摘要
This paper develops a many-objective optimization model, which contains objectives representing the interests of the electricity and gas networks, as well as the distributed district heating and cooling units, to coordinate the benefits of all parties participated in the integrated energy system(IES). In order to solve the many-objective optimization model efficiently, an improved objective reduction(IOR) approach is proposed, aiming at acquiring the smallest set of objectives. The IOR approach utilizes the Spearman’s rank correlation coefficient to measure the relationship between objectives based on the Pareto-optimal front captured by the multi-objective group search optimizer with adaptive covariance and Lévy flights algorithm, and adopts various strategies to reduce the number of objectives gradually. Simulation studies are conducted on an IES consisting of a modified IEEE 30-bus electricity network and a 15-node gas network. The results show that the many-objective optimization problem is transformed into a bi-objective formulation by the IOR. Furthermore,our approach improves the overall quality of dispatch solutions and alleviates the decision making burden.
基金
supported by the State Key Program of National Natural Science Foundation of China(No.51437006)
Guangdong Innovative Research Team Program(No.201001N0104744201)
作者简介
Y.N.KOU received the B.E.degree in Electrical Engineering from Huazhong University of Science and Technology,Wuhan,China,in 2014.She is currently pursuing the M.S.degree at the same area in South China University of Technology,Guangzhou,China.Her research interests include stochastic optimization for power system considering the integration of renewable energy,multi-objective optimization and its application on integrated energy systems.epyn.kou@mail.scut.edu.cn;J.H.ZHENG received his B.E.degree in Electrical Engineering from Huazhong University of Science and Technology,Wuhan,China,in 2012.He is currently pursuing the Ph.D degree at the same area in South China University of Technology,Guangzhou,China.His research interests include the area of optimization,decision making and their applications on integrated energy systems.z.jh09@mail.scut.edu.cn;Zhigang LI received the B.S and Ph.D degrees in electrical engineering from Tsinghua University,Beijing,China,in 2011 and 2016,respectively.He is currently an associate professor with the School of Electric Power Engineering,South China University of Technology,Guangzhou,China.He was a visiting scholar at the Illinois Institute of Technology,Chicago,IL,USA,and the Argonne National Laboratory,Argonne,IL,USA from 2014 to 2015.His research interests include renewable energy integration,power system optimization,and integrated energy systems.lizg16@scut.edu.cn;Q.H.WU received the M.Sc.(Eng)degree in Electrical Engineering from Huazhong University of Science and Technology,Wuhan,China,in 1981.From 1981 to 1984,he was appointed Lecturer in Electrical Engineering in the University.He obtained a Ph.D degree in Electrical Engineering from The Queens University of Belfast(QUB),Belfast,U.K.in 1987.He worked as a Research Fellow and subsequently a Senior Research Fellow in QUB from 1987 to 1991.He joined the Department of Mathematical Sciences,Loughborough University,Loughborough,U.K.in 1991,as a Lecturer,subsequently he was appointed Senior Lecturer.In September,1995,he joined The University of Liverpool,Liverpool,UK,to take up his appointment to the Chair of Electrical Engineering in the Department of Electrical Engineering and Electronics.Now he is with the School of Electric Power Engineering,South China University of Technology,Guangzhou,China,as a Distinguished Professor and the Director of Energy Research Institute of the University.Professor Wu has authored and coauthored more than 480 technical publications,including 240 journal papers,20 book chapters and 3 research monographs published by Springer.He is a Fellow of IEEE,Fellow of IET,Chartered Engineer and Fellow of InstMC.His research interests include nonlinear adaptive control,mathematical morphology,evolutionary computation,power quality and power system control and operation.wuqh@scut.edu.cn
