.png){kind=icon}
返回
Distributed optimization model and algorithms for virtual energy storage systems using dynamic price
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jclepro.2020.125440.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Virtual energy storage systems (VESS) are important new equipment for distribution networks, consisting of battery energy storage systems (BESS) or flexible loads (FL), that improve peak shaving, frequency regulation and energy management. This paper focuses on power management and real-time control for multiple virtual energy storage systems (MVESS). To enhance renewable energy penetration using competing objective functions in MVESS, a distributed multi-objective power management scheme is proposed, where a Nash Bargaining Solution (NBS) is used to find optimal, unique and fair solutions. A distributed integral optimization algorithm, with fast convergence, is designed to solve the NBS-based problem, containing equality and inequality constraints. Distributed real time control for MVESS is proposed to increase system efficiency and control State of Energy (SoE) and proportional power sharing between BESS and FL. The mathematical analysis guarantees optimality and convergence for the two proposed algorithms. To evaluate the performance of the strategy, three different case studies were executed on a real time digital simulator (OPAL-RT OP560 0). Finally, the simulation results demonstrate that system power was shared optimally between VESS, with proportional power sharing among BESS and FL and SoE synchronization. (c) 2020 Elsevier Ltd. All rights reserved.
Keyword:
Virtual energy storage system
State of energy synchronization
Proportional power sharing
Distributed optimization power management
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
10
论文数:
4.6W
被引数:
36.8W
机构
引用论文
Optimal Design of an Islanded Microgrid With Load Shifting Mechanism Between Electrical and Thermal Energy Storage Systems具有热电储能系统负荷转移机制的孤岛微电网优化设计
PREAI
分享收藏Distributed Reactive Power Control and SOC Sharing Method for Battery Energy Storage System in Microgrids.png)
IEEE ACCESS
IEEE ACCESSIF3.6
PREAI
分享收藏Optimal Performance of Dynamic Particle Swarm Optimization Based Maximum Power Trackers for Stand-Alone PV System Under Partial Shading ConditionsIEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏
查看更多内容