A hybrid harmony search algorithm with differential evolution for day-ahead scheduling problem of a microgrid with consideration of power flow constraints J Zhang, Y Wu, Y Guo, B Wang, H Wang, H Liu
Applied energy 183, 791-804, 2016
179 2016 Flow boiling enhancement of structured microchannels with micro pin fins D Deng, W Wan, Y Qin, J Zhang, X Chu
International Journal of Heat and Mass Transfer 105, 338-349, 2017
176 2017 Small population-based particle swarm optimization for short-term hydrothermal scheduling J Zhang, J Wang, C Yue
IEEE Transactions on Power Systems 27 (1), 142-152, 2012
154 2012 A modified MOEA/D approach to the solution of multi-objective optimal power flow problem J Zhang, Q Tang, P Li, D Deng, Y Chen
Applied Soft Computing 47, 494-514, 2016
139 2016 An improved NSGA-III integrating adaptive elimination strategy to solution of many-objective optimal power flow problems J Zhang, S Wang, Q Tang, Y Zhou, T Zeng
Energy 172, 945-957, 2019
115 2019 A modified chaotic differential evolution algorithm for short-term optimal hydrothermal scheduling J Zhang, S Lin, W Qiu
International Journal of Electrical Power & Energy Systems 65, 159-168, 2015
76 2015 Multi-energy microgrid robust energy management with a novel decision-making strategy T Chen, Y Cao, X Qing, J Zhang, Y Sun, GAJ Amaratunga
Energy 239, 121840, 2022
61 2022 A hybrid particle swarm optimization with small population size to solve the optimal short-term hydro-thermal unit commitment problem J Zhang, Q Tang, Y Chen, S Lin
Energy 109, 765-780, 2016
55 2016 Distributed robust control strategy of grid-connected inverters for energy storage systems’ state-of-charge balancing Y Xu, Z Li, J Zhao, J Zhang
IEEE Transactions on Smart Grid 9 (6), 5907-5917, 2018
53 2018 A small-population based parallel differential evolution algorithm for short-term hydrothermal scheduling problem considering power flow constraints J Zhang, S Lin, H Liu, Y Chen, M Zhu, Y Xu
Energy 123, 538-554, 2017
49 2017 Composite adaptive model predictive control for DC–DC boost converters L Po, L Ruiyu, S Tianying, Z Jingrui, F Zheng
IET Power Electronics 11 (10), 1706-1717, 2018
43 2018 Within-day Rolling Optimal Scheduling Problem for Active Distribution Networks by Multi-objective Evolutionary Algorithm based on Decomposition Integrating with Thought of … J Zhang, Z Li, B Wang
Energy 223, 120027, 2021
35 2021 MOEA/D with many-stage dynamical resource allocation strategy to solution of many-objective OPF problems J Zhang, X Zhu, P Li
International Journal of Electrical Power & Energy Systems 120, 106050, 2020
33 2020 Improved MOEA/D approach to many-objective day-ahead scheduling with consideration of adjustable outputs of renewable units and load reduction in active distribution networks J Zhang, X Zhu, T Chen, Y Yu, W Xue
Energy 210, 118524, 2020
29 2020 Three-level Day-Ahead Optimal Scheduling Framework Considering Multi-Stakeholders in Active Distribution Networks: Up-to-Down Approach J Zhang, Y Zhou, Z Li, J Cai
Energy, 119655, 2020
22 2020 A distributed maximum-likelihood-based state estimation approach for power systems T Chen, Y Cao, X Chen, L Sun, J Zhang, GAJ Amaratunga
IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020
21 2020 Real-time compressive sensing based control strategy for a multi-area power system Y Xu, Z Yang, J Zhang, Z Fei, W Liu
IEEE Transactions on Smart Grid 9 (5), 4293-4302, 2018
21 2018 A Distributed Robust Power System State Estimation Approach Using T Chen, Y Cao, L Sun, X Qing, J Zhang
IEEE Systems Journal 15 (1), 1066-1076, 2020
20 2020 NSGA-III integrating eliminating strategy and dynamic constraint relaxation mechanism to solve many-objective optimal power flow problem J Zhang, J Cai, H Zhang, T Chen
Applied Soft Computing 146, 110612, 2023
18 2023 Optimal PMU placement approach for power systems considering non-Gaussian measurement noise statistics T Chen, Y Cao, X Chen, L Sun, J Zhang, GAJ Amaratunga
International Journal of Electrical Power & Energy Systems 126 (Part A), 106577, 2021
17 2021 
Tengpeng ChenXiamen UniversityПотвърден имейл адрес: xmu.edu.cn
