摘要
本文提出了基于信息熵的光伏发电选址定容方法,该方法利用信息熵衡量选址影响因素的重要性、最大可消纳光伏出力功率与光伏出力的波动相似程度,以待选节点决策量化值最大为选址目标,以消纳电量最大为定容目标,在提高光伏消纳能力的同时降低弃光率。最后,以华东某实际电网为例进行规划计算,验证了所提方法的合理性。
In this paper, a location and capacity method based on information entropy is proposed. The method uses information entro- py to measure the importance of location factors, the fluctuation similarity of maximum consuming photovoltaic power and photovoltaic output. The location target is maximum decision quantization of candidate node, and the capacity target is largest consumptive power. This method may improve the consumptive ability of photovoltaic and reduce discard rate. Finally, an actual power grid in east China is taken as an example to evaluate the rationality of the proposed method, and its validity is proved.
作者
李宏仲
高宇男
张雪莹
林冬
张婷
孙伟卿
LI Hongzhong;GAO Yu'nan;ZHANG Xueying;LIN Dong;ZHANG Ting;SUN Weiqing(Shanghai University of Electric Power, Shanghai 200090, China;Guangdong Power Grid Co. , Ltd. , Guangzhou 510600, China;Department of Optical-Electrical and Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China)
出处
《南方电网技术》
北大核心
2017年第9期54-61,共8页
Southern Power System Technology
基金
国家自然科学基金资助项目(51407117)~~
关键词
光伏发电
选址定容
信息熵
时序规划
消纳能力
photovoltaic power
location and capacity
information entropy
timing planning
consumptive ability