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jiang distributed energy storage
Distributed energy storage planning in soft open point based active distribution
It is a consensus that distributed energy storage system (DESS) is effective in accommodating high-penetration DGs and providing more flexibility to the distribution system operation [2], [3]. The deployment of DESSs can mitigate the power fluctuations of volatile generation of distributed generators and maintain the secure
[PDF] A Hierarchical Control Structure for Distributed Energy Storage
A hierarchical control system for power sharing is proposed to achieve the state-of-charge (SOC) balancing among energy storage units (ESU) and simulation results indicate that the proposed method can achieve the SOC balancing robust operation in distributed energy storage system. To adapt to the rapid development of the
Distributed energy storage planning in soft open point based active distribution
This paper proposes an optimal planning model of distributed energy storage systems in active distribution networks incorporating soft open points and reactive power capability of DGs. The reactive power capability of DG inverters and on load tap changers are considered in the Volt/VAR control.
Yibao JIANG | Professor (Assistant) | Doctor of Philosophy
Distributed energy storage systems (DESSs) are widely utilized to regulate voltages in active distribution networks with high penetration of volatile renewable energy.
Distributed energy management for community microgrids considering network operational constraints and
The proposed distributed energy management was tested on a modified Oak Ridge National Laboratory microgrid test system, as shown in Fig. 3.The controller-hardware-in-the-loop (C-HIL) test system is composed of a real
Cost-efficiency based residential power scheduling considering
Optimal Scenario-based Operation and Scheduling of Residential Energy Hubs Including Plug-in Hybrid Electric Vehicle and Heat Storage System Considering
Aggregating Distributed Energy Storage: Cloud-Based Flexibility
A new type of business model has been proposed that uses cloud-based platforms to aggregate distributed energy storage resources to provide flexibility services to power
Aggregating Distributed Energy Storage: Cloud-Based Flexibility Services
Energy storage, as an effective and adaptable solution, may still be too expensive for peak shaving and renewable energy integration. A new type of business model has been proposed that uses cloud-based platforms to aggregate distributed energy storage resources to provide flexibility services to power systems and consumers.
Energy Storage‐Reactive Power Optimal Configuration for High Proportion New Energy Distribution
The increasing penetration rate of distributed energy brings more complex problems of voltage quality, safety and stability to the distribution network. A single optimal configuration of reactive power or energy storage is difficult to meet the increasingly diversified needs of modern power grids.
A Novel Power Distribution Strategy and Its Online Implementation for Hybrid Energy Storage
A novel power distribution strategy and its online application of HESSs that is very close to the offline PSO-based strategy proposed and exhibits good performance under all driving cycles is proposed. Hybrid energy storage systems (HESS) composed of a battery and ultracapacitor (UC) provide a feasible solution to the economy of electric
Energy Storage‐Reactive Power Optimal Configuration for High Proportion New Energy Distribution
The increasing penetration rate of distributed energy brings more complex problems of voltage quality, safety and stability to the distribution network. A single optimal configuration of reactive power or energy storage is difficult to meet the increasingly diversified needs of modern power grids. This paper proposes a configuration strategy
Distributed energy management for community microgrids
@article{Liu2019DistributedEM, title={Distributed energy management for community microgrids considering network operational constraints and building thermal dynamics}, author={Guodong Liu and Tao Jiang and Thomas Ben Ollis and Xiaohu Zhang and
Consensus-based multi-converter power allocation strategy in battery energy storage
Energy storage system [6] provides a flexible way for energy conversion, which is a key link in the efficient utilization of distributed power generation. Battery energy storage system (BESS) [7], [8] has the advantages of flexible configuration, fast response, and freedom from geographical resource constraints.
[PDF] Distributed energy storage planning in soft open point based active distribution
DOI: 10.1016/J.APENERGY.2017.07.004 Corpus ID: 116523636 Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability @article{Bai2018DistributedES, title
Distributed energy storage planning in soft open point based active distribution
Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability Linquan Baia, Tao Jiangb,, Fangxing Lia,, Houhe Chenb, Xue Lib a Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA
Ruicheng JIANG | Ph.D. student | Zhejiang University, Hangzhou | ZJU | Department of Energy
Ruicheng JIANG | Cited by 274 | of Zhejiang University, Hangzhou (ZJU) | Read 14 publications | Contact Ruicheng JIANG
Yajie JIANG | Doctor of Philosophy | The University of
In this paper, the loss of DC microgrid with distributed energy storage systems (DESSs) is modelled as one unified function of the output currents. Based on the theoretical proof of this
Multi‐stage dynamic optimal allocation for battery energy storage system in distribution
DOI: 10.1002/2050-7038.12644 Corpus ID: 224839104 Multi‐stage dynamic optimal allocation for battery energy storage system in distribution networks with photovoltaic system @article{Chen2020MultistageDO, title={Multi‐stage dynamic optimal allocation for
Optimal Allocation method on Distributed Energy Storage System in Active Distribution Network
The advantage of distributed energy storage system In AND with DGs, energy storage devices generally have two kinds of architectures: centralized architecture and distributed architecture [14]. The centralized architecture means that energy storage device will be installed in the same location, which can be used to balance the unstable
Cost-efficiency based residential power scheduling considering
Different from the existing literature on distributed generation with energy storage, from a cost efficiency perspective, we combine the utility generated by
Optimal configuration of multi microgrid electric hydrogen hybrid energy storage capacity based on distributed
DOI: 10.1016/j.est.2023.109762 Corpus ID: 265361959 Optimal configuration of multi microgrid electric hydrogen hybrid energy storage capacity based on distributed robustness In the context of the global low-carbon energy development strategy, the massive influx
Haiyang Jiang
Optimal planning of multi-time scale energy storage capacity of cross-national interconnected power system with high proportion of clean energy. H Jiang, E Du, C Jin,
Journal of Energy Storage | Vol 41, September 2021
Simplified mathematical model and experimental analysis of latent thermal energy storage for concentrated solar power plants. Tariq Mehmood, Najam ul Hassan Shah, Muzaffar Ali, Pascal Henry Biwole, Nadeem Ahmed Sheikh. Article 102871.
Planning of distributed energy storage by a complex network
An energy storage system (ESS) has been considered one promising technology in dealing with challenges from the risk of power fluctuations and load mismatch in power girds. A distributed ESS (DESS) has better efficiency in reducing net losses and operating costs.
Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing
1 INTRODUCTION With the large-scale access of new power services such as distributed renewable energy power sources and intelligent power transmission and distribution devices, the centralized control mode adopted by the traditional power system is difficult to
Journal of Energy Storage | Vol 91, 30 June 2024
Alexandre Lucas, Sara Golmaryami, Salvador Carvalhosa. Article 112134. View PDF. Article preview. Read the latest articles of Journal of Energy Storage at ScienceDirect , Elsevier''s leading platform of peer-reviewed scholarly literature.
Journal of Energy Storage | Vol 55, Part C, 25 November 2022
Chance-constrained model predictive control-based operation management of more-electric aircraft using energy storage systems under uncertainty. Xin Wang, Najmeh Bazmohammadi, Jason Atkin, Serhiy Bozhko, Josep M.
Multi-objective design optimization of a multi-type battery energy storage
Jiang et al. [24] proposed a unified mathematical model for a multi-type BESS to determine the optimal capacity configuration under the lowest total cost target. Liu et al. [25] applied an energy storage system that
Haiyang Jiang
Automation of Electric Power Systems 44 (19), 194-207., 2020. 45. 2020. Optimal planning of multi-time scale energy storage capacity of cross-national interconnected power system with high proportion of clean energy. H Jiang, E Du, C Jin, J Xiao, J Hou, N Zhang. Proceedings of the CSEE 41 (6), 2101-2115.
Directed-Graph-Observer-Based Model-Free Cooperative Sliding Mode Control for Distributed Energy Storage
With the aim to solve the problems related to the power distribution and current chattering in a distributed energy storage system (DESS), which can be considered as a multiagent system in dc microgrid, a model-free cooperative sliding mode control scheme with a
Optimal dispatch of distributed renewable energy and
In the upper dispatching stage, the energy storage systems distributed in various areas play a huge advantage, which presents a relatively obvious opposite direction characteristic with the
Planning of distributed energy storage by a complex network approach | Journal of Renewable and Sustainable Energy
Due to the target of carbon emission reduction and carbon neutrality, renewable energy source (RES) penetration is increasing rapidly in recent years. 1 However, higher penetration of renewable energy will significantly increase the risk of power fluctuations and load mismatches, impacting power supply stability, reliability, and
