Aggregate flexibility of virtual power plants with temporal coupling constraints

S Wang, W Wu - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
The virtual power plant (VPP) provides an efficient way to manage a bunch of distributed
energy resources (DERs). In order to participate in the system operation and power market …

Multi-objective dynamic economic emission dispatch integration with renewable energy sources and plug-in electrical vehicle using equilibrium optimizer

J Soni, K Bhattacharjee - Environment, Development and Sustainability, 2024 - Springer
The thermal power plants, electrical industries, and transportation are the major source of
emission of pollutant gases. Renewable energy sources (RES) such as wind plants and …

Multi-objective optimization of integrated energy systems considering ladder-type carbon emission trading and refined load demand response

Y Luo, H Hao, D Yang, B Zhou - Journal of Modern Power …, 2023 - ieeexplore.ieee.org
In this paper, a novel multi-objective optimization model of integrated energy systems (IESs)
is proposed based on the ladder-type carbon emission trading mechanism and refined load …

Hierarchical cluster coordination control strategy for large-scale wind power based on model predictive control and improved multi-time-scale active power …

Y Zhu, Y Zhang, Z Wei - Journal of Modern Power Systems and …, 2022 - ieeexplore.ieee.org
The grid-connection of large-scale and high-penetration wind power poses challenges to
the friendly dispatching control of the power system. To coordinate the complicated optimal …

Allocating ex-post deviation cost of virtual power plants in distribution networks

Y Yang, Y Wang, W Wu - … of Modern Power Systems and Clean …, 2022 - ieeexplore.ieee.org
Virtual power plants (VPPs) including distributed generation, energy storage, and elastic
load are emerging in distribution networks. Multiple VPPs can participate in electricity market …

Machine Learning Based Uncertainty-Alleviating Operation Model for Distribution Systems with Energy Storage

X Lu, X Fan, H Qiu, W Gan, W Gu… - Journal of Modern …, 2024 - ieeexplore.ieee.org
In this paper, an operation model for distribution systems with energy storage (ES) is
proposed and solved with the aid of machine learning. The model considers ES applications …

Analysis of power dispatching decisions with energy storage systems using the optimal probability distribution model of renewable energy

F Yang, J Feng, X Hu - Electric Power Systems Research, 2024 - Elsevier
Effectively managing the inherent unpredictability and fluctuation attributes of renewable
energy sources within scheduling systems has emerged as a critical matter demanding …

An efficient algorithm for solving entropy value-at-risk constrained DC optimal power flow considering wind power uncertainty

H Zeng, Q Guo, Y Zhou - 2024 IEEE Power & Energy Society …, 2024 - ieeexplore.ieee.org
Recently, risk constrained optimal power flow has become a promising approach to consider
the fluctuation of renewable energy in power system scheduling and operation. However …

A machine learning-based stochastic optimal energy management framework for a renewable energy-assisted isolated microgrid system

M Kumar, B Tyagi - Energy Sources, Part B: Economics, Planning …, 2024 - Taylor & Francis
This paper proposes a cost-based stochastic optimal energy management framework for a
renewable energy-assisted isolated microgrid system. These microgrids encourage the …

Techno-economic assessment of electrolytic hydrogen in China considering wind-solar-load characteristics

G Lu, B Yuan, Z Gu, H Chen, C Wu… - Frontiers in Energy …, 2023 - frontiersin.org
Hydrogen production by electrolysis is considered an essential means of consuming
renewable energy in the future. However, the current assessment of the potential of …