Reliability Analysis of 11kV Distribution Networks with Integrated Distributed Energy Resources

Abstract

This research paper evaluates the reliability analysis of a typical 11kV distribution network in Nigeria using one year outage frequency and duration data gotten from the utility company. The problem of this research is the integration of Distributed Energy Resources (DERs) into 11kV distribution networks which presents challenges such as voltage instability, protection miscoordination, and increased fault occurrence, affecting overall system reliability and performance. Does this align with your research focus? Let me know if you'd like any refinements. The reliability analysis of the network was assessed by determining key reliability indices, and proposes inclusion of distributed generation (DG) energy to enhance the indices, since the set standard was not met. The aim of this research is to analyze the reliability of 11kv distribution network with integrated distribution energy resources. Electrical Transient Analyzer Program (ETAP) software was used for the simulation. This was done by carrying out reliability study of the existing 11kV distribution network. The method used in this research is called embedded analytical method, the Embedded Analytical Method is a technique that integrates mathematical modeling and analytical computations within the power system framework to evaluate the reliability of 11kV distribution networks with Distributed Energy Resources (DERs), providing detailed insights into system performance and potential failure scenarios. In ETAP; reliability indices were determined, and improved upon by the penetration of PSO optimized distributed generation (1.63MVA) in bus 9 and reliability study was performed with DG deployment. The results obtained shows that at the instant of DG injection into the system, average failure rate and average outage duration at load point 6, reduces by 34.2% and 23.8% respectively, then, it continues so up to load point 14. Similarly, at the penetration of DG, there were significant improvement in the customer’s-oriented reliability indices; SAIFI, 0.4747 to 0.2535f/yr, SAIDI, 13.56 to 8.2585hr/yr, CAIDI, 32.577 to 28. 581hr.intr and EENS, 56.216 to 43.376MWhr/yr. The availability index ASAI improved from 86.8 % to 99.85% which is close to the 99.9989% IEEE benchmark.