An optimization model for inter-regional economic exchange of generated power under constraint of emission reduction and transmission

Dianwang Jishu/Power System Technology

Volumn 34, Issue 6, 2010, Pages 64-70

  Jiang, Hai Yang ^a   Li, Li ^a   Tan, Zhong Fu ^a   Wang, Mian Bin ^b   Yu, Chao ^a   Wang, Jian Hui ^c  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b North China Grid Company Limited   (China)

^c ARGONNE NATIONAL LABORATORY   (United States)

Author keywords

Electric ower generation; Emission reduction; Power exchange; Transmission price

Indexed keywords

ALGEBRAIC MODELING; ECONOMIC EXCHANGE; ECONOMIC GENERATION; EMISSION REDUCTION; ENVIRONMENTAL CONSTRAINTS; EXCHANGE MODELS; IMPACTING FACTOR; OPTIMIZATION MODELS; POLLUTANT EMISSION; POWER EXCHANGE; PRICING MECHANISM; SIMULATION ANALYSIS; TRANSMISSION LINE; TRANSMISSION PRICE; TRANSMISSION SYSTEMS;

COST BENEFIT ANALYSIS; COSTS; ELECTRIC POWER TRANSMISSION; OPTIMIZATION; REGIONAL PLANNING;

ELECTRIC GENERATORS;

EID: 78651557793     PISSN: 10003673     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. Tan Zhongfu, Chen Guangjuan, Zhao Jianbao, et al. Optimization model for designing peak-valley time-of-use power price of generation side and sale side at the direction of energy conservation dispatch[J]. Proceedings of the CSEE, 2009, 29(1): 55-62(in Chinese).
2. Shang Jincheng. Research on economic compensation mechanism for energy-saving generation dispatch part one: design and analysis of economic compensation mechanism based on administrative means [J]. Automation of Electric Power Systems, 2009, 33(2): 46-48(in Chinese).
3. Shang Jincheng. Research on economic compensation mechanism for energy-saving generation dispatch part two: design and analysis of economic compensation mechanism based on market mechanism [J]. Automation of Electric Power Systems, 2009, 33(3): 46-50(in Chinese).
4. Shang Jincheng, Liu Zhidu. Coordination theory of energy-saving generation dispatch and its application[J]. Automation of Electric Power Systems, 2009, 29(6): 109-114(in Chinese).
5. Wang Lingfeng, Singh Chanan. Reserve-constrained multi-area environmental/economic dispatch based on particle swarm optimization with local search[J]. Engineering Applications of Artificial Intelligence, 2009, 22(2): 298-307.
6. Duo Hanzheng, Sasaki H, Nagata T, et al. A solution for unit commitment using Lagrangian relaxation combined with evolutionary programming[J]. Electric Power Systems Research, 1999, 51(1): 71-77.
7. Yu Tingfang, Lin Zhongda. Application of float genetic algorithms-partially solved combined with punishing function in power plant units commitment problem[J]. Proceedings of the CSEE, 2009, 29(2): 107-112(in Chinese).
8. Silva J I, Sandoval C J, Edimar J O, et al. A Lagrangian multiplier based sensitive index to determine the unit commitment of thermal units[J]. International Journal of Electrical Power & Energy Systems, 2008, 30(9): 504-510.
9. Dieu V N, Weerakorn O. Ramp rate constrained unit commitment by improved priority list and augmented Lagrange Hopfield network [J]. Electric Power Systems Research, 2008, 78(3): 291-301.
10. Wu Jinhua, Wu Yaowu, Xiong Xinyin. Optimization of unit commitment by improved Hopfield neural network algorithm [J]. Automation of Electric Power Systems, 2003, 27(7): 41-44(in Chinese).
11. Li Xiaolei, Zhou Jingyang, Yu Erkeng, et al. Linear mixed integer programming algorithm for unit commitment based on dynamic search[J]. Automation of Electric Power Systems, 2008, 32(21): 18-22(in Chinese).
12. Li Jinghua, Wei Hua. A unit commitment model based on interior point method[J]. Power System Technology, 2007, 31(24): 28-34(in Chinese).
13. Wang Chengwen, Han Yong, Tan Zhongfu, et al. Dimension-reduced semi-analytical dynamic programming approach for solving unit commitment problem[J]. Transactions of China Electrotechnical Society, 2006, 21(5): 110-116(in Chinese).
14. Zhang Li, Zhao Jianguo, Han Xueshan. A new unit commitment algorithm considering network security constraints[J]. Power System Technology, 2006, 30(21): 50-55(in Chinese).
15. Chen Ye, Zhao Guobo, Liu Junyong, et al. An ant colony optimization and particle swarm optimization hybrid algorithm for unit commitment based on operate coding[J]. Power System Technology, 2008, 32(6): 52-56(in Chinese).
16. Jalilzadeh S, Shayeghi H, Hadadian H. Integrating generation and transmission networks reliability for unit commitment solution [J]. Energy Conversion and Management, 2009, 50(3): 777-785.