电力系统自动化2018，Vol.42Issue(11)：8-15,121,9.DOI:10.7500/AEPS20170721003
计及电转气运行成本的综合能源系统多目标日前优化调度
Multi-objective Optimal Day-ahead Dispatch of Integrated Energy System Considering Power-to-gas Operation Cost
摘要
Abstract
The power to gas (P2G) technique provides a new way for wind power accommodation,which will be an important supporting technology for the future integrated energy system.Considering the operational cost of P2G,this paper analyzes the influence of P2G on the wind power accommodation ability and operating economy of the integrated energy system.Besides,a multi-objective optimal day-ahead dispatch model is proposed to ease the contradiction between its higher operational cost and better effect for promoting wind power accommodation.Firstly,the models for P2G and its operational cost are established, and the model of energy hub including P2G devices is given.Then,in view of the high cost of P2G,the contradictory relationship between the operating economy and the wind power accommodation ability is coordinated by the multi-objective weighted fuzzy programming method.Finally,the model is simulated in an integrated energy system including 9 energy hubs. The results have verified the importance of considering the operational cost of P2G and the feasibility of considering operating economy and wind power accommodation ability together in the integrated energy system.关键词
综合能源系统/电转气/运行成本/能源集线器/多目标加权模糊规划/日前调度Key words
integrated energy system/power to gas (P2G)/operational cost/energy hub/multi-objective weighted fuzzy programming/day-ahead dispatch引用本文复制引用
董帅,王成福,梁军,董晓明,梁正堂,李华东..计及电转气运行成本的综合能源系统多目标日前优化调度[J].电力系统自动化,2018,42(11):8-15,121,9.基金项目
国家自然科学基金资助项目(51607107) （51607107）
山东省中青年科学家科研奖励基金资助项目(BS2015NJ005) （BS2015NJ005）
国家电网公司科技项目(SGSDDK00KJJS1600061).本文获得了山东大学基本科研业务费专项资 金 资 助 (2015GN001 ),在 此 表 示 衷 心感谢!This work is supported by National Natural Science Foundation of China (No.51607107),Research Award Foundation for Middle-aged and Young Scientist of Shandong Province,China (No.BS2015NJ005),and State Grid Corporation of China (No.SGSDDK00KJJS1600061). （SGSDDK00KJJS1600061）
