Multi-objective techno-economic operation of smart distribution network integrated with reactive power support of battery storage systems

Abstract

• Multi-objective optimization for smart distribution is proposed. • Operation cost and energy loss are simultaneously minimized. • Both active and reactive power from battery storage systems is considered. • Problem is modelled as mixed integer second order cone programming. The smart distribution system (SDS) will transform the energy sector into a new era of increased flexibility, sustainability, reliability, and efficiency that will contribute to environmental and economic health. However, a proper scheduling strategy with strategic goals is needed to reap these benefits of SDS. In this regard, a multi-objective techno-economic optimization framework for optimal operation of SDS consisting of different resources such as renewables, dispatchable distributed generations and battery storage systems (BSSs) is presented in this paper. The proposed framework aims at simultaneously minimizing operation cost and network energy loss. To manage the operation of grid effectively, provision of both real and reactive power from BSS is included in operation of SDS. The initial operational problem is modeled as mixed integer non-linear non-convex optimization, which is then translated into mixed integer second order cone programming that can be successfully solved using commercially available solvers. Moreover, the multi-objective problem is tackled using ϵ -constraint method followed by fuzzy satisfying criteria. In order to highlight the efficacy of proposed work, case studies are conducted on 33-bus distribution system. Results demonstrate that utilization of reactive power services from BSS significantly reduces energy losses and operation cost.