@phdthesis{Li2023, author = {Li, Yang}, title = {Implementation of a network cluster model for large-scale renewable power estimation and effective energy utilization}, doi = {10.26127/BTUOpen-6456}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-64562}, school = {BTU Cottbus - Senftenberg}, year = {2023}, abstract = {With the large-scale expansion of decentralized power generation from renewable energy resources (RES) and reduction of fossil fuel-based power generation, this leads to fundamental structural changes in the power supply system. The transition is characterized by a shift from central to decentral, from directional to bi-directional. As the share of renewable power systems in the electricity grid increases, the inherent uncertainty of renewable energies poses challenges to the grid system's stability. To achieve increased efficiency, decarbonisation, decentralization, and digitisation in energy sector, a flexible and resilient energy system is required. Electrical energy data and non-electrical energy data are generated from various sources, including the supervisory control and data acquisition system (SCADA), geographic information system (GIS), and weather information system. Based on these data, different spatial and temporal models of energy systems and their databases are created and connected. This thesis contributes to the analysis of regional power performance. To this end, an efficient simplified grid-oriented network cluster is presented to account for the regional allocation of RES power systems. The model clustering includes the grid topology, temporal and spatial resolution, and the structure of electrical and non-electrical data. This approach contributes to methodological aspects of energy system modelling and analysis. In addition, based on the proposed cluster model, this thesis presents the physical profile-based and data-driven methods to estimate the regional large-scale photovoltaic (PV) and wind power generations. In order to adapt to the spatial-temporal heterogeneity of the regional renewable power generations and to improve the local power utilization rate, this thesis conducts empirical analyses of the regional energy storage and combined PV and wind power systems using cable pooling with shared grid connection. In summary, this thesis presents a flexible modelling approach that takes into account the regional allocation of renewable power systems and enables a more accurate estimation of regional power generation. The proposed model and analytical methods can help the efficiency and resiliency of the energy system and support the transition towards renewable energies.}, subject = {Decentralized power generation; Energy system modelling and analysis; Regional power generation; Grid-oriented network cluster; Regional energy storage; Dezentrale Stromerzeugung; Erneuerbare Energien; Elektrisches Energiesystem; Elektrizit{\"a}tsversorgungsnetz; Dezentrale Energieversorgung; Dezentrale Elektrizit{\"a}tserzeugung; Energiesystemmodellierung und -analyse; Regionale Stromerzeugung; Netzorientiertes Netzcluster; Regionale Energiespeicherung}, language = {en} }