Multi-objective Optimization Dispatching for Wind-Thermal Power Joint System Considering Temporal and Spatial Distribution of Air Pollutants

被引：0
|
作者：
Li Z. [1 ]
Chen Y. [1 ]
Yu T. [1 ]
Tang J. [1 ]
机构：
[1] School of Electrical Power, South China University of Technology, Guangzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 14期
基金：
中国国家自然科学基金;
关键词：
Chance-constrained stochastic program; Comprehensive assessment on pollutants; Environmental economic dispatching; Geographic grid; Multi-objective optimization;
D O I：
10.7500/AEPS20190225007
中图分类号：
学科分类号：
摘要：
This paper proposes a multi-objective optimization dispatching method for wind-thermal power joint system considering temporal and spatial distribution of air pollutants. Firstly, a temporal and spatial distribution model of pollutants is constructed, which takes the diurnal variation of the atmospheric boundary layer into account. The impact of pollutants emission is evaluated from ground-level air pollutant concentration and the spatial and temporal distribution of pollutants. Besides, based on the model above, a multi-objective optimization dispatching model for wind-thermal power system is constructed. The method of interpolation for geographic grid and the wind speed model are used to couple wind power generation and the spatial and temporal distribution of pollutants, and the randomness of output of wind power plant and temporal and spatial distribution of pollutants is taken into full consideration in dispatching model. Finally, the chance constraint of model is transformed by chance-constrained stochastic program, meanwhile, the multi-objective optimization method is employed to solve the optimization problem of the three targets, which include the economic cost, carbon emission and comprehensive assessment on pollutants. The cases of IEEE 39-bus system and Guangdong power grid indicate that, the distribution of air pollutants has spatial and temporal correlation with the meteorological condition. The method can not only reduce the air pollution caused by thermal power plants effectively, but also handle the extreme cases where the output generated from clean energy is limited and air pollutants are accumulated. © 2019 Automation of Electric Power Systems Press.
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页码：126 / 135
页数：9
相关论文
共 28 条
  • [1] WHO air quality guidelines-global update 2005
  • [2] Geng Z., Chen Q., Xia Q., Et al., Dispatching and operation of power system towards environmental synergy: connotations and prospects, Automation of Electric Power Systems, 41, 22, pp. 1-9, (2017)
  • [3] Miao M., Li Y., Cao Y., Et al., Optimization strategy of muti-energy hybrid AC/DC power system considering environmental factors, Automation of Electric Power Systems, 42, 4, pp. 128-134, (2018)
  • [4] Chen G., Chen J., Environmental/economic dynamic dispatch modeling and method for power systems integrating wind farms, Proceedings of the CSEE, 33, 10, pp. 27-35, (2013)
  • [5] Leppitsch M.J., Hobbs B.F., The effect of NO<sub>x</sub> regulations on emissions dispatch: a probabilistic production costing analysis, IEEE Transactions on Power Systems, 11, 4, pp. 1711-1717, (1996)
  • [6] Mandal K.K., Mandal S., Bhattacharya B., Et al., Non-convex emission constrained economic dispatch using a new self-adaptive particle swarm optimization technique, Applied Soft Computing, 28, 28, pp. 188-195, (2015)
  • [7] Chen Q., Kang C., Xia Q., Et al., Mechanism and modelling approach to low-carbon power dispatch, Automation of Electric Power Systems, 34, 12, pp. 18-23, (2010)
  • [8] Wang S.J., Shahidehpour S.M., Kirschen D.S., Et al., Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation, IEEE Transactions on Power Systems, 10, 3, pp. 1294-1301, (1995)
  • [9] Gent M., Lamont J., Minimum-emission dispatch, IEEE Transactions on Power Apparatus Systems, 90, 6, pp. 2650-2660, (1971)
  • [10] Schweizer P., Determining optimal fuel mix for environmental dispatch, IEEE Transactions on Automatic Control, 19, 5, pp. 534-537, (1974)
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