摘要
为了简便有效地筛选出合适的电力系统黑启动方案,在改进的数据包络分析模型(DEA)基础之上提出了理想方案排序法(TRIS)。首先构建新的改进DEA模型,分别计算出各个黑启动方案在改进DEA模型所得到公共权重下的效率值,再构造出排队指标值。通过对排队指标值进行排序,即可得出各个黑启动方案的相对有效性排序。该方法保持了原方法计算简便的优点,克服了由于所选非阿基米德无穷小量不同使黑启动方案优劣排序顺序不同的缺点。最后通过实例验证了该方法的可行性和有效性。
In order to choose the proper black start scheme conveniently and effectively, the paper proposes the ranking technique based on the ideal schemes(TRIS) by applying the improved data envelopment analysis(DEA). Firstly, the new improved DEA model is established and the efficiencies of each black start scheme are calculated respectively under the common weights obtained through the improved DEA model. Then, the ranking indicators are constructed. The relative effectiveness ranking of each black start schemes can be obtained through the ranking of the indicators. This method keeps the advantages of the improved data envelopment analysis in terms of computational simplicity, and overcomes the disadvantages of the non-Archimedean infinitesimals. Finally, the feasibility and effectiveness of the proposed method are verified through real case studies.
出处
《中国电力》
CSCD
北大核心
2017年第3期113-116,共4页
Electric Power
基金
北京市教育委员会专项资助项目(中国能源经济分析)(16JDGLB023)~~
关键词
黑启动
电力系统安全
数据包络分析(DEA)
非阿基米德无穷小量
理想方案排序法
排队指标值
black start
power system security
data envelopment analysis
non-Archimedean infinitesimal
technique for ranking based onthe ideal schemes
ranking indicator