• Arvind Kumar Pandey

Optimal Power Flow (OPF) is used in accordance with energy balancing constraints and power system operating inequalities to maximize the specified target function. For power planning and operation, OPF has been extensively used. In general, OPF is neither a linear nor a convex issue. With semi-defined programming, this research presents a new method to addressing optimal power flow problems. SDP (Semi-definite Programming) is a programming technique. The proposed method is putting the OPF problems into an SDP model and creating an algorithm. In other words, in a non-linear programming model, OPF has been properly transformed into a convex SDP model. The OPF issue can be solved using SDP and primal dual inner point algorithms with super linear convergence. The proposed method was tested on four different kinds of OPF goal functions. Because of its resilience to OPF problems, comprehensive numerical simulations of 4 to 300 bus-sized test systems have shown that this method is promiscuous. The suggested method failed to address computer resource limitations that were too large, such as Random Access Memory (RAM). The importance of an overview of the state of the art, an assessment of recent achievements, and suggestions for future study cannot be overstated. As a result, developing better, sparse, and parallel computations algorithms utilizing OPF and SDP is an intriguing future research topic.

Buses, Interior Point Method, Optimal Power Flow, Optimization, Semidefinite Programming.

"Sequential Linear Quadratic Programming: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.62-67, March-2019, Available :http://www.jetir.org/papers/JETIRFT06014.pdf

"Sequential Linear Quadratic Programming: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp62-67, March-2019, Available at : http://www.jetir.org/papers/JETIRFT06014.pdf