基于可再生能源配额制的风电并网节能经济调度Energy-saving and Economic Dispatch of Power System Containing Wind Power Integration Under Renewable Portfolio Standard
梁吉;左艺;张玉琢;赵新刚;
摘要(Abstract):
中国将适时实施可再生能源配额制(简称配额制),这是中国电力体制改革的一项重要举措。配额制的实施将对电网公司的购电策略产生影响,从而改变火电和风电机组的调度计划。构建了配额制下的风电并网节能经济调度模型,对比分析了配额制实施前与实施后的火电和风电出力计划,从而研究了配额制的实施对风电消纳量的影响。根据文中实证结果,在节能经济调度的基础上,配额制的实施能够进一步促进风电消纳,风电出力提高了1.7%,弃风率下降了20%。此外,较高的配额比例(10%)和绿色证书交易价格(0.45元)有利于提高风电消纳量,降低弃风率。
关键词(KeyWords): 节能经济调度;可再生能源配额制;可交易绿色证书;风电消纳
基金项目(Foundation):
作者(Author): 梁吉;左艺;张玉琢;赵新刚;
Email:
DOI: 10.13335/j.1000-3673.pst.2018.2187
参考文献(References):
- [1]张娜娜,严正,宋依群,等.可再生能源配额制下的短期发电计划模型研究[J].华东电力,2014,42(2):293-297.Zhang Nana,Yan Zheng,Song Yiqun,et al.Short-term generation scheduling model considering renewable portfolio standard[J].East China Electric Power,2014,42(2):293-297(in Chinese).
- [2]Zhang Y Z,Zhao X G,Ren L Z,et al.The development of the renewable energy power industry under feed-in tariff and renewable portfolio standard:A case study of China’s wind power industry[J].Journal of Cleaner Production,2017(168):1262-1276.
- [3]Zhang Y Z,Zhao X G,Ren L Z,et al.The development of China’s biomass power industry under feed-in tariff and renewable portfolio standard:A system dynamics analysis[J].Energy,2017(139):947-961.
- [4]Zhao X G,Zhang Y Z,Ren L Z,et al.The policy effects of feed-in tariff and renewable portfolio standard:A case study of China’s waste incineration power industry[J].Waste Management,2017(68):711-723.
- [5]Zhang Y,Zhao X,Zuo Y,et al.The development of the renewable energy power industry under feed-in tariff and renewable portfolio standard:a case study of china’s photovoltaic power industry[J].Sustainability,2017,9(4):532.
- [6]赵新刚,刘晓蒙,兰贝.可再生能源配额制对优化我国电源结构的影响分析[J].可再生能源,2013,31(4):1-5.Zhao Xingang,Liu Xiaomeng,Lan Bei.Analysis of the influences of RPS on the optimization of power source structure in China[J].Renewable Energy Resources,2013,31(4):1-5(in Chinese).
- [7]徐乾耀,康重庆,江长明,等.多时空尺度风电消纳体系初探[J].电力系统保护与控制,2013,41(1):28-32.Xu Qianyao,Kang Chongqing,Jiang Changming,et al.Preliminary analysis on wind power accommodation system from multiple temporal and spatial scale perspective[J].Power System Protection and Control,2013,41(1):28-32(in Chinese).
- [8]司守奎,孙玺菁.LINGO软件及应用[M].北京:国防工业出版社,2017:1-2,180-187.
- [9]王喆,余贻鑫,张弘鹏.社会演化算法在机组组合中的应用[J].中国电机工程学报,2004,24(4):12-17.Wang Zhe,Yu Yixin,Zhang Hongpeng.Social evolutionary programming based unit commitment[J].Proceedings of the CSEE,2004,24(4):12-17(in Chinese).
- [10]盛四清,李亮亮,刘梦.考虑多重不确定因素的含风电场低碳经济调度[J].现代电力,2016,33(2):77-83.Sheng Siqing,Li Liangliang,Liu Meng.Low-carbon economic dispatch of power system integrated with wind farms by considering uncertainties factors[J].Modem Electric Power,2016,33(2):77-83(in Chinese).
- [11]张娜娜.可再生能源配额制下的短期发电计划研究[D].上海:上海交通大学,2014.
- [12]陆俊,彭文昊,朱炎平,等.基于粒子校正优化的智能小区需求响应调度策略[J].电网技术,2017,41(7):2370-2377.Lu Jun,Peng Wenhao,Zhu Yanping,et al.A scheduling strategy based on particle correction for intelligent power demand response[J].Power System Technology,2017,41(7):2370-2377(in Chinese).
- [13]朱永胜,王杰,瞿博阳,等.采用基于分解的多目标进化算法的电力环境经济调度[J].电网技术,2014,38(6):1577-1584.Zhu Yongsheng,Wang Jie,Qu Boyang,et al.Environmental economic dispatch adopting multi-objective evolutionary algorithm based on decomposition[J].Power System Technology,2014,38(6):1577-1584(in Chinese).
- [14]张海峰,高峰,吴江,等.含风电的电力系统动态经济调度模型[J].电网技术,2013,37(5):1298-1303.Zhang Haifeng,Gao Feng,Wu Jiang,et al.A dynamic economic dispatching model for power grid containing wind power generation system[J].Power System Technology,2013,37(5):1298-1303(in Chinese).