A multi-objective techno-economic operation of distribution network considering reactive power support from renewable energy and battery storage system

In the modern power system, the integration of distributed energy resources are increases day-by-day and the energy sector becomes more flexible and efficient in terms of optimal power flow and environmental concerns. These resources require effective management of intermittent energy supplies which offer significant challenges to meet the active and reactive energy demand of the smart distribution network (SDN). Hence the appropriate scheduling optimization approach is required to meet the objectives for effective operation of the SDN. This paper presents an optimal operation of SDN involving the optimum scheduling of distributed resources, renewables, and BESS penetration to enhance the economic benefits. A techno-economic MO-MINLP model for proper functioning of SDN is proposed to minimize two objectives i.e., day-ahead total operation cost and total active power losses. For effective and economic operation of SDN, the reactive power support is taken through DG, PV, WT, and BESS system in addition to conventional utility grid. Moreover, the demand response program is also implemented to offer load reduction during peak load hours of the day. A weighted summation approach followed by fuzzy satisfy criterion is employed to solve MOOP which gives different pareto solutions considering both the objectives and find the best optimum solution. The proposed MO-MINLP model is solved through DICOPT solver in GAMS environment on the modified IEEE-33 bus network integrated with PV, WT, and BESS system. The significant improvement in both the objectives as the operation cost reduces by 6.38 % and total active power losses reduce by 56.3 % considering additional reactive power support from PV, WT and BESS. Moreover, by employing DRP besides reactive power support, further reduces the operation cost by 11.09 % and total active power losses by 53.75 %. It proves that the proposed MO-MINLP model is an efficient and economic method for resolving challenging optimal scheduling problems in smart distribution networks.