scholarly journals Coordinated Operational Planning for Wind Farm With Battery Energy Storage System

2015 ◽  
Vol 6 (1) ◽  
pp. 253-262 ◽  
Author(s):  
Fengji Luo ◽  
Ke Meng ◽  
Zhao Yang Dong ◽  
Yu Zheng ◽  
Yingying Chen ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Farm ◽  
Storage System ◽  
Energy Storage System ◽  
Operational Planning ◽  
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 Implementation of Optimal Scheduling Algorithm for Multi-Functional Battery Energy Storage System

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1339 ◽  
Author(s):  
Hee-Jun Cha ◽  
Sung-Eun Lee ◽  
Dongjun Won
Keyword(s):  
Energy Storage ◽  
Electricity Market ◽  
Distribution System ◽  
Wind Farm ◽  
Storage System ◽  
Energy Storage System ◽  
Optimal Scheduling ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy

Energy storage system (ESS) can play a positive role in the power system due to its ability to store, charge and discharge energy. Additionally, it can be installed in various capacities, so it can be used in the transmission and distribution system and even at home. In this paper, the proposed algorithm for economic optimal scheduling of ESS linked to transmission systems in the Korean electricity market is proposed and incorporated into the BESS (battery energy storage system) demonstration test center. The proposed algorithm considers the energy arbitrage operation through SMP (system marginal price) and operation considering the REC (renewable energy certification) weight of the connected wind farm and frequency regulation service. In addition, the proposed algorithm was developed so that the SOC (state-of-charge) of the ESS could be separated into two virtual SOCs to participate in different markets and generate revenue. The proposed algorithm was simulated and verified through Matlab and loaded into the demonstration system using the Matlab “Runtime” function.

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