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صفحه اصلی
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سی و سومین کنفرانس بین المللی مهندسی برق
Social Welfare Maximization with Demand Response Program Using Stackelberg Game Theory
نویسندگان :
Mahtab Seyyedi
1
Ebrahim Pirmoradi
2
Turaj Amraee
3
1- دانشگاه خواجه نصیر الدین طوسی
2- اداره برق منطقه ای کرمان
3- دانشگاه خواجه
کلمات کلیدی :
Social Welfare،Security Constraints،Renewable Energy،Demand Response,،Stackelberg Game
چکیده :
The efficient management of power transmission networks, particularly with the integration of renewable energy sources and the enhancement of system reliability, is becoming increasingly critical in modern energy systems. This study proposes an innovative approach to improving social welfare through the integration of demand response programs and renewable energy sources, utilizing a Stackelberg game framework. A bi-level optimization methodology is employed, where power generators and energy consumers act as "leaders" and "followers," respectively. Advanced modeling techniques are used to address key technical constraints, such as the inclusion of Line Outage Distribution Factors (LODF), which enhance system security and stability. Simulation results conducted on the IEEE 39-bus system demonstrate that the proposed model increases social welfare by 6.7% and reduces production costs by 2.9%, providing a compelling argument for the integration of demand-side management and renewable energy in fostering a more sustainable and resilient energy ecosystem. These findings highlight the potential of this approach to optimize power system operations, improve cost- efficiency, and pave the way for scalable applications in real-world energy networks.
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