A Novel Approach Based on Honey Badger Algorithm for Optimal Allocation of Multiple DG and Capacitor in Radial Distribution Networks Considering Power Loss Sensitivity

Abstract

Recently, the integration of distributed generators (DGs) in radial distribution systems (RDS) has been widely evolving due to its sustainability and lack of pollution. This study presents an efficient optimization technique named the honey badger algorithm (HBA) for specifying the optimum size and location of capacitors and different types of DGs to minimize the total active power loss of the network. The Combined Power Loss Sensitivity (CPLS) factor is deployed with the HBA to accelerate the estimation process by specifying the candidate buses for optimal placement of DGs and capacitors in RDS. The performance of the optimization algorithm is demonstrated through the application to the IEEE 69-bus standard RDS with different scenarios: DG Type-I, DG Type-III, and capacitor banks (CBs). Furthermore, the effects of simultaneously integrating single and multiple DG Type-I with DG Type-III are illustrated. The results obtained revealed the effectiveness of the HBA for optimizing the size and location of single and multiple DGs and CBs with a considerable decline in the system’s real power losses. Additionally, the results have been compared with those obtained by other known algorithms.

Optimal siting of capacitors in distribution grids considering electric vehicle load growth using improved flower pollination algorithm

“…real power losses were reduced by 35.12 % as compared to the base case, while overall net savings were 34.02 %. As shown in Table 4, the results from IPFA are superior to those from the literature works GSA [7], HBA [18], IBFOA [13], SSA [15], ISFSA [16], FPA [10], PSO [14], MFO [14], GWO [14], DFO [14], and CSA [9].…”

“…Subsequently, the real and reactive power losses of branch pq are determined using ( 16) and (17). By proceeding for all branches, the total power loss of the system can be determined using (18) and (19). This stage completes one iteration.…”

“…where NS cb is the net savings due to CBs installation, and P T,loss(0) and P T,loss(t) are the total real power losses before and after installation of CBs in the distribution system, which can be determined using (18), k p is the cost of power in $/kW; k c is the cost of CB in $/kVAr, Q cap(i) is the size of the CB in kVAr at bus i, and ncb is the number of CB locations.…”

“…In [17], the polar bear optimization algorithm (PBOA) is adapted for CBs allocation to optimize techno-economic benefits. To solve CBs/DGs, the honey badger algorithm (HBA) is presented, considering the minimization of energy loss, total VSI, and voltage deviation index (VDI) [18]. In [19], a whale optimization algorithm (WOA) was proposed to solve CBs for loss reduction and operating cost minimization by maintaining a better voltage profile.…”

Multi-objective optimal allocation of multiple capacitors and distributed generators considering different load models using Lichtenberg and thermal exchange optimization techniques

“…In this context, the distribution of renewable DG sources may be considered an economically feasible and cheap solution for this issue. If these DGs are appropriately allocated [5][6][7], they will improve the voltage level, reduce system losses, enhance the stability of the network, and boost the reliability of the distribution networks. Consequentially, the use of DGs is also rising and being adopted in many networks to prevent the installation of additional transmission and distribution lines to supply the growing demand.…”