摘要
风能作为最具竞争力的清洁能源之一,在电力行业低碳化进程中扮演着重要角色。然而风电的不确定性也为低碳电力调度带来诸多难题,传统的电力调度模式将不再完全适用。为此,本文建立了风电并网背景下的低碳电力调度模型:通过碳价量化环境成本使之与经济成本组成总运行成本;构造风能随机模型用于描述风电不确定性;引入惩罚因子和备用因子制约风电出力计划值与实际值之间的偏差。在案例分析中,首先讨论了碳价、惩罚因子和备用因子三类影响因素之间的关系:发现碳价与惩罚因子正相关,而与备用因子负相关;接着通过碳价量化惩罚因子和备用因子,定量刻画主观投资态度,并分析不同态度对于调度运营的影响;最终获得的调度策略可以实现经济性与低碳性、不确定性与确定性、客观性与主观性三者之间的平衡。
Wind power as one of the most competitive clean sources of energy will play an important role in China＇s power sector low-carbon process. The uncertainty of wind power brings about many problems for subsequent power dispatch, so traditional power scheduling will no longer be fully applicable. This paper establishes a low-carbon electricity scheduling model under wind power grid background： to calculate total operating cost by considering both economic cost and carbon price quantify environmental cost; to describe the uncertainty of wind power by constructing a wind stochastic model; to restrict the gap between planned wind power value and the actual value with subjective penalty factor and spare deviation factor. In the case study, we firstly discussed the relationship among carbon price, penalty factor, and spare factor and found a positive correlation between carbon price and penalty factor and a negative correlation between carbon price and spare factor. Then by qualifying penalty factor and spare factor with carbon price, subjective investment attitude was quantitatively characterized, and the impact of different investment approach on scheduling was analyzed. The scheduling policy ultimately obtained can achieve the balance between economy and environment, between uncertainty and certainty, between objectivity and subjectivity.
出处
《南京航空航天大学学报（社会科学版）》
2017年第2期10-17,共8页
Journal of Nanjing University of Aeronautics & Astronautics（Social Sciences）
基金
教育部人文社会科学研究青年基金项目(15YJC630048)
江苏省"333工程"科研项目(BRA2015332)
南通市科技计划项目(MS12015013)
关键词
碳价格
风力发电
投资态度
电力调度
carbon price
wind power
investment attitude
power dispatching
