• Ahmed H. H. Mansoor
• Dr. Amit Kumar Singh

To withdraw the maximum potential merits in gleam of environmental, economical and technical aspects, the optimization of Distributed Generation DGs in distribution network has always been challenging for utilities as well as unit customers. The installation of DG(s) would be of maximum benefit where setting up of central power generating units are not practical, or in remote and small areas where the installation of transmission lines or availability of unused land is out of question. The objective of optimal installation of DG(s) in distribution system is to achieve proper operation of distribution networks with minimization of the system losses, improvement of the voltage profile, enhanced system reliability, stability and loadability etc. In this respect analytical (classical) methods, although well-matched for small systems, perform adversely for large and complex objective functions. Unlike the analytical (classical) methods, the intelligent techniques for optimization of DG(s) are speedy, possess good convergence characteristics, and are well suited for large and complex systems. However, to find a global optimal solution of complex multi-objective problems, a hybrid of two or more meta-heuristic optimization techniques give more effective and reliable solution. This paper depicts the fundamentals of DG(s) and DG technologies review the classical and heuristic approaches for optimization of DG(s) units in distribution networks and study their impacts on utilities and customers. An attempt has also been made to compare the analytical (classical) and meta-heuristic techniques for optimal capacity of DG(s) in distribution networks. The present research can contribute meaningful knowledge base and assist as a reference for power system investigators and utility engineers on issues to be considered for optimization of DG units in distribution systems.

Distributed generation, Energy Storage Systems, Distribution system, Optimization techniques

"Optimization Techniques for Integrated Distributed Generation Resources and Energy Storage Systems considering the Loading Security Constraints: A Comprehensive Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.f154-f183, March-2023, Available :http://www.jetir.org/papers/JETIR2303519.pdf

"Optimization Techniques for Integrated Distributed Generation Resources and Energy Storage Systems considering the Loading Security Constraints: A Comprehensive Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppf154-f183, March-2023, Available at : http://www.jetir.org/papers/JETIR2303519.pdf