Low-carbon Generation Grid Expansion Strategy: A Case Study from China Southern Power Grid

doi:10.12005/orms.2017.0039

Abstract

Abstract: To describe the optimal grid’s decisions of generator construction and power generation under stochastic environment, a recourse model with respect to energy structure and emission constraints is developed to minimize the total cost within the production cycle. The relationship of generator capacity and optimal solution along with other parameters is analytically discussed. A real case study from the China Southern Power Grid is studied. To solve the stochastic programming model, a scenario generation method is addressed on the realistic data. In the meantime, the related government planning proposals and company’s low-carbon development schedules are considered while building the constraints. The result from the numerical analysis reflects the paradox from keeping economic development and controlling the emission. The suggestions concerning the power grid construction in planning horizon and generation strategy in operation period are provided with practical value.

Key words: energy structure, carbon emission, power grid expansion, stochastic programming with recourse model

摘要： 研究了需求随机环境下电力企业关于电源建设与电力调度的最优决策;考虑电源机组的能源结构约束与运营发电期内的碳排放总量约束,构建了以总成本最小化为目标的带补偿二阶段随机规划模型;定性分析了模型的最优解与装机容量等其它参数之间的联系;以南方电网公司为例,基于真实的数据并考虑政府的规划建议与企业自身的低碳化发展要求,利用情景生成法求解随机规划模型。结果反映了电力系统发展过程中环保绩效与总成本之间的矛盾之外,为企业在实践运作中计划期的电力建设决策以及运营期的发电决策提供了一些有价值的建议。

关键词: 能源结构, 碳排放, 电网扩展, 二阶段带补偿随机优化

CLC Number:

C935

MA Qiu-zhuo, LI Qin, SONG Hai-qing. Low-carbon Generation Grid Expansion Strategy: A Case Study from China Southern Power Grid[J]. Operations Research and Management Science, 2017, 26(2): 106-116.

马秋卓, 李沁, 宋海清. 低碳电网扩张策略:以南方电网公司为例[J]. 运筹与管理, 2017, 26(2): 106-116.

References

[1] Kagiannas A G, Askounis D T, Psarras J. Power generation planning: a survey from monopoly to competition [J]. Int. J. Elect. PowerEnergy Syst., 2004(26):413-421.
[2] 谢传胜,董达鹏,贾晓希,陈英杰.中国电力行业碳排放分配——基于排放绩效[J].技术经济,2011,(11):57-62.
[3] Shahsavari Alavijeh H, Kiyoumarsioskouei A, Asheri M H, et al. Greenhouse gas emission measurement and economic analysis of Iran natural gas fired power plants[J]. Energy Policy, 2013, (60): 200-207.
[4] Steffen Rebennack. Generation expansion planning under uncertainty with emissions quotas[J]. Electric Power System Research, 2014, (114): 78-85.
[5] Benjamin F. Hobbs. Optimization methods for electric utility resource planning[J]. European Journal of Operational Research, 1995, (83): 1-20.[6] Jose L, Ceciliano Meza, Mehmet Bayram Yildirim, et al. Model for the multi-period multi-objective power generation expansion problem[J]. IEEE Transaction on Power System, 2007, (22): 878.
[7] Yanyi He, Lizhi Wanga, Jianhui Wang. Cap-and-trade vs. carbon taxes: a quantitative comparison from a generation expansion planning perspective[J]. Computers & Industrial Engineering, 2012, (63): 708-716.
[8] Zhu H, Huang G H. Dynamic stochastic fractional programming for sustainable management of electric power systems[J]. Electrical Power and Energy Systems, 2013, (53): 553-563.
[9] 娄素华,卢斯煜,吴耀武,尹项根.低碳电力系统规划与运行优化研究综述[J].电网技术,2013,(6):1483-1490.
[10] Shan Jin, Sarah Ryan M, Jean-Paul Watson, et al. Woodruff. Modeling and solving a large-scale generation expansion planning problem under uncertainty[J]. Energy Syst, 2011, (2): 209-242.
[11] Srivastava S C, Srivastava A K, Rout U K.Least cost generation expansion planning for a regional electricity board in India considering green house gas mitigation[J]. Proceedings of International Conference on Power System Technology, Perth, Australia: IEEE, 2000: 31-36.
[12] Sirikum J, Techanitisawad A, Kachitvichyanukul V. A new efficient GA-benders’ ecomposition method: for power generation expansion planning with emission controls[J]. IEEE Trans on Power Systems, 2007, (22): 1092-1100.
[13] Chen Qinxin, Kang Chongqing, Xia Qing. Power generation expansion planning model towards low-carbon economy and its application in China[J]. IEEE Trans on Power Systems, 2010, (25): 1117-1125.
[14] 安建强,鞠立伟,尚金成,等.火电、风电与抽水蓄能电站联合运行成本效益分析模型研究[J].水电能源科学,2012,(30):196-198-156.
[15] Brodesky S F, Hahn R W. Assessing the influence of power pools on emission constrained economic dispatch[J]. IEEE Trans on Power Systems, 1986, (1): 57-62.
[16] 陈启鑫,康重庆,夏清.低碳电力调度方式及其决策模型[J].电力系统自动化,2010,(12):18-23.
[17] 曹培玺:华能清洁能源装机比例已达15%[N]. http://energy.people.com.cn/GB/11545673.html.
[18] Michael Kaut, Stein W. Wallace. Evaluation of scenario generation methods for stochastic programming[J]. Pacific Journal of Optimization, 2007, (3): 257-271.
[19] Ch Pflug G. Scenario tree generation for multiperiod financial optimization by optimal discretization[J]. Math. Program, 2001, Ser. B 89: 251-271.