دورية أكاديمية

A Multi-Agent-Based Optimization Model for Microgrid Operation Using Dynamic Guiding Chaotic Search Particle Swarm Optimization

التفاصيل البيبلوغرافية
العنوان: A Multi-Agent-Based Optimization Model for Microgrid Operation Using Dynamic Guiding Chaotic Search Particle Swarm Optimization
المؤلفون: Jicheng Liu, Fangqiu Xu, Shuaishuai Lin, Hua Cai, Suli Yan
المجموعة: RePEc (Research Papers in Economics)
الوصف: The optimal operation of microgrids is a comprehensive and complex energy utilization and management problem. In order to guarantee the efficient and economic operation of microgrids, a three-layer multi-agent system including distributed management system agent, microgrid central control agent and microgrid control element agent is proposed considering energy storage units and demand response. Then, based on this multi-agent system and with the objective of cost minimization, an operation optimization model for microgrids is constructed from three aspects: operation cost, environmental impact and security. To solve this model, dynamic guiding chaotic search particle swarm optimization is adopted and three scenarios including basic scenario, energy storage participation and demand response participation are simulated and analyzed. The results show that both energy storage unit and demand response can effectively reduce the cost of microgrid, improve the operation and management level and ensure the safety and stability of power supply and utilization. ; multi-agent system; demand response; microgrid optimization; particle swarm optimization; energy storage
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
العلاقة: https://www.mdpi.com/1996-1073/11/12/3286/pdfTest; https://www.mdpi.com/1996-1073/11/12/3286Test/
الإتاحة: https://www.mdpi.com/1996-1073/11/12/3286/pdfTest
https://www.mdpi.com/1996-1073/11/12/3286Test/
رقم الانضمام: edsbas.A89A1A41
قاعدة البيانات: BASE