TY - JOUR
T1 - Renewable energy-aware sustainable and cost-effective microgrid configuration in active distribution network
AU - Manisha,
AU - Saini, Vikash Kumar
AU - Kumari, Meena
AU - Kumar, Rajesh
AU - Sumaiti, Ameena Saad Al
AU - Sharma, Gulshan
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025/12
Y1 - 2025/12
N2 - A combination of renewable and traditional sources ensures stability, cost-efficiency, and effective energy use in microgrid distribution systems. This work examines eight grid-connected microgrid configurations to determine the most cost-effective energy source combination. The proposed configuration combines photovoltaic panels, wind turbines, a fuel cell, and a battery storage system. This combination reduces grid dependence and minimizes greenhouse gas emissions. The multi-objective optimization problem is solved using Grey Wolf Optimization while considering both equality and inequality constraints. The total economic cost is $683.71, including battery degradation. Greenhouse gas emission costs and total costs are reduced by 81.92% and 47.06%, respectively, compared to the base case. In addition, the Social Welfare Cost and the Maximum Rate of Return on Investment cost are $47.063 and 315.75%. The results demonstrate that the microgrid is cost-effective and profitable, which supports its economic sustainability. This microgrid configuration is validated using the IEEE-33 and IEEE-69 bus test systems. The validation results indicate that power losses reduce by 5.3% and daily operational costs decrease from $1,948.17 to $1,233.09. This work promotes the UN SDG 7 (Affordable and Clean Energy) and the Paris Agreement's goal of net-zero emissions by 2050. This study helps facilitate the transition to sustainable energy and addresses climate change.
AB - A combination of renewable and traditional sources ensures stability, cost-efficiency, and effective energy use in microgrid distribution systems. This work examines eight grid-connected microgrid configurations to determine the most cost-effective energy source combination. The proposed configuration combines photovoltaic panels, wind turbines, a fuel cell, and a battery storage system. This combination reduces grid dependence and minimizes greenhouse gas emissions. The multi-objective optimization problem is solved using Grey Wolf Optimization while considering both equality and inequality constraints. The total economic cost is $683.71, including battery degradation. Greenhouse gas emission costs and total costs are reduced by 81.92% and 47.06%, respectively, compared to the base case. In addition, the Social Welfare Cost and the Maximum Rate of Return on Investment cost are $47.063 and 315.75%. The results demonstrate that the microgrid is cost-effective and profitable, which supports its economic sustainability. This microgrid configuration is validated using the IEEE-33 and IEEE-69 bus test systems. The validation results indicate that power losses reduce by 5.3% and daily operational costs decrease from $1,948.17 to $1,233.09. This work promotes the UN SDG 7 (Affordable and Clean Energy) and the Paris Agreement's goal of net-zero emissions by 2050. This study helps facilitate the transition to sustainable energy and addresses climate change.
KW - Battery degradation
KW - Energy storage
KW - Green house gases emission
KW - Microgrid energy management
KW - Reliability
UR - https://www.scopus.com/pages/publications/105016308988
U2 - 10.1016/j.rineng.2025.107144
DO - 10.1016/j.rineng.2025.107144
M3 - Article
AN - SCOPUS:105016308988
SN - 2590-1230
VL - 28
JO - Results in Engineering
JF - Results in Engineering
M1 - 107144
ER -