntaxa have been described. And some phytogeographic boundaries have been established. Several animal taxa have been described for the first time for science. Some of species were neither previously recorded in the Nenetsky Autonomous Okrug nor formerly known from Europe («Siberian» species), nor from Russia. Concerning types of ranges, the proportion of species having predominantly Siberian / East Palaearctic / Siberian-Nearctic ranges varied in different model groups from 0% to 30%. The fraction of arctic (in a wide sense) species ranged from 0% to 29%. We considered the status of the natural environment of the Nenetsky Autonomous Okrug to be satisfactory so far as its destruction is particularly local. We strongly confirm the need to create new Protected Areas. The material obtained during the project processing has been applied to the organisation of sanctuaries in the Khaipudyrskaya Bay and Pakhancheskaya Bay, Barents Sea

A raster version of the Circumpolar Arctic Vegetation Map (CAVM)

Land cover maps are the basic data layer required for understanding and modeling ecological patterns and processes. The Circumpolar Arctic Vegetation Map (CAVM), produced in 2003, has been widely used as a base map for studies in the arctic tundra biome. However, the relatively coarse resolution and vector format of the map were not compatible with many other data sets. We present a new version of the CAVM, building on the strengths of the original map, while providing a finer spatial resolution, raster format, and improved mapping. The Raster CAVM uses the legend, extent and projection of the original CAVM. The legend has 16 vegetation types, glacier, saline water, freshwater, and non-arctic land. The Raster CAVM divides the original rock-water-vegetation complex map unit that mapped the Canadian Shield into two map units, distinguishing between areas with lichen- and shrub-dominated vegetation. In contrast to the original hand-drawn CAVM, the new map is based on unsupervised classifications of seventeen geographic/floristic sub-sections of the Arctic, using AVHRR and MODIS data (reflectance and NDVI) and elevation data. The units resulting from the classification were modeled to the CAVM types using a wide variety of ancillary data. The map was reviewed by experts familiar with their particular region, including many of the original authors of the CAVM from Canada, Greenland (Denmark), Iceland, Norway (including Svalbard), Russia, and the U.S. The analysis presented here summarizes the area, geographical distribution, elevation, summer temperatures, and NDVI of the map units. The greater spatial resolution of the Raster CAVM allowed more detailed mapping of water-bodies and mountainous areas. It portrays coastal-inland gradients, and better reflects the heterogeneity of vegetation type distribution than the original CAVM. Accuracy assessment of random 1-km pixels interpreted from 6 Landsat scenes showed an average of 70% accuracy, up from 39% for the original CAVM. The distribution of shrub-dominated types changed the most, with more prostrate shrub tundra mapped in mountainous areas, and less low shrub tundra in lowland areas. This improved mapping is important for quantifying existing and potential changes to land cover, a key environmental indicator for modeling and monitoring ecosystems. The final product is publicly available at www.geobotany.uaf.edu and at Mendeley Data, DOI: 10.17632/c4xj5rv6kv.1