Optimal power flow for micro-grids

Abstract

Micro-grids are bits of a power circulation organize that supply various loads, and incorporate distributed generation (DG) like: wind and solar generators. Optimal power flow (OPF) is considered with the goal of limiting either the power circulation misfortunes, or, the cost of influence drawn from the substation and provided by (DG) units. This paper analyzes two systems: a system with no transmission constraints and with transmission constraints. This is known as an ideal power market which means that generators supply energy and load removes energy. No transmission constraints means there is a single marginal cost. This paper analyzes splitting cost at a bus into energy, losses and congestion. The objective of an optimal power flow is to determine the best way to instantaneously operate a power system. The optimal way to operate a power system is that operating total cost and the cost of meeting load would and also subject to constraints. The goal is to show the difference in costs after both systems are analyzed with no transmission constraints and with transmission constraints. Two power systems were taken into consideration: (1) A two bus example with no transmission constraints and also a two bus example with transmission constraints. (2) A five bus system with no transmission constraints and also a five bus example with transmission constraints. Primal Linear Programming (LP) and Optimal Power Flow (OPF) solution algorithm are used to solve this power system. Solution iterates between solving a full ac power flow solution and Primal Linear Programming (LP). The complete analyses are done with the aid of Power-World Software. This work is applicable to the humanization because of microgrids in developing worlds would be an effective and robust route to electrification. This technology will reduce power cost for the customers and could help humans in developed countries.