Confidence Interval-A statistical Approach for DER Integration in Distribution System to Enhance Energy Harvesting

Abstract

Recent advents in electrical power supply and distribution networks have paved the way for Dis-tributed Energy Resources (DERs). DERs play a vital role in system stability, reliability, and power quality. Integration of DERs enhances the well-being of the distribution system, providing service during peak load and as backup power during grid failure, ensuring a reliable power supply to consumers. It also releases pressure on the generating stations and power transmission lines. However, on the integration of DERs in the system, Locational Hosting Capacity (LHC) and distribution system reliability have been the primary concern for quality in the electrical power system, depending on DER location. The distribution system reliability and LHC with the DER in the distribution system have been analyzed in the present work. Reliability is enhanced after integrating DERs in the distribution system. Roy Billinton test system was used to verify the improvement in reliability. The hosting capacity depends on the site of integration in the feeders. The location of DER with the highest hosting capacity and most improved reliability indices location differs in some feeders. Confidence interval (CI), a statistical method, is proposed to select the location for DER integration considering both maximum Hosting Capacity (HC) and the most improved reliability indices. On selecting the location of DER integration by CI method, the deviation in reliability index or hosting capacity is less than 3% from their maximum values. The efficacy of this work validates the positive impacts of DERs on distribution system reliability for the secure and efficient operation of electrical power distribution system with optimal location of DER with higher hosting capacity and reli-ability of the system. The proper place of DERs based on confidence interval leads to the maximum harvesting of the DERs with reliability.