Artificial Rabbits Optimization Based Optimal Allocation of Solar Photovoltaic Systems and Passive Power Filters in Radial Distribution Network for Power Quality Improvement
Chegudi Ranga Rao, Balamurugan Ramadoss, RamaKoteswara Rao Alla, I Alotaibi, M Abido, M Khalid, A Savkin, Z Rezvani, J Jansson, J Bodin, L Fonseca, J Domingues, A Dima, M Alam, S Arefifar, V Evangelopoulos, P Georgilakis, N Hatziargyriou, S Kazmi, M Shahzad, A Khan, D Shin, O Mahela, A Shaik, M Bajaj, A Singh, C Das, O Bass, G Kothapalli, T Mahmoud, Habibi, A Ahmadi, A Tavakoli, P Jamborsalamati, N Rezaei, M Miveh, F Gandoman, A Heidari, A Nezhad, M Milovanovi, J Radosavljevi, D Klimenta, Perovi, I Melo, J Pereira, A Variz, P Ribeiro, K Gaddala, P Raju, M Milovanovi, J Radosavljevi, H Alves, S Aleem, A Zobaa, M Balci, S Ismael, M Farhoodnea, A Mohamed, H Shareef, H Zayandehroodi, M Mohammadi, M Montazeri, S Abasi, A Far, A Akbariforoud, A Moradifar, A Akbariforoud, A Lakum, V Mahajan, G Isha, P Jagatheeswari, B Khan, K Redae, E Gidey, O Mahela, I Taha, M Hussien, A Arya, A Kumar, S Chanana, M Sedighizadeh, A Moarref, S Sannigrahi, P Acharjee, M Zellagui, A Lasmari, S Settoul, R Sehiemy, C Bayeh, R Chenni, S Salkuti, T Yuvaraj, K Ravi, K Devabalaji, S Adam, S Alexandropoulos, P Pardalos, M Vrahatis, L Wang, Q Cao
Abstract
This paper presents an artificial rabbits optimization (ARO) based optimization methodology for the optimal location and rating of solar photovoltaic systems (SPVs) and passive power filers (PPFs) to mitigate the effects of nonfundamental frequencies due to the presence of non-linear and static loads in radial distribution networks (RDNs). The basic components of the distribution network are modelled for decoupled harmonic power flow (DHPF). The performance of RDN and harmonic levels is evaluated using DHPF. A multi-objective function using real power distribution loss (RPDL), voltage deviation index (VDI), total harmonic distortions in voltage (THDv), and current (THDi) is formulated by considering different equal and unequal planning and operational constraints. The effectiveness of the proposed methodology is evaluated on IEEE 33-bus RDN. Also, the computational efficiency of ARO is compared with other recent meta-heuristic approaches, namely the coyote optimization algorithm (COA), the butterfly optimization algorithm (BOA), the future search algorithm (FSA), and the pathfinder algorithm (PFA). The comparative analysis has highlighted the superiority of ARO in terms of global optima over the other compared algorithms. The reactive power losses and AVDI are reduced to 72.7865 kW, 50.6519 kW, and 0.0214 from 210.11 kW, 143.03 kVAr, and 0.0637, respectively. Also, integration of SPVs and single-tuned PPFs at optimal locations with appropriate sizes results in significantly improving the RDN power quality and performance significantly. The maximum in the entire network is observed at 5.21% of the fundamental frequency at bus-13. As per the IEEE 519 standards, it is required to maintain less than 5% and it is reduced to 3.98% with optimal PPF integration by the proposed method.