Renewable energy integration into the radial distribution network (RDN) presents challenges related to stability, reliability, and ensuring the smooth operation of the network. One potential approach to resolving these issues is to incorporate an energy storage system (ESS) within the RDN. Hence, the allocation and operation of ESS were optimized in this study. The primary objective was to optimize system costs while enhancing the performance of the RDN, improving voltage regulation, reducing peak demand, and minimizing power losses. To accomplish this, a chaotic generalized normal distribution optimization (CGNDO) was proposed by integrating chaotic local search to boost its local search capability. The suggested CGNDO was implemented in the IEEE 33‐bus and 69‐bus RDNs with different case studies. The findings indicate that properly integrating an ESS can greatly enhance the performance of RDNs. Furthermore, the CGNDO method was compared against other approaches to validate its effectiveness in resolving optimization problems.
Nguyen et al. (Thu,) studied this question.