基于风-氢的气电热联合系统模型的经济性能分析
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摘要
为减少弃风电量,提高风能利用效率,具有电转气功能的电热联合系统被认为是可再生能源利用的一种新形式。为验证该应用形式的经济效益,提出基于双域动态最优潮流的具有电转气功能的电热联合系统经济模型。采用粒子群算法,在2种常见电热生产模式下,求得优化期间内各个单元的最优出力及标准煤耗,并与传统单一燃气能源供应形式进行比较。最后,UK-22节点系统仿真结果表明电转气在能源利用与节能减排方面具有巨大的经济效益。
In order to reduce the abandoned wind power and improve the utilization efficiency of wind energy,the heat and combined heat and power system with the function of P2 G is considered to be a new form of renewable energy utilization. In this paper,an economic model for combined heat and power system based on a dual-horizon dynamic AC optimal power flow is presented. The model proves the above application form of economic benefits. The model based on the particle swarm algorithm is utilized mean while to obtain the standard coal consumption and operation modes of the microsources in the scheduling period,and then compare the model with two traditional single forms of gas supply.Finally,the simulation results of the UK-22 node system show that P2 G has great economic benefits in energy utilization and energy-saving and emission-reduction.
In order to reduce the abandoned wind power and improve the utilization efficiency of wind energy,the heat and combined heat and power system with the function of P2 G is considered to be a new form of renewable energy utilization. In this paper,an economic model for combined heat and power system based on a dual-horizon dynamic AC optimal power flow is presented. The model proves the above application form of economic benefits. The model based on the particle swarm algorithm is utilized mean while to obtain the standard coal consumption and operation modes of the microsources in the scheduling period,and then compare the model with two traditional single forms of gas supply.Finally,the simulation results of the UK-22 node system show that P2 G has great economic benefits in energy utilization and energy-saving and emission-reduction.
引文
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[14] Moeini-aghtaie M,Abbaspour A,Fotuhi-firuabad M,et al. A decomposed solution to multiple energy carriers optimal power flow[J]. IEEE Trans actions on Power Systems,2014,29(2):707—716.
[2]张勇,肖建,迟永宁,等.基于机组调峰能力的电力系统风电接纳能力研究[J].太阳能学报,2014,35(6):998—1103.[2] Zhang Yong,Xiao Jian,Chi Yongning,et al. Largescale integration of wind power into the existing Chinese energy system[J]. Acta Energiae Solaris Sinica,2014,35(6):998—1103.
[3] Liu W,Lund H,Mathiesen B V. Large-scale integration of wind power into the existing Chinese energy system[J]. Energy,2011,36(8):4753—4760.
[4] Harrison K W,Kroposki B,Pink C. Characterizing electrolyzer performance for use in wind energy applications[J]. Wind Energy,2011,8(2):7—8.
[5]徐飞,闵勇,陈磊,等.包含大容量储存的电热联合系统[J].中国电机工程学报,2014,34(29):5063—5072.[5] Xu Fei, Min Yong, Chen Lei, et al. Combined electricity-heat operation system containing large capacity thermal energy storage[J]. Proceedings of the CSEE,2014,34(29):5063—5072.
[6] Lu J,Zahedi A,Yang C,et al. Building the hydrogen economy in China:Drivers,resources and technologies[J]. Renewable and Sustainable Energy Review,2013,23(16):543—556.
[7] Li Zhigang,Wu Wenchuan. Combined heat and power dispatch considering pipeline energy storage of district heating network[J]. IEEE Transactions on Sustainable Energy,2015,7(1):12—22.
[8] 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.
[9] Dries H,William D. The use of the natural-gas pipeline in fracture for hydrogen transport in a changing market structure[J]. International Journal of Hydrogen Energy,2007,32(10):1381—1386.
[10] Anon. Mcphy energy role in French power-to-gas GRHYD programmer[N]. Fuel Cells Bulletin,2014.
[11]高孝天,凌志斌,郭海峰,等.基于粒子群优化的风储配合控制策略研究[J].太阳能学报,2014,35(11):2249—2256.[11] Gao Xiaotian,Ling Zhibin,Guo Haifeng,et al. Control strategies for wind farm with battery energy storage based on particle swarm optimzation[J]. Acta Energiae Solaris Sinica,2014,35(11):2249—2256.
[12] Saint-Pierre A,Mancarella P. Integrated electricity and heat active network management[J]. IEEE:Power Systems Computation Conference,2016,28(2):1—7.
[13] Chen X. Increasing the flexibility of combined heat and power for wind power integration in China:Modeling and implications[J]. IEEE Transactions on Power System,2011,30(4):1847—1857.
[14] Moeini-aghtaie M,Abbaspour A,Fotuhi-firuabad M,et al. A decomposed solution to multiple energy carriers optimal power flow[J]. IEEE Trans actions on Power Systems,2014,29(2):707—716.