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Reactive power in radial distribution networks (RDN) leads to detrimental effects like power factor degradation, voltage profile alterations and increased power losses, ultimately impacting network stability. This paper aims to present a novel two-phase optimization approach to address the challenging task of locating, sizing and determining the optimal number of capacitors in RDNs.

The first step of the proposed methodology is using a hybrid technique that combines the loss sensitivity factors (LSF) with voltage sensitivity factors (VSF) to identify network nodes requiring capacitor installation efficiently. The second step uses an external approximation technique to optimize the size and number of capacitors for each identified node, achieving significant power loss reductions.

The effectiveness of this new approach is evaluated on two RDNs: 33- and 69-bus. Simulations on these test systems demonstrate the effectiveness of the proposed approach, reducing total power loss by 34.7% in the first case and 35.3% in the second. The method’s robustness compared to other approaches further highlights its potential for practical implementation in RDNs, contributing to improved network stability and efficient power distribution.

This paper presents a novel, efficient and robust approach to determining the optimal number, location and size of an RDN capacitor. The problem is addressed through a new formulation with modified constraints. The method consists of two stages: initially, a hybrid LSF–VSF method identifies potential capacitor locations, followed by an external approximation-based mixed-integer nonlinear programming (MINLP) solver to optimize capacitor numbers and sizes. The proposed methodology is applied to the widely used 33-bus and 69-bus RDN test systems. Comparative analysis with existing methods highlights the proposed approach’s effectiveness. Key contributions of this study include the following: Proposes a new problem formulation with modified constraints. Proposes a novel two-stage framework for optimally locating and sizing capacitors in RDNs. Introduces a hybrid LSF–VSF algorithm to identify promising capacitor locations efficiently. Using an external approximation-based MINLP for optimal sizing. Demonstrates the effectiveness of the proposed approach through rigorous testing on standard benchmark systems. Provides a comprehensive comparative analysis against state-of-the-art methods, highlighting the proposed approach’s superior performance.

Despite the intense social media (SoMe) campaigns promoting organ donation, the direct impact on registration and transplantation rates remains unclear among Sunni Muslims who constitute a significant portion of Muslim population. Given the observed tendency to avoid engaging with SoMe content focused on organ donation promotion, this study aims to comprehend the reasons for reluctance among Sunni Muslims.

A qualitative approach comprising focus group and individual interviews was conducted among community manager of SoMe campaigns interested in promoting organ donation, Sunni Muslims subscribed on those SoMe platforms and certain members of the medical staff involved in transplant operations.

The results indicate that reluctance toward SoMe campaigns about organ donation is justified because of the creation of irrelevant content that does not align with the sociocultural characteristics of the majority Sunni Muslims who are the intended audience. Additional discussions are required concerning religious beliefs, the culture of altruism and the credibility of SoMe appeals.

This research could serve as a foundation upon which social organizations and associations, focused on public health promotion through SoMe, can build specific content designs tailored for Sunni Muslims.

The distinctive aspect of this research is founded upon the diverse perspectives of various stakeholders, which have the potential to impact the registration of Muslim users on SoMe as organ donors.