考虑P2G的多能源系统优化运行研究
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摘要
电转气技术(P2G)的出现给多能源系统中风电消纳问题带来了新的解决方案,而目前P2G设备的运行成本的高昂又与实现充分的弃风消纳存在矛盾。基于此,文中在考虑P2G设备运行成本的基础上,提出了一种计及分段弃风成本的多能源优化运行模型。首先,基于能源中心的概念,分析了包含P2G设备等多种能源转换装置在内的多能源系统模型。以能源系统供能成本最小为目标函数,并在目标函数中考虑了计及分段弃风惩罚因子的风电弃风成本,采用变惯性权重ω的粒子群算法进行求解,对24 h时间段内多场景下系统风电消纳情况、系统供能成本变化进行分析。结果表明,多能源系统中利用P2G设备可以提高风电利用效率,减少系统供能成本,综合效益显著。
The emergence of power to gas( P2 G) technique provided a new solution to the problem of wind power accommodation in multi-energy system. Besides,the high operation cost of P2 G equipment contradicted the realization of adequate abandonment of wind power. Based on this,this paper proposed a multi-energy optimal operation model that took into account the cost of segmental wind power curtailment on the basis of P2 G equipment operation cost. Firstly,based on the concept of energy hub,the multi-energy system model including a variety of energy conversion devices such as P2 G equipment was analyzed. Secondly,this paper took the minimum supply cost of energy system as the objective function,which included the cost of wind curtailment considering the segmental penalty factor. The particle swarm optimization algorithm with variable inertia weight ω was used to solve the model. Finally,this paper analyzed the wind power consumption and system energy supply cost changes in 24 hours under multiple scenarios. The result shows that the adoption of P2 G equipment in multi-energy system can improve the efficiency of wind power utilization,reduce the cost of system energy supply,and achieve significant comprehensive benefits.
The emergence of power to gas( P2 G) technique provided a new solution to the problem of wind power accommodation in multi-energy system. Besides,the high operation cost of P2 G equipment contradicted the realization of adequate abandonment of wind power. Based on this,this paper proposed a multi-energy optimal operation model that took into account the cost of segmental wind power curtailment on the basis of P2 G equipment operation cost. Firstly,based on the concept of energy hub,the multi-energy system model including a variety of energy conversion devices such as P2 G equipment was analyzed. Secondly,this paper took the minimum supply cost of energy system as the objective function,which included the cost of wind curtailment considering the segmental penalty factor. The particle swarm optimization algorithm with variable inertia weight ω was used to solve the model. Finally,this paper analyzed the wind power consumption and system energy supply cost changes in 24 hours under multiple scenarios. The result shows that the adoption of P2 G equipment in multi-energy system can improve the efficiency of wind power utilization,reduce the cost of system energy supply,and achieve significant comprehensive benefits.
引文
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[11]李杨,刘伟佳,赵俊华,等.含电转气的电-气-热系统协同调度与消纳风电效益分析[J].电网技术,2016,(12):3680-3689.
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[2]贾宏杰,穆云飞.余晓丹.对我国综合能源系统发展的思考[J].电力建设,2015,36(1):16-25.Jia Hongjie,Mu Yunfei,Yu Xiaodan. Thought About the Integrated Energy System in China[J]. Electric Power Construction,2015,36(1):16-25.
[3]董朝阳,赵俊华,文福拴,等.从智能电网到能源互联网:基本概念与研究框架[J].电力系统自动化,2014,(15):1-11.Dong Zhaoyang,Zhao Junhua,Wen Fushuan,et al. From Smart Grid to Energy Internet:Basic Concept and Research Framework[J]. Automation of Electric Power Systems,2014,(15):1-11.
[4]杨方,白翠粉,张义斌.能源互联网的价值与实现架构研究[J].中国电机工程学报,2015,(14):3495-3502.Yang Fang,Bai Cuifen,Zhang Yibin. Research on the Value and Implementation Framework of Energy Internet[J]. Proceedings of the CSEE,2015,(14):3495-3502.
[5]王伟亮,王丹,贾宏杰,等.能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J].中国电机工程学报,2016,(12):3292-3306.Wang Weiliang,Wang Dan,Jia Hongjie,et al. Review of Steady-state Analysis of Typical Regional Integrated Energy System Under the Background of Energy Internet[J]. Proceedings of the CSEE,2016,(12):3292-3306.
[6] Geidl M,Koeppel G,Favre-Perrod P,et al. Energy hubs for the future[J]. IEEE Power&Energy Magazine,2007,5(1):24-30.
[7]闫占新,刘俊勇,魏震波,等.多能源等效替代方式及其转移效益模型[J].电网技术,2016,(6):1620-1626.
[8] Unsihuay C,Lima J W M,Souza A C Z D. Modeling the Integrated Natural Gas and Electricity Optimal Power Flow[C]//Power Engineering Society General Meeting. IEEE,2007:1-7.
[9] An S,Li Q,Gedra T W. Natural gas and electricity optimal power flow[C]//Transmission and Distribution Conference and Exposition,2003IEEE PES,2003:138-143.
[10]王业磊,赵俊华,文福拴,等.具有电转气功能的多能源系统的市场均衡分析[J].电力系统自动化,2015,(21):1-10,65.
[11]李杨,刘伟佳,赵俊华,等.含电转气的电-气-热系统协同调度与消纳风电效益分析[J].电网技术,2016,(12):3680-3689.
[12]刘伟佳,文福拴,薛禹胜,等.电转气技术的成本特征与运营经济性分析[J].电力系统自动化,2016,40(24):1-11.
[13]黄国日,刘伟佳,文福拴,等.具有电转气装置的电-气混联综合能源系统的协同规划[J].电力建设,2016,(9):1-13.
[14]张粒子,周娜,王楠.大规模风电接入电力系统调度模式的经济性比较[J].电力系统自动化,2011,35(22):105-110.
[15]Gahleitner G. Hydrogen from renewable electricity:An international review of power-to-gas pilot plants for stationary applications[J]. International Journal of Hydrogen Energy,2013,38(5):2039-2061.