Optimal Placement of DG with Battery Energy Storage in Distribution Network for Power loss Minimization using Combined Dispatch & Combined PLS Strategy 
Bharat Singh1, Satyaveer Singh Rawat2
1Bharat Singh*, Electrical Engineering department, NIT Kurukshetra, Haryana, India.
2Satyaveer Singh Rawat, IEEE member, Assistant Professor in Electrical Engineering Depp. GBPEC, Pauri UK, India.
Manuscript received on June 01, 2020. | Revised Manuscript received on June 08, 2020. | Manuscript published on June 30, 2020. | PP: 1073-1081 | Volume-9 Issue-5, June 2020. | Retrieval Number: E1007069520/2020©BEIESP | DOI: 10.35940/ijeat.E1007.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Distribution Generation, Battery Storage, radial distribution system, Renewable Energy Sources, Power loss minimization.