摘要
为解决信息不完全情况下综合能源系统的优化运行问题,该文以能源中心为基础,首次建立了计及碳交易成本的多区域综合能源系统分散调度模型。其次,该文用联络线切割法和区域重叠法对综合能源系统进行了区域分解,并基于辅助问题原则算法、分块坐标下降法和近似牛顿法分别进行求解。最后,该文以扩展的两区域6能源中心系统和3区域33能源中心系统为仿真算例,对比分析了上述分散优化算法在综合能源系统分散调度中的计算性能,并对碳交易成本对系统运行的影响作了详细分析。
This paper proposes an optimal decentralized dispatch of multi-area integrated energy systems with carbon trading, to solve the operation optimization of integrated energy systems under the condition of incomplete information. The integrated energy systems can be decomposed into multiple small-scale systems by bus splitting method and overlap boundary method, then the decentralized optimization can be handled by different techniques, including auxiliary problem principle(APP), block coordinates down(BCD) and approximate Newton directions(AND). Finally, a two-area integrated energy system with six energy hubs and a three-area integrated system with thirty-three energy hubs are employed for testing the optimization performance with various decentralized algorithms, while the operation effect with different carbon trading prices are investigated in detail.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2018年第3期697-707,共11页
Proceedings of the CSEE
基金
国家重点基础研究发展计划项目(973项目)(2013CB228205)
国家自然科学基金项目(51477055,51777078)~~
关键词
多区域综合能源系统
分散调度
碳交易
能源中心
拉格朗日乘子法
multi-area integrated energy systems
decentralized dispatch
carbon trading, energy hub
Lagrangemultiplier method