Abstract
Soft open points (SOPs) are power electronic devices that replace the normal open points in active distribution systems. They provide resiliency in terms of transferring electrical power between adjacent feeders and delivering the benefits of meshed networks. In this work, a multi-objective bilevel optimization problem is formulated to maximize the hosting capacity (HC) of a real 59-node distribution system in Egypt and an 83-node distribution system in Taiwan, using distribution system reconfiguration (DSR) and SOP placement. Furthermore, the uncertainty in the load is considered to step on the real benefits of allocating SOPs along with DSR. The obtained results validate the effectiveness of DSR and SOP allocation in maximizing the HC of the studied distribution systems with low cost.
Highlights
Renewable energy integration has been crucial in recent decades to limit the effect of green-house gases on the environment [1,2,3]
The authors in [34] proposed a new methodology to solve mixed-integer nonlinear programming problems via integrating the surrogate and the deterministic infeasibility sorting, where it has been tested against real-life building applications
A modified version of the multi-objective particle swarm optimization (MOPSO) was proposed in [35] to handle multi-objective MINLP problems, where it has been tested against several benchmark functions and has proven its ability to find the best solution
Summary
Renewable energy integration has been crucial in recent decades to limit the effect of green-house gases on the environment [1,2,3]. HC has been evaluated for various types of SOP placement, including two-terminal and multi-terminal SOPs and SOPs with energy storage [25] In these previous works, individual strategies were employed to maximize the HC of the distribution systems, but SOPs and DSR were not combined. We put forward a novel approach for HC enhancement based on simultaneous SOP allocation and DSR to step on the benefits of the meshed networks in the presence of load uncertainties for two real distribution systems and ensuring the radial structure while reconfiguring the non-SOP tie-lines which provide resiliency in allocating DGs. The main contributions of this work can be summarized as follows:.
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