Planning of Power Generation Systems Based on Violation Analysis of Clean Energy Resources Availabilities

doi:10.11930/j.issn.1004-9649.2013.6.103.4

Abstract

Abstract: Reasonable plans for electric power generation systems are very critical for efficiency improvement in electric power industry. In this study, a lower-side-attainment-value-based inexact fuzzy chance-constraint programming model is developed to deal with the complexities and uncertainties in regional electric power generation system planning. Firstly, the model integrated the energy supply, conversion and consumption, the option, renovation and expansion of conversion technologies, the electricity generation and the pollutant mitigation into the planning frame, providing a foundation for optimized energy allocation. Secondly, based on probability(pi) levels, the violation of constraints on clean energy resource availabilities can be quantified, and the relationship between system costs and reliability can be reflected via the analysis on the solutions to energy supply, electricity generation, capacity expansion and emission mitigation under different pi levels, which is supportive to the security of generation side.

Key words: power generation, power, planning, emission mitigation, lower-side attainment value, chance-constraint, violation analysis

CLC Number:

TM715

HU Qing, HUANG Guo-he, LI Wei. Planning of Power Generation Systems Based on Violation Analysis of Clean Energy Resources Availabilities[J]. Electric Power, 2013, 46(6): 103-107.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2013.6.103.4

https://www.electricpower.com.cn/EN/Y2013/V46/I6/103

References

[1] CAI Y P, HUANG G H, YANG Z F, et al . Identification of optimal strategies for energy management systems planning under multiple uncertainties[J]. Applied Energy, 2009, 86(4): 480-95.
[2] CAI Y P, HUANG G H, TAN Q, et al . Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment[J]. Renewable Energy, 2009, 34(7): 1833-1847.
[3] LI Y F, LI Y P, HUANG G H, et al . Energy and environmental systems planning under uncertainty: An inexact fuzzy-stochastic programming approach[J]. Applied Energy, 2010, 87(10): 3189-3211.
[4] HUANG G H. A hydrid inexact-stochastic water management model[J]. European Journal of Operation Research, 1998, 107: 137-158.
[5] Van HOP N. Solving linear programming problems under fuzziness and randomness environment using attainment values[J].Information Sciences, 2007, 177(14): 2971-2984.
[6] HU Q, HUANG G H, LIU Z F, et al . Inexact fuzzy two-stage programming for water resources management in an environment of fuzziness and randomness[J].Stochastic Environmental Research and Risk Assessment, 2011, doi:10.1007/s00477-011-0503-7.
[7] 娄伟,李萌. 情景分析法在能源规划研究中的应用[J]. 中国电力,2012,45（10）：17-21.
LOU Wei, LI Meng. Application of scenario analysis in the research of energy economy [J]. Electric Power, 2012, 45(10): 17-21.
[8] 侯建朝,谭忠富. 电力生产CO 2 排放变化影响因素分解[J].中国电力,2011,44（11）：39-42.
HOU Jian-chao, TAN Zhong-fu. The factor decomposition of CO 2 emission changes in electricity production in China[J]. Electric Power, 2011, 44(11): 39-42.
[9] CAI Y P, HUANG G H, YANG Z F, et al . Community-scale renewable energy systems planning under uncertainty: an interval chance-constraint programming approach[J]. Renewable and Sustainable Energy Reviews, 2009, 13(4): 721-735.
[10] LIU Y, HUANG G H, CAI Y P, et al . Development of an inexact optimization model for coupled coal and power management in North China[J]. Energy Policy, 2009, 37(11): 4345-4363.
[11] HUANG G H, NIU Y T, LIN Q G, et al . An interval-parameter chance-constraint mixed-integer programming for energy systems planning under uncertainty[J]. Energy Sources Part B-Economic Planning and Policy, 2011, 6(2): 192-205.
[12] 张晓萱.考虑环境约束的不确定性城市能源系统优化模型[D].北京：华北电力大学,2010.

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