文章摘要
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,2015,39(21):1-10. DOI: 10.7500/AEPS20150623001.
WANG Yelei,ZHAO Junhua,WEN Fushuan, et al.Market Equilibrium of Multi-energy System with Power-to-gas Functions[J].Automation of Electric Power Systems,2015,39(21):1-10. DOI: 10.7500/AEPS20150623001.
具有电转气功能的多能源系统的市场均衡分析
Market Equilibrium of Multi-energy System with Power-to-gas Functions
DOI:10.7500/AEPS20150623001
关键词: 多能源系统  电转气  能源中心  博弈论
KeyWords: multi-energy system  power-to-gas (P2G)  energy hub  game theory
上网日期:2015-10-27
基金项目:国家重点基础研究发展计划(973计划)资助项目(2013CB228202);国家自然科学基金委员会(NSFC)与英国工程与自然研究理事会(EPSRC)合作研究项目资助项目(51361130153,51361130152)
作者单位E-mail
王业磊 浙江大学电气工程学院, 浙江省杭州市 310027  
赵俊华 Center for Intelligent Electricity Networks, The University of Newcastle, NSW 2308, 澳大利亚  
文福拴 浙江大学电气工程学院, 浙江省杭州市 310027; 文莱科技大学电机与电子工程系, 斯里巴加湾 BE1410, 文莱 fushuan.wen@gmail.com 
薛禹胜 南瑞集团公司(国网电力科学研究院), 江苏省南京市 211106  
摘要:
      电转气技术(P2G)的出现让电力系统和天然气系统间的能量双向流动成为可能,促进了气-电网络的深度融合,也为解决间歇性可再生能源发电出力的波动性问题提供了新途径;P2G技术使天然气和电能间具有相互可替代性,使多能源市场的联系更加紧密,是未来多能源系统的重要支持技术。在此背景下,针对包括P2G的多能源系统的市场均衡问题,首先采用近年来发展起来的能源中心建模方法对集成了P2G设备、储气装置、燃气机组等多种能源转换装置的多能源系统进行建模。之后,在博弈论的框架下,研究了各个能源中心同时参与多个能源市场时的市场均衡问题,建立了确定市场均衡点的优化模型,并适于采用并行算法求解。最后,采用一个4节点能源中心测试系统和澳大利亚维多利亚州气电联合系统为例对所提出的模型与方法进行了仿真验证。
Abstract:
      The emergence and development of the power-to-gas (P2G) technique have made the bidirectional energy flow between power and natural gas systems possible. P2G represents a key technique in the emerging energy internet, and promotes the integration of multi-energy systems. By transforming electricity to gas, existing gas storage facilities can be used to mitigate the volatility of renewable energy generation. The modeling of future complex multi-energy systems with P2G functions is presented based on the “energy hub” framework, and a coordinated optimization model presented. A game-theory-based method is next proposed to attain market equilibrium in a multi-energy system. A 4-bus sample multi-energy system and a simplified Victoria gas-electricity combined network system in Australia are adopted for demonstrating the effectiveness of the presented optimization model and solving algorithm. This work is supported by National Basic Research Program of China (973 Program) (No. 2013CB228202) and National Natural Science Foundation of China (No. 51361130153, No. 51361130152).
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