scholarly journals Hierarchical Distributed Control Strategy for Electric Vehicle Mobile Energy Storage Clusters

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1195 ◽  
Author(s):  
Mei Wu ◽  
Yu-Qing Bao ◽  
Gang Chen ◽  
Jinlong Zhang ◽  
Beibei Wang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Distributed Control ◽  
Control Strategy ◽  
Optimal Allocation ◽  
Lower Layer ◽  
Power Grid ◽  
Consensus Algorithm ◽  
Renewable Energy Resources ◽  
Storage Unit

The stability problem of the power system becomes increasingly important for the penetration of renewable energy resources (RESs). The inclusion of electric vehicles (EVs) in a power system can not only promote the consumption of RESs, but also provide energy for the power grid if necessary. As a mobile energy storage unit (MESU), EVs should pay more attention to the service life of their batteries during operation. A hierarchical distributed control strategy was proposed in this paper for mobile energy storage clusters (MESCs) considering the life loss of each EV’s battery. This strategy was divided into a two-layer control structure. Firstly, numerous EVs were divided into different clusters according to their regional relationships. The lower layer adopted a distributed collaborative control approach for allocating energy among EVs in the cluster. Under this condition, an aggregate EVs response model was established and the characteristic of the MESC was analyzed. Secondly, the upper layer applied the multi-agent consensus algorithm to achieve the optimal allocation among different clusters. Therefore, the control strategy realized the two-way communication of energy between EVs and the power grid, and ensured the optimal economical dispatch for the mobile energy storage system (MESS). Finally, the simulation of testing examples verified the effectiveness of the proposed strategy.

scholarly journals Optimal Allocation of Large-Capacity Distributed Generation with the Volt/Var Control Capability Using Particle Swarm Optimization

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3112
Author(s):  
Donghyeon Lee ◽  
Seungwan Son ◽  
Insu Kim
Keyword(s):  
Particle Swarm Optimization ◽  
Electric Power ◽  
Distributed Generation ◽  
Optimal Allocation ◽  
Power Grid ◽  
Particle Swarm ◽  
Renewable Energy Resources ◽  
Swarm Optimization ◽  
Large Capacity ◽  
Electric Power Grid

Widespread interest in environmental issues is growing. Many studies have examined the effect of distributed generation (DG) from renewable energy resources on the electric power grid. For example, various studies efficiently connect growing DG to the current electric power grid. Accordingly, the objective of this study is to present an algorithm that determines DG location and capacity. For this purpose, this study combines particle swarm optimization (PSO) and the Volt/Var control (VVC) of DG while regulating the voltage magnitude within the allowable variation (e.g., ±5%). For practical optimization, the PSO algorithm is enhanced by applying load profile data (e.g., 24-h data). The objective function (OF) in the proposed PSO method considers voltage variations, line losses, and economic aspects of deploying large-capacity DG (e.g., installation costs) to transmission networks. The case studies validate the proposed method (i.e., optimal allocation of DG with the capability of VVC with PSO) by applying the proposed OF to the PSO that finds the optimal DG capacity and location in various scenarios (e.g., the IEEE 14- and 30-bus test feeders). This study then uses VVC to compare the voltage profile, loss, and installation cost improved by DG to a grid without DG.

Multiagent-Based Coordination Consensus Algorithm for State-of-Charge Balance of Energy Storage Unit

2018 ◽  
Vol 20 (2) ◽  
pp. 64-77 ◽  
Author(s):  
Hanqing Yang ◽  
Liangzhen Yin ◽  
Qi Li ◽  
Weirong Chen ◽  
Lijun Zhou
Keyword(s):  
Energy Storage ◽  
State Of Charge ◽  
Consensus Algorithm ◽  
Charge Balance ◽  
Storage Unit ◽  
Energy Storage Unit

Research on the Flywheel Energy Storage System Applied in Green Architecture

2014 ◽  
Vol 1008-1009 ◽  
pp. 1466-1469
Author(s):  
Gui Xing Wang ◽  
Zhe Heng Zhou ◽  
Shuai Zheng ◽  
Qing Xie ◽  
Chao Ping Rao ◽  
...  
Keyword(s):  
Control System ◽  
Energy Storage ◽  
Power System ◽  
Power Grid ◽  
Storage System ◽  
Energy Storage System ◽  
Flywheel Energy Storage ◽  
Peak Period ◽  
Flywheel Energy Storage System ◽  
Green Architecture

In this research, a storage system, suitable for the power system of construction, is proposed and optimized. The storage system mainly consists of control system, converter, flywheel and motor. This system can release the pressure of the power grid during the on-peak period and supply the consumers with cheap energy. This research is going to analyze the characters of the system and then adjust its structure to the architecture.

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