## Appendix A  
### Examples of Inclusion and Exclusion Decisions  
This appendix provides detailed examples of how the eligibility criteria were applied to selected studies during the full-text evaluation phase. The scoring system considered thematic relevance, methodological quality, originality, data transparency, and scientific influence. Each study was independently reviewed by two members of the research team, and in cases where their initial evaluations diverged, a consensus was reached after discussion. The objective was to ensure transparency and methodological consistency throughout the review process. * **Study 1: S-037 Title:** Probabilistic power management of a grid-connected microgrid with storage and demand response
* **Author:** [PERSON]. * **Year:** 2022
* **Journal:** Sustainable Energy, Grids and Networks
* **Decision:** Include  
This study introduces a robust framework for managing uncertainties in grid-connected microgrids with storage and demand response capabilities. The research directly aligns with the thematic focus of this review by addressing both energy storage integration and probabilistic energy management. It received top scores across all five eligibility criteria. The methodology is clearly structured and grounded in probabilistic modeling techniques, validated through historical data sets and simulations. The article demonstrates high originality in combining demand response with uncertainty quantification, and its conclusions are supported by well-documented analyses. With 32 citations, its academic reception has been positive. Both reviewers agreed on its inclusion without hesitation. * **Study 2: WoS-142 Title:** Enhancement of Frequency Regulation in AC Microgrids Using Electrical Energy Storage Systems with Virtual Synchronous Generator Control
* **Authors:** [PERSON], [PERSON], [PERSON], [PERSON], [PERSON]. * **Year:** 2021
* **Journal:** IEEE Transactions on Smart Grid
* **Decision:** Include  
This article presents a frequency regulation strategy based on electrical energy storage and virtual synchronous generator (VSG) control within AC microgrids. While its primary focus is on dynamic stability rather than comprehensive microgrid management, both reviewers agreed that its contributions are strongly related to advanced control schemes in smart microgrids. The study's methodological quality was rated highly due to its thorough simulation protocol and validation using standard test systems. The originality of applying VSG concepts to microgrid-level control was well noted. Although one reviewer initially rated thematic alignment as only peripheral, consensus was reached acknowledging that control-focused contributions remain integral to the review scope. Its inclusion was further supported by a high citation count (56) and clear documentation. * **Study 3: S-280 Title:** Management of an island and grid-connected microgrid using a hybrid controller with multi-objective optimization
* **Authors:** [PERSON], [PERSON], [PERSON], [PERSON]. * **Year:** 2020
* **Journal:** Applied EnergyDecision:** Include  
This work proposes a hybrid control approach for dual-mode microgrid operation (islanded and grid-connected), optimized through a multi-objective algorithm. The study was positively received for its relevance to microgrid coordination and optimization under varying operating conditions. It obtained moderate scores in thematic alignment and methodological detail, as some aspects of the control configuration were insufficiently described. However, the originality of integrating control logic across operating regimes, and the comparative evaluation of its performance, were considered strong points. The reviewers initially had slight differences in scoring but ultimately agreed that the study met the inclusion threshold based on its practical relevance, novelty, and solid citation record (55). * **Study 4: S-247 Title:** A voltage optimization tool for smart distribution networks with electric vehicle penetration
* **Authors:** [PERSON], [PERSON], [PERSON], [PERSON] [PERSON].