Analysis of interconnected configuration for penetration of distributed generation

• Published in: International Journal of Advanced Technology and Engineering Exploration Vol. 8; no. 74; pp. 1 - 11
• Main Authors: Farooqi, Bilal Asghar, Ahmad, Mohamad Radzi Bin, Ali, Muhammad
• Format: Journal Article
• Language: English
• Published: Bhopal Accent Social and Welfare Society 2021
• Subjects: Algorithms; Configurations; Distributed generation; Electric power distribution; Electric power systems; Electrical loads; Gas turbines; Load distribution (forces); Low voltage; Machine learning; Power sources; Radial distribution; Regression analysis; Stress concentration; Sustainable development; Wind turbines
• ISSN: 2394-5443; 2394-7454
• DOI: 10.19101/IJATEE.2020.S2762161

This paper visualizes the feasibility of the proposed interconnected distributed power system configuration, which aims at incorporating the electricity generation from renewables and to cater to low voltage areas of radial distribution network. The shortcoming of existing traditional radial systems is inconsistent load distribution and technical viability in incorporating renewable sources without disturbing the power system. Sustainable development is achieved with improvement in the prevailing distribution system. Maximum potential benefits in terms of demand-supply balance and integrating renewables can be achieved by selecting properly placed and optimally sized distributed generation sources in a distribution network. The generation facility is selected as per the geographical profile of the location and placed on the weakest node. The weakest node is the low voltage profile region where the maximum output of the integration of power sources is beneficial. In this paper, the ZIP model-based methodology is applied to feeder loads on the data set of the distribution grid of the National University of Science & Technology (NUST), Islamabad, Pakistan. The comparative analysis is performed on a radial network of NUST distribution grid and compared with a simulated interconnected distribution system of the same distribution network on MATLAB software as a case study to observe the performance of interconnected power systems. This analysis results in better voltage profiles for interconnected networks, compared to radial networks. That said, incorporating a Distributed Generation (DG) source in the interconnected network builds a substantial impact on the distribution system voltage profile. The efficacy of the proposed interconnected system confirms the performance improvement of the distribution power system. The VSI values for interconnected systems give better results which is further justified by the machine learning algorithm, Logistic regression. The simulation results indicate that the Interconnected system encourages penetrations of solar, wind, gas turbine, and other renewable sources near the low voltage end in the distribution system.