scholarly journals Considering the Life-Cycle Cost of Distributed Energy-Storage Planning in Distribution Grids

2018 ◽  
Vol 8 (12) ◽  
pp. 2615 ◽  
Author(s):  
Tao Xu ◽  
He Meng ◽  
Jie Zhu ◽  
Wei Wei ◽  
He Zhao ◽  
...  
Keyword(s):  
Life Cycle ◽  
Energy Storage ◽  
Life Cycle Cost ◽  
Distribution Networks ◽  
Renewable Energy Resources ◽  
Distributed Energy ◽  
Distributed Energy Storage ◽  
The Face ◽  
Network Losses ◽  
Distribution Grids

In the face of the radical revolution of energy systems, there is a gradually held consensus regarding the adoption of distributed renewable energy resources, represented by Photovoltaic (PV) and wind generation. Consequently, the distributed Energy Storage Systems (ESSs) have become increasingly important in the distribution networks, as they provide the arbitrage and ancillary services. Determining the optimal installation site and the capacity of the distributed ESSs will defer the network reinforcements, reduce the investment of ESSs, and improve the reliability, flexibility, and efficiency of distribution grids. In order to investigate the optimal ESS configuration and to solve voltage fluctuations brought by the increased penetration of PV, in this study a two-stage heuristic planning strategy has been proposed, which considers both the economic operation and the lifetime of the distributed ESSs, to determine the optimal sitting and sizing of the ESSs, in the distribution grids. The first stage decides the optimal installation site and the economic scheduling of the ESSs, aiming to minimize the fabricating cost of the distributed ESSs and the network losses. Based on the output of the first stage, the second stage planning is further delivered to achieve the optimal ESS capacity, considering the Life-Cycle Cost (LCC) minimization. Finally, the feasibility and effectiveness of the proposed method is verified on a typical distribution case study network.

scholarly journals Investigation of behavior of BESS with PV using MATLAB/Simulink

2021 ◽  
Vol 9 (10) ◽  
pp. 1726-1730
Author(s):  
Yash Gupta
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Solar Photovoltaic ◽  
Distributed Energy ◽  
Distributed Energy Storage ◽  
Wide Range ◽  
Renewable Energy Generation ◽  
Distribution Grids

Abstract: As renewable energy penetration rises, integrating it will become a major issue that will necessitate new generating support infrastructure; an energy storage system is one answer to this problem. Battery technologies, in particular, have a wide range of energy and power output capabilities, making them perfect for integration. In many regions where renewable energy generation systems will be implemented, distributed energy storage on distribution grids may be required. When the sun is not shining or the weather is cloudy, an energy storage system is required for solar photovoltaic systems. For PV applications, a battery is used as an energy storage system. Keywords: Energy storage system, Battery, Simulink and modelling.

scholarly journals Parameterized Modeling and Planning of Distributed Energy Storage in Active Distribution Networks

2019 ◽  
Vol 9 (8) ◽  
pp. 1643 ◽  
Author(s):  
Tianyu Zhao ◽  
Hao Yu ◽  
Guanyu Song ◽  
Chongbo Sun ◽  
Peng Li
Keyword(s):  
Energy Storage ◽  
Programming Model ◽  
Linear Optimization ◽  
Close Correlation ◽  
Distribution Networks ◽  
Mixed Integer ◽  
Distributed Energy ◽  
Distributed Energy Storage ◽  
Parameterized Model ◽  
Active Distribution Networks

In recent years, distributed energy storage (DES) has experienced rapid growth and has been widely applied in active distribution networks (ADNs). Owing to the close correlation between the characteristics and the application scenarios, DES modeling needs to be parameterized separately for various application demands. In this paper, a parameterized model for optimal DES planning in ADNs is proposed. The typical scenarios for DES planning are generated by the clustering technique, containing the patterns of load demand, wind turbine output and photovoltaic output. Secondly, an optimal planning model of DES considering parameterized characteristics is established, which is essentially a mixed integer non-linear optimization problem. Then, the model is converted to a mixed-integer second-order cone programming model, which can be solved efficiently by available commercial software. Finally, case studies on the modified IEEE 33-node system and IEEE 123-node system verify the efficiency of the proposed method, and the effects of DES planning are validated by two evaluation indexes.

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