[1]顾慧,郭振宇,刘伟,等.基于禁忌粒子群算法的热电联产负荷经济分配[J].东南大学学报(自然科学版),2013,43(1):83-87.[doi:10.3969/j.issn.1001-0505.2013.01.016] 　Gu Hui,Guo Zhenyu,Liu Wei,et al.Cogeneration economic dispatch based on taboo-particle swarm optimization algorithm[J].Journal of Southeast University (Natural Science Edition),2013,43(1):83-87.[doi:10.3969/j.issn.1001-0505.2013.01.016] 点击复制 基于禁忌粒子群算法的热电联产负荷经济分配() 分享到： var jiathis_config = { data_track_clickback: true };

43

2013年第1期

83-87

2013-01-20

文章信息/Info

Title:
Cogeneration economic dispatch based on taboo-particle swarm optimization algorithm

Author(s):
Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China
School of Energy and Environment, Southeast University, Nanjing 210096, China

Keywords:

TP206.3
DOI:
10.3969/j.issn.1001-0505.2013.01.016

Abstract:
A cogeneration load dispatch model and whole plant’s feasible region of heat and power load are proposed based on cogeneration units feasible region. To solve the proposed model, a taboo-particle swarm optimization algorithm is presented. In this algorithm, the global searching ability of the particle swarm optimization algorithm and local searching ability of taboo algorithm are integrated to improve its accuracy and convergence speed. A case study is given with the power and heat load being 200 MW and 115 MW respectively, and each units load is proposed with the total cost of \$2 695.2,which reveals the validity of proposed model and algorithm. The influence of combination of condensed steam unit, cogeneration unit and heat supply unit on whole plants feasible region are analyzed. And the relationship between load command and energy saving potential are also analyzed.

参考文献/References:

[1] 曹叶青.热电联产企业发展战略的研究[D].天津:天津大学工商管理学院,2003.
[2] Savola T,Fogelholm C J.Increased power to heat ratio of small scale CHP plants using biomass fuels and natural gas[J]. Energy Convers Manag,2006,47(18/19):3105-3118.
[3] Salgado Fabricio,Pedrero Pedro.Short-term operation planning on cogeneration systems: a survey[J]. Electric Power Syst Res,2008,78(5):835-848.
[4] Vasebi A,Fesanghary M,Bathaee S M T.Combined heat and power economic dispatch by harmony search algorithm [J].Electrical Power and Energy Systems,2007,29(10):713-719.
[5] Su C T,Chiang C L.An incorporated algorithm for combined heat and power economic dispatch[J].Electric Power Syst Res,2004,69(2/3):187-195.
[6] Rosen Marc A.Energy, environmental, health and cost benefits of cogeneration from fossil fuels and nuclear energy using the electrical utility facilities of a province[J].Energy for Sustainable Development,2009,13(1):43-51.
[7] Rong A,Lahdelma R. An efficient envelope-based Branch and Bound algorithm for non-convex combined heat and power production planning for non-convex combined heat and power production planning[J].Eur J Operational Res,2007,183(1):412-431.
[8] Kennedy J,Eberhart R.Particle swarm optimization [C]//Proceedings of the 1995 IEEE International Conference on Neural Networks.New York: IEEE,1995:1942-1948.
[9] 司风琪,顾慧,叶亚兰,等.基于混沌粒子群算法的火电厂厂级负荷在线优化分配[J].中国电机工程学报,2011,31(26):103-109.
Si fengqi,Gu Hui,Ye Yalan,et al.Online unit load economic dispatch based on chaotic-particle swarm optimization algorithm[J].Proceedings of the CSEE,2011,31(26):103-109.(in Chinese)
[10] 黄玮,林知明,李波. 基于禁忌搜索粒子群优化算法的无功优化[J].电力学报,2007,22(4):443-446.
Huang Wei,Lin Zhiming,Li Bo.Reactive power optimization based on particle swarm optimization algorithm with tabu search[J].Journal of Electric Power,2007,22(4):443-446.(in Chinese)
[11] 张晓龙,程文.基于改进的禁忌搜索的蛋白质三维结构预测[J].计算机工程,2009,35(4):31-34.
Zhang Xiaolong, Cheng Wen.Protein 3D structure prediction based on improved tabu search[J].Computer Engineering,2009,35(4):31-34.(in Chinese)