論文: 1.Model selection mechanism of Interactive Multiple Load Modeling. International Journal of Electrical Power and Energy Systems, v 103, p 58-66, December 2018. 2.The Power System Environmental Optimal Dispatch Containing Air Quality Forecast. Energy Procedia, v 105, p 3623-3628, 2017. 3. Accurate Load Modeling Based on Analytic Hierarchy Process. Journal of Electrical and Computer Engineering, v 2016, 2016. 4. Economic Dispatch of Power System Containing Wind Power and Photovoltaic Considering Carbon Trading and Spare Capacity Variation. International Journal of Green Energy, 2016, 13(12):1267-1280. 5. The Optimal Dispatch with Combination of Wind Power and Photovoltaic Power Systems. Energy Procedia, v 103, p 94-99, December 1, 2016. 6..基于Crowbar的雙饋機組風電場等值模型與并網(wǎng)仿真分析, 電工技術(shù)學報, 2015, 30(4):44-51. 7.Parameter Identification of Load Models Using the CQDPSO Algorithm, Advanced Materials Research,2014,986:1375-1378. 8.Feature extraction and classification of load dynamic characteristics based on lifting wavelet packet transform in power system load modeling. International Journal of Electrical Power and Energy Systems,2014,62:353-363. 9.基于混沌與量子粒子群算法相結(jié)合的負荷模型參數(shù)辨識研究.電工技術(shù)學報,2014,29(12):211-217. 10. The load characteristics classification and synthesis of substations in large area power grid. International Journal of Electrical Power and Energy Systems, v 48, n 1, p 71-82, 2013. 11.考慮光伏并網(wǎng)的配電網(wǎng)潮流計算, 電工技術(shù)學報, 2013, 28(9):178-185. 12.Dynamic load modeling based on extreme learning machine[J].Applied Mechanics and Materials Vols. 195-196 (2012) pp 1043-1048. 13.基于貝葉斯證據(jù)框架的支持向量機負荷建模[J].電工技術(shù)學報,2009,24(8):127-134+140 14.基于粒子群與模擬退火相結(jié)合的無功優(yōu)化算法[J].山東大學學報(工學版),2008,38(6):15-20。 15.從復(fù)雜性視覺理解電力系統(tǒng)的負荷建模[J].高校教育研究,2008,(7):164-165。 專著:電力系統(tǒng)負荷建模理論與方法 授權(quán)發(fā)明專利:1.一種電力負荷動特性的特征提取方法 2.一種基于交互式多模型算法的電力負荷建模方法 3.一種基于馬爾柯夫蒙特卡羅的負荷特性綜合分類方法 4.基于Metropolis-Hastings與PSO相結(jié)合的無功優(yōu)化方法 5.一種基于層次分析法的負荷融合建模方法 獎勵:山東省科技進步二等獎2項,三等獎2項 |