Cooperative Operation for Integrated Multi-Energy System Considering Transmission Losses

被引:11
|
作者
Liu, Jinglu [1 ]
Wang, Anna [1 ]
Song, Chonghui [1 ]
Tao, Ran [2 ]
Wang, Xingyu [1 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Univ Sydney, Fac Engn & Informat Technol, Sydney, NSW 2006, Australia
基金
中国国家自然科学基金;
关键词
Cogeneration; Heuristic algorithms; Optimization; Propagation losses; Resistance heating; Couplings; Cooling; Multi-energy systems; energy complementarity; transmission loss; sensitivity; dynamic wolf pack algorithm; NATURAL-GAS; ENERGY HUB; DISTRIBUTED GENERATION; DISTRIBUTION NETWORKS; ELECTRIC-POWER; HEAT; MODEL; OPTIMIZATION; DISPATCH; FLOW;
D O I
10.1109/ACCESS.2020.2996913
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The increasing complexity of energy internet integrated with multiple energy systems requires a more flexible energy management system. To exploit the potential of energy complementarity, maximize the consumption of renewable energy sources (RES) and minimize the operating costs, a cooperative operation model for integrated multi-energy systems (IMES) with transmission losses is proposed in this paper. On this basis, a novel multi-energy management strategy is developed to improve the energy utilization efficiency of the systems for regional operation by integrating the alternative decomposition-based decoupling method for multi-energy flow and the dynamic wolf pack algorithm (DWPA). Furthermore, the operating costs are formulated as a multi-objective optimization problem based on the Pareto efficiency to obtain more diverse solutions. Finally, case studies considered perform sensitivity analysis and demonstrate that the proposed cooperative operation model and strategy can effectively improve the economy and the flexibility of a regional energy system.
引用
收藏
页码:96934 / 96945
页数:12
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