Multi energy complementary optimization scheduling method...
This article proposes a comprehensive method for optimizing and scheduling energy systems that is based on multi-objective optimization and multi-time scale decomposition.
This article proposes a comprehensive method for optimizing and scheduling energy systems that is based on multi-objective optimization and multi-time scale decomposition.
Multi-Time-Scale Hierarchical Optimization Scheduling of Wind-Solar-Storage Microgrids with Integrated Electric Vehicle Clusters Published in: 2025 4th International Conference on Green
With the increasing penetration of electric vehicles (EVs) and renewable energy sources, power system scheduling faces multiple challenges in terms of economic efficiency and security.
To address the challenge of source-load imbalance arising from the low consumption of renewable energy and fluctuations in user load, this study proposes a multi
This paper proposes a multi-time scale optimization scheduling method for an IES with hybrid energy storage under wind and solar uncertainties.
Case studies validate the effectiveness of the model, demonstrating that multi-timescale optimization of generalized energy storage in comprehensive energy systems can significantly
To address these challenges, a multi-time-scale active power coordinated operation method, consisting of day-ahead scheduling, hour
This article proposes a comprehensive method for optimizing and scheduling energy systems that is based on multi-objective optimization and multi-time scale decomposition.
This paper considers the randomness of renewable energy and the differences in energy at the time scale and proposes a multi-time scale optimization scheduling method for IES.
Multi-Time-Scale Hierarchical Optimization Scheduling of Wind-Solar-Storage Microgrids with Integrated Electric Vehicle Clusters Published in: 2025 4th International Conference on Green
Grid connection of random renewable energy such as wind power and photovoltaic results in difficulties of keeping power balance for power system operation. In order to solve
An et al. (Zhang et al., 2022a) took the operation cost as the objective function to optimize the scheduling and storage capacity allocation of the units in the hydro-wind-solar
Grid connection of intermittent renewable energy, such as wind power and photovoltaic, results in challenges of keeping power balance for power system operation. In
This paper addresses the limitations of existing research that focuses on single-sided resources and two-timescale optimization, overlooking the coordinated response of
Abstract The fluctuation and randomness of energy present significant challenges to the secure and reliable operation of energy supply systems. To address this issue, a
Then, a multi-timescale optimization scheduling model is developed for the day-ahead and intraday, taking into account the uncertainty of source load. This model is based on
Wang et al. [18] proposed a multi-time scale game-based optimization scheduling model for IES featuring various demand response models. Additionally, Xu et al. [19]
At present, besides traditional thermal and hydro power plants, pumped hydro storage and battery storage are the most commonly used resources, and they form a wind
Hybrid energy storage is considered as an effective means to improve the economic and environmental performance of integrated energy systems (IESs). Although th
By adopting a multi-time-scale scheduling strategy, the uncertainty of the system can be better mitigated. To achieve these two goals, the existing scheduling methods can be
Two-layered optimal scheduling under a semi-model architecture of hydro-wind-solar multi-energy systems with hydrogen storage Yonggang Li a, Yaotong Su a, Yuanjin
However, it continues to be challenging due to the inherent uncertainties of renewable sources and multi-energy loads. To tackle this issue, this study develops a novel multi-timescale
Furthermore, the proposed multi-time-scale scheduling method, making full use of the heat storage characteristics of the heating network, can
Secondly, the parameters and variables are divided into fast/slow timescale according to dispatch needs, and the multi-timescale problem of heterogeneous energy and
Based on the di erences in power regulation speed and regulating capacity of thermal power generators, hydro-pumped storage units, and batteries, a multi-time-scale scheduling
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This paper proposes a multi-time scale optimization scheduling method for an IES with hybrid energy storage under wind and solar uncertainties. Firstly, the proposed system framework of an IES including electric-thermal-hydrogen hybrid energy storage is established.
This paper proposes a multi-timescale prediction and optimization scheduling framework to address source-load energy uncertainty and ensure stable energy supply system operation. The main conclusions are as follows: The proposed multi-timescale prediction method effectively tackles source-load energy uncertainty.
Innovative multi-timescale scheduling: The paper presents a pioneering multi-timescale scheduling approach that integrates and optimizes the operation of generalized energy storage across key operational stages, enhancing the adaptability of integrated energy systems to variability.
Case studies validate the effectiveness of the model, demonstrating that multi-timescale optimization of generalized energy storage in comprehensive energy systems can significantly reduce operational costs and enhance system reliability.