부산대학교 도서관

The rapid adoption of loads, including commercial, industrial, and residential sectors, imposes significant challenges on distribution networks, necessitating proactive planning and optimal distributed energy resource (DER) allocation. This study proposes an approach that optimally accommodates DER units, specifically wind turbines and solar photovoltaic systems, are appropriately integrated into the distribution network while effectively managing ambiguities related to wind and solar power generation. This integration aims to harness the potential of these renewable sources while mitigating the challenges posed by their intermittency. The cheetah optimizer (CO) algorithm is utilized to determine the optimal locations and ratings of renewable DER, with the primary objectives being the minimization of energy loss, node voltage deviation and the enhancement of the voltage stability index within the distribution system. To empirically validate the proposed methodology, a comprehensive evaluation is conducted using a widely recognized 33-bus benchmark distribution network. This rigorous analysis provides an evidence-based substantiation of the effectiveness of the adopted Cheetah Optimization (CO) algorithm. The CO algorithm showcases superior performance with a remarkable reduction of 68.697% in energy loss.