Optimized rule-based energy management for AC/DC hybrid microgrids using price-based demand response
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F25%3A10259316" target="_blank" >RIV/61989100:27730/25:10259316 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2772671125002384" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2772671125002384</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.prime.2025.101132" target="_blank" >10.1016/j.prime.2025.101132</a>
Alternative languages
Result language
angličtina
Original language name
Optimized rule-based energy management for AC/DC hybrid microgrids using price-based demand response
Original language description
The increasing integration of renewable energy sources (RESs) and battery energy storage systems (BESSs) into hybrid AC/DC microgrids offers opportunities for cost reduction and flexibility but poses challenges in control. This paper proposes a PSO-tuned rule-based energy management system (EMS) that coordinates photovoltaic (PV) generation, BESS, and the utility grid under dynamic pricing. The framework integrates price-based demand response (DR), adaptive battery operation rules, and real-time forecasts to minimize energy consumption cost (ECC). Compared with Genetic Algorithms, PSO achieves faster convergence and higher computational efficiency. A case study at an educational institution demonstrates significant seasonal ECC reductions—39.4 % in autumn, 76.5 % in winter, 65.0 % in summer, and 79.5 % in spring—resulting in annual savings of 64.97 % (from INR 3.40 million to INR 1.19 million). The EMS ensures intelligent load shifting, optimal battery utilization, and zero grid import during peak tariffs while enabling surplus PV injection. Results confirm the proposed approach as a scalable, efficient, and practical solution for reducing costs, improving renewable self-consumption, and enhancing resilience in next-generation hybrid microgrids.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
e-Prime - Advances in Electrical Engineering, Electronics and Energy
ISSN
2772-6711
e-ISSN
2772-6711
Volume of the periodical
14
Issue of the periodical within the volume
101132
Country of publishing house
GB - UNITED KINGDOM
Number of pages
15
Pages from-to
1-15
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105020954312