Optimal deployment of renewable DG and battery storage system in distribution system considering techno-economic, environment and reliability aspects

Abstract

In the present scenario of energy market restructuring and global warming incorporation of Renewable Distributed Generation (DG) in the distribution system is one of the efficient and viable strategies that can be adapted by the Distribution Companies (DISCO) for the overall benefit of the system. In this paper, a Non-Dominant Sorted Genetic Algorithm II (NSGA II) based multi-objective approach is developed for optimal deployment of DG to maximize voltage profile improvement, reliability, economic and environmental benefit. To address the issue of intermittence of renewable DG, Battery Storage System (BSS) is also used in the system. A new formula is proposed to evaluate the failure rate of the distribution line. Reliability indices such as Expected Energy not served (EENS) is used to assess the reliability of the network by the incorporation of DG. New and logical formulas such as Network voltage profile improvement index (NVPII), Benefit Cost Ratio (BCR), and Environmental Benefit Index (EBI) are formulated to assess the overall performance of the device The proposed method is tested on 33-bus radial system for time variant practical load models. The proposed technique when compared with other multi-objective algorithms shows good applicability and superior performance. This analysis facilitates the planning engineers to choose an optimal approach for the overall benefit of the system.