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Liwei Ju
Observed names:
Ju Liwei,
Li Wei Ju,
Li-Wei Ju,
Li-wei Ju,
Liwei JU
Institutions:
North China Electric Power University,
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources
Observed institutions:
North China Electric Power University,
China University of Petroleum, Beijing,
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources
ORCID:
0000-0003-2009-9389
Observed ORCID:
0000-0003-2009-9389
OpenAlex ID:
A5085196274
A bi-level stochastic scheduling optimization model for a virtual power plant connected to a wind–photovoltaic–energy storage system considering the uncertainty and demand response
2016
·
Liwei Ju
, Zhongfu Tan
, et al.
·
Applied Energy
·
336
Multi-objective stochastic scheduling optimization model for connecting a virtual power plant to wind-photovoltaic-electric vehicles considering uncertainties and demand response
2016
·
Liwei Ju
, Huanhuan Li
, et al.
·
Energy Conversion and Management
·
158
Multi-objective operation optimization and evaluation model for CCHP and renewable energy based hybrid energy system driven by distributed energy resources in China
2016
·
Liwei Ju
, Zhongfu Tan
, et al.
·
Energy
·
157
PDF
A multi-objective robust scheduling model and solution algorithm for a novel virtual power plant connected with power-to-gas and gas storage tank considering uncertainty and demand response
2019
·
Liwei Ju
, Rui Zhao
, et al.
·
Applied Energy
·
155
Nearly-zero carbon optimal operation model and benefit allocation strategy for a novel virtual power plant using carbon capture, power-to-gas, and waste incineration power in rural areas
2022
·
Liwei Ju
, Zhe Yin
, et al.
·
Applied Energy
·
151
Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transfer
2022
·
Wei Fan
, Liwei Ju
, et al.
·
Applied Energy
·
137
Application of CVaR risk aversion approach in the dynamical scheduling optimization model for virtual power plant connected with wind-photovoltaic-energy storage system with uncertainties and demand response
2017
·
Zhongfu Tan
, Guan Wang
, et al.
·
Energy
·
135
A CVaR-robust-based multi-objective optimization model and three-stage solution algorithm for a virtual power plant considering uncertainties and carbon emission allowances
2019
·
Liwei Ju
, Qinliang Tan
, et al.
·
International Journal of Electrical Power & Energy Systems
·
120
Dispatching optimization model of gas-electricity virtual power plant considering uncertainty based on robust stochastic optimization theory
2019
·
Zhongfu Tan
, Wei Fan
, et al.
·
Journal of Cleaner Production
·
112
Optimizing electric vehicle users’ charging behavior in battery swapping mode
2015
·
Rao Rao
, Xingping Zhang
, et al.
·
Applied Energy
·
107
A Bi-level optimization model of integrated energy system considering wind power uncertainty
2022
·
Wei Fan
, Qingbo Tan
, et al.
·
Renewable Energy
·
96
A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response
2022
·
Wei Fan
, Zhongfu Tan
, et al.
·
Energy
·
95
Multi-scenario operation optimization model for park integrated energy system based on multi-energy demand response
2019
·
Zhongfu Tan
, Shenbo Yang
, et al.
·
Sustainable Cities and Society
·
87
A two-stage scheduling optimization model and solution algorithm for wind power and energy storage system considering uncertainty and demand response
2014
·
Zhong-fu Tan
, Li-wei Ju
, et al.
·
International Journal of Electrical Power & Energy Systems
·
81
A two-stage optimal coordinated scheduling strategy for micro energy grid integrating intermittent renewable energy sources considering multi-energy flexible conversion
2020
·
Liwei Ju
, Qinliang Tan
, et al.
·
Energy
·
78
A two-stage optimization model for Park Integrated Energy System operation and benefit allocation considering the effect of Time-Of-Use energy price
2020
·
Shenbo Yang
, Zhongfu Tan
, et al.
·
Energy
·
74
Multi-objective electro-thermal coupling scheduling model for a hybrid energy system comprising wind power plant, conventional gas turbine, and regenerative electric boiler, considering uncertainty and demand response
2019
·
Liwei Ju
, Qinliang Tan
, et al.
·
Journal of Cleaner Production
·
67
A Tri-dimensional Equilibrium-based stochastic optimal dispatching model for a novel virtual power plant incorporating carbon Capture, Power-to-Gas and electric vehicle aggregator
2022
·
Liwei Ju
, Zhe Yin
, et al.
·
Applied Energy
·
66
Robust purchase and sale transactions optimization strategy for electricity retailers with energy storage system considering two-stage demand response
2020
·
Liwei Ju
, Jing Wu
, et al.
·
Applied Energy
·
64
Operation optimization and income distribution model of park integrated energy system with power-to-gas technology and energy storage
2019
·
Shenbo Yang
, Zhongfu Tan
, et al.
·
Journal of Cleaner Production
·
64
A multi-time scale dispatching optimal model for rural biomass waste energy conversion system-based micro-energy grid considering multi-energy demand response
2022
·
Liwei Ju
, Xiaolong Lu
, et al.
·
Applied Energy
·
63
Data-driven two-stage robust optimization dispatching model and benefit allocation strategy for a novel virtual power plant considering carbon-green certificate equivalence conversion mechanism
2024
·
Liwei Ju
, ShuoShuo Lv
, et al.
·
Applied Energy
·
62
PDF
A multi-objective stochastic optimization model for electricity retailers with energy storage system considering uncertainty and demand response
2020
·
Shenbo Yang
, Zhongfu Tan
, et al.
·
Journal of Cleaner Production
·
62
The optimization model for multi-type customers assisting wind power consumptive considering uncertainty and demand response based on robust stochastic theory
2015
·
Zhongfu Tan
, Liwei Ju
, et al.
·
Energy Conversion and Management
·
62
A multi-objective robust optimal dispatch and cost allocation model for microgrids-shared hybrid energy storage system considering flexible ramping capacity
2024
·
Yushu Pan
, Liwei Ju
, et al.
·
Applied Energy
·
51
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Works count:
114
Citation count:
3,567
H-index:
31
I10-index:
62
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