TY - JOUR ID - 106892 TI - Optimal multi-objective integration of photovoltaic, wind turbine, and battery energy storage in distribution networks JO - Journal of Energy Management and Technology JA - JEMT LA - en SN - AU - Jannesar, Mohammad Rasol AU - Sedighi, Alireza AU - Savaghebi, Mehdi AU - Anvari-Moghadam, Amjad AU - Guerrero, Josep M. AD - Department of Electrical engineering, Yazd University, Yazd, Iran AD - the Electrical Engineering Section, The Mads Clausen Institute, University of Southern Denmark, Odense, Denmark AD - Department of Energy Technology, Aalborg University, Aalborg, Denmark Y1 - 2020 PY - 2020 VL - 4 IS - 4 SP - 76 EP - 83 KW - Battery energy storage KW - multi-objective KW - Optimal integration KW - Photovoltaic KW - Wind Turbine DO - 10.22109/jemt.2020.217725.1227 N2 - In recent years, grid integration of renewable energy sources (RES) and battery energy storage systems (BESS) has been rising rapidly. Many economic, technical, and environmental benefits can be gained with the integration  of RES and BESS into the distribution  network. Optimal decisions must be considered the trade-offs between two or more conflicting objectives, therefore, in this paper, these benefits are associated with a multi-objective function that consists of energy price arbitrage, transmission access fee, energy losses, power quality (voltage regulation), and environmental emissions. In this paper, it is assumed that the distribution  system operator (DSO) has got the ownership of RES and BES. The placement, sizing, and operation of RES and BESS are optimized by the combination  of a genetic multi-objective solver (GMOS) with linear programming. The simulation results using IEEE 33-bus distribution test system show that by using the proposed method, the net benefit is appropriate, energy losses are reduced, voltage magnitude is pushed within the limit, and environmental emissions are decreased. UR - https://www.jemat.org/article_106892.html L1 - https://www.jemat.org/article_106892_98d6f8772068475888ed35a0012a3e0e.pdf ER -