Abstract
This paper presents a novel application of General Algebraic Modelling System (GAMS) and MATLAB interfacing for optimal location and placement of DG with battery. The main contribution of this paper is: (i) optimal placement of DG based on combined-Power Loss Sensitivity (PLS) method, (ii) optimal placement of battery energy storage using combined dispatch strategy, (iii) optimal size of DGs and Battery have been carried out in such a way to minimize the total power loss without violating the constraints using MINLP solver in GAMS . (iv) Two types of DGs have been considered for analysis and the impact of DG with and without battery placement on total power loss and voltage improvement. Voltage profile, real and reactive power flow pattern, total power loss, computational time, fuel cost, total installation cost, total cost, State of Charge (SOC) status of battery and power obtain by DG with the battery has been determined. The result shows the importance of DG with battery size and location. The results are obtained on IEEE-33bus radial distribution test system and compare with another existing method also.
Highlights
The renewable energy sources based generation has become integral part of the power system network
The energy storage system incorporated with Distribution Generation in radial distribution system under consideration has been designed by General Algebraic Modelling System (GAMS) optimization tool
The optimization has been done by using GAMS optimization tool in such a way to minimize the total power loss, planning the optimum location and sizing of Distribution Generator (DG)
Summary
The renewable energy sources based generation has become integral part of the power system network. The distributed generation (DGs) with renewable sources and its penetration into the distribution network has introduced lot of challenges to the distribution network operator for better management and planning. In this context, the distribution system analysis need to be analyzed with DGs. The storage devices have become part of the AC/DC micro grids with the renewable sources to meet out the deviations in the power requirement during their intermittency. Each generating unit is first mathematically modeled. Current modeling is used, in which the output and input of each generating unit are expressed in terms of current
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