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 |
| المصدر: |
Energies; Volume 11; Issue 12; Pages: 3286 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2018 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
multi-agent system, demand response, microgrid optimization, particle swarm optimization, energy storage |
| 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. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
https://dx.doi.org/10.3390/en11123286Test |
| DOI: |
10.3390/en11123286 |
| الإتاحة: |
https://doi.org/10.3390/en11123286Test |
| حقوق: |
https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.6D42F795 |
| قاعدة البيانات: |
BASE |
