Spatio-Temporal Analysis and Modeling of Distributed Photovoltaic Contributions to Distribution Network Safety

Abstract

Study presents a computational technique to explain how various types of loads in a distribution system affect the PV (photovoltaic) systems. This strategy will depend on the type of relationships between PV generation and load demand across time and space to improve the stability as well as safety of the distribution system. Initially, this paper includes mathematical modeling of PV systems with loads. Then, we use a dataset that comprises PV data, environmental data, and network data. Furthermore, PV configuration and distribution systems are depicted in depth using Geographic Information System (GIS) technology, giving a visual depiction of their placement about load regions and network architecture. To understand the effects of temporal shifts in PV output on network safety and stability, we used neural networks (NNs) to assess temporal patterns, combining PV along with load demand data. To simulate this study, we use the MATLAB platform regarding various features of data assessment. Moreover, load flow analysis (LFA) is carried out to assess how PV generation affects the voltage, power, etc. Simulations at various fault conditions are also conducted in this paper. Dynamic stability assessment integrates both temporal and spatial information for complete comprehension, identifies probable risks and stability boundaries, and evaluates network response to disturbances using dynamic modeling using the MATLAB platform.The examination explores the impact of PV insertion, evaluates the geographical spread of PV networks, and identifies potential risks and barriers. It also studies the distribution system's present status absent PV additions.