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考虑源荷不确定性的分时电价动态修正机制研究 被引量:9

RESEARCH ON DYNAMIC CORRECTION MECHANISM OF TIME-OF-USE ELECTRICITY PRICE CONSIDERING UNCERTAINTY OF SOURCE AND LOAD
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摘要 针对新型电力系统中可再生能源出力及负荷需求的不确定性造成源荷协调困难,导致难以制定合理的分时电价的问题,该文提出一种考虑源荷不确定性的分时电价动态修正机制。首先,根据可再生能源出力的波动性以及不确定性,建立新能源并网功率与并网电量偏差量化模型;其次,根据需求侧负荷的变化特征,结合可再生能源出力不确定性,通过多种不确定性因素影响条件的误差计算方法,建立电价概率密度模型。然后,根据负荷上报的用电量以及预报电价,建立考虑源荷不确定性的电力市场分时电价动态修正与优化模型,并采用粒子群算法进行模型求解。最后,通过实际运行数据仿真验证该文所提方法的有效性。 In view of the uncertainty of renewable energy output and load demand in the new power system,the source-load coordination is difficult,and it is difficult to establish a reasonable time-of-use electricity price. This paper proposes a dynamic modification mechanism of time-of-use electricity prices considering the uncertainty of source load. First,according to the volatility and uncertainty of renewable energy output,calculate the deviation of new energy grid-connected electricity;Secondly,according to the change characteristics of the demand side load,combined with the uncertainty of renewable energy generation,through the error calculation method of multiple uncertainty conditions,the probability density of the final output variable is obtained. Then,according to the electricity consumption reported by the load and the forecast electricity price,a power market price setting model with the uncertainty of the source load is established,and the dynamic correction of the time-of-use electricity price considering the uncertainty of the source load is carried out. Finally,the effectiveness of the method proposed in this paper is verified by actual data simulation.
作者 万玉良 尚国政 刘蒙聪 陈颖 李昱材 Wan Yuliang;Shang Guozheng;Liu Mengcong;Chen Ying;Li Yucai(State Grid Inner Mongolia Eastern Electric Power Co.,Ltd.,Hohhot 010010,China;School of Electric Power Engineering,Shenyang Institute of Technology,Shenyang 110136,China)
出处 《太阳能学报》 EI CAS CSCD 北大核心 2022年第11期493-500,共8页 Acta Energiae Solaris Sinica
基金 国网内蒙古东部电力有限公司科技项目(526601200005)。
关键词 电力市场 动态电价 可再生能源 电价优化 新型电力系统 electricity market dynamic electricity price renewable energy electricity price optimization new power system
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