A Statistical Approach to the Design of a Dispatchable Wind Power-Battery Energy Storage System

2009 ◽  
Vol 24 (4) ◽  
pp. 916-925 ◽  
Author(s):  
D. L. Yao ◽  
S. S. Choi ◽  
K. J. Tseng ◽  
T. T. Lie
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Statistical Approach ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Power Battery ◽  
Battery Energy

scholarly journals Battery Storage-Based Frequency Containment Reserves in Large Wind Penetrated Scenarios: A Practical Approach to Sizing

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3065 ◽  
Author(s):  
Monika Sandelic ◽  
Daniel-Ioan Stroe ◽  
Florin Iov
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Power Plants ◽  
Storage System ◽  
Economic Assessment ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy ◽  
Large Wind

This paper focuses on the sizing of a battery energy storage system providing frequency containment reserves in a power system with a large wind power penetration level. A three-stage sizing methodology including the different aspect of battery energy storage system performance is proposed. The first stage includes time-domain simulations, investigating battery energy storage system dynamic response and its capability of providing frequency reserves. The second stage involves lifetime investigation. An economic assessment of the battery unit is carried out by performing the last stage. The main outcome of the proposed methodology is to choose the suitable battery energy storage system size for providing frequency containment reserve from augmented wind power plants while fulfilling relevant evaluation criteria imposed for each stage.

scholarly journals Stochastic scheduling of battery energy storage system for large-scale wind power penetration

2019 ◽  
Vol 2019 (18) ◽  
pp. 5028-5032
Author(s):  
Pranda Prasanta Gupta ◽  
Prerna Jain ◽  
Suman Sharma ◽  
Kailash Chand Sharma ◽  
Rohit Bhakar
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Large Scale ◽  
Storage System ◽  
Stochastic Scheduling ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy

scholarly journals Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation

2018 ◽  
Vol 8 (10) ◽  
pp. 1957 ◽  
Author(s):  
Xin Jiang ◽  
Guoliang Nan ◽  
Hao Liu ◽  
Zhimin Guo ◽  
Qingshan Zeng ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Wind Farm ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Optimal Capacity ◽  
Battery Energy ◽  
Auxiliary Services

An optimal sizing model of the battery energy storage system (BESS) for large-scale wind farm adapting to the scheduling plan is proposed in this paper. Based on the analysis of the variability and uncertainty of wind output, the cost of auxiliary services of systems that are eased by BESS is quantized and the constraints of BESS accounting for the effect of wind power on system dispatching are proposed. Aiming to maximum the benefits of wind-storage union system, an optimal capacity model considering BESS investment costs, wind curtailment saving, and auxiliary services compensation is established. What’s more, the effect of irregular charge/discharge process on the life cycle of BESS is considered into the optimal model by introducing an equivalent loss of the cycle life. Finally, based on the typical data of a systems, results show that auxiliary services compensation can encourage wind farm configuration BESS effectively. Various sensitivity analyses are performed to assess the effect of the auxiliary services compensation, on-grid price of wind power, investment cost of BESS, cycle life of BESS, and wind uncertainty reserve level of BESS on this optimal capacity.

scholarly journals Optimizing Battery Energy Storage System Data in the Presence of Wind Power Plants: A Comparative Study on Evolutionary Algorithms

2020 ◽  
Vol 12 (24) ◽  
pp. 10257
Author(s):  
Ramin Sakipour ◽  
Hamdi Abdi
Keyword(s):  
Energy Storage ◽  
Evolutionary Algorithms ◽  
Wind Power ◽  
Power Plants ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Wind Power Plants ◽  
Battery Energy

This study deals with the optimization of battery energy storage system (BESS) data in terms of significant characteristics of life and efficiency, and their positive impacts on power system efficiency in the presence of wind power plants in a microgrid. To this end, a permanent magnet synchronous generator (PMSG) is used to convert the wind energy by connecting a three-phase dynamic load to the grid. The main novelty of the proposed method is designing a smart backup battery branch to improve the efficiency of the wind farm by maintaining the operating constraints even during the occurrence of harsh faults in the generation section. Additionally, for the first time, the characteristics of the BESS are optimized using nine evolutionary algorithms, including the genetic algorithm (GA), teaching–learning-based optimization (TLBO), particle swarm optimization (PSO), gravitational search algorithm (GSA), artificial bee colony (ABC), differential evolution (DE), grey wolf optimizer (GWO), moth–flame optimization algorithm (MFO), and sine cosine algorithm (SCA), and the results are compared with each other. The simulation results of a case study confirm the robustness of the proposed control strategy for the BESS.

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