Optimized rule-based energy management for AC/DC hybrid microgrids using price-based demand response
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimized rule-based energy management for AC/DC hybrid microgrids using price-based demand response
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Optimized rule-based energy management for AC/DC hybrid microgrids using price-based demand response
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
20200 - Electrical engineering, Electronic engineering, Information engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/TN02000025" target="_blank" >TN02000025: Národní centrum pro energetiku II</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
e-Prime - Advances in Electrical Engineering, Electronics and Energy
ISSN
2772-6711
e-ISSN
2772-6711
Svazek periodika
14
Číslo periodika v rámci svazku
101132
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
15
Strana od-do
1-15
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-105020954312