An intelligent power management controller for grid-connected battery energy storage systems for frequency response service: A battery cycle life approach

Akpinar, Kubra Nur; Gundogdu, Burcu; Özgönenel, Okan; Gezegin, Cenk

doi:10.1016/j.epsr.2022.109040

Cited by 14 publications

(8 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the energy equation E = 0.5CU 2 /3.6×10 6 , the maximum capacity of the supercapacitor, Ecmax (kWh), and the minimum capacity, Ecmin (kWh), are respectively as follows:…”

Section: Battery and Supercapacitor Basic Modelmentioning

confidence: 99%

“…This model aims to optimize the allocation of energy storage capacity in order to reduce the impact of intermittent renewable energy sources on the power grid. In the context of energy storage capacity allocation to meet user demand, literature [6] proposes a method that is applicable to multiple scenarios and caters to individual user needs. This approach considers the economic requirements of different user types and employs hierarchical analysis to evaluate the configuration results.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-objective optimal allocation model of hybrid energy storage capacity based on generation, transmission and consumption demand

Zhao,

Li,

Peng

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

Current research on the optimal allocation of hybrid energy storage system (HESS) capacity lacks consideration of both consumption and user demand. Most of the available literature only considers unilateral demand. Therefore, this paper proposes a hybrid energy capacity allocation method that considers both wind power and user two-way demand. First, a flexible load model is constructed from the user-side demand response characteristics. Second, a HESS composed of batteries and super capacitors is established, and a HESS charging and discharging strategy is proposed. Again, the capacity optimization model is constructed with the objective function of the lowest cost, the smallest wind abandonment rate, and the highest electricity satisfaction of the HESS. Finally, in order to verify the effectiveness of the model, an arithmetic example analysis is carried out.

show abstract

“…Based on the energy equation E = 0.5CU 2 /3.6×10 6 , the maximum capacity of the supercapacitor, Ecmax (kWh), and the minimum capacity, Ecmin (kWh), are respectively as follows:…”

Section: Battery and Supercapacitor Basic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective optimal allocation model of hybrid energy storage capacity based on generation, transmission and consumption demand

Zhao,

Li,

Peng

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

show abstract

“…However, electricity transmission and energy penetrations varying according to the system frequency. Thus, Akpinar et al, [16] have introduced grid connected BESS for applying different conditions. Consequently fuzzy logic is adapted to make the best decision for the power output and manage the algorithms.…”

Section: Related Workmentioning

confidence: 99%

Research on intelligent auxiliary regulation technology of large power grid section based on artificial intelligence

Kun Zhang

2024

jes

View full text Add to dashboard Cite

In the modern era, large-scale renewable energy systems are integrated with advanced power systems and provide efficient operations. Also, optimized power systems require accurate energy generation and effective control systems to manage and ensure a stable power supply. Nevertheless, uncertainties are the intermittent balance of supply and high electricity demand. In addition, conventional power sources are not applicable for this challenging task and increase electricity costs. Therefore, an efficient Neuro Fuzzy Single phase Unified Power Quality Conditioner with Maximum Power Point Tracking (NF-SP UPQC -MPPT) strategy is developed for enhancing the grid-connected power systems. Here, Neuro-fuzzy logic is used as dynamic reactive power compensation in the grid. Also, this logic can efficiently handle the Energy storage system (ESS). Then SP UPQC was used to enhance power quality in electrical distribution systems. It combines both series and shunt compensators to mitigate various power quality issues such as voltage sags, harmonics, and unbalance. After that MPPT was utilized to extract the maximum power from the grid system. Model Predictive Control (MPC) controller to determine the overall stability and performance of the system. Moreover, the developed model was implemented on the MATLAB platform and performance is analyzed in terms of voltage deviation, grid current, reactive power fluctuations and Total Harmonic Distortion (THD).

show abstract

“…A day-ahead and real-time optimization model involving hybrid ES in frequency modulation is proposed, and the benefits of the ESS can be maximized through hierarchical distribution of hybrid ES power in [3]. In [4], based on the benefit analysis of a single ES participating in the FM market and the performance comparison with or without ES, the advantages of ES participating in the market and the problems that need to be improved are obtained. The optimization scheduling model including the participation of large-capacity ES on the grid side in dual auxiliary services is established to improve the economy of system operation in [5].…”

Section: Introductionmentioning

confidence: 99%

Two-layer optimal allocation method for alternative energy storage on power grid side considering auxiliary service requirements

Li,

Zhao,

Peng

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

In the case of the immature auxiliary service market, there is no flexible auxiliary service rules designed to comprehensively coordinate the power required by the grid and the charge and discharge strategy of ES. a two-layer optimization model considering energy storage (ES) auxiliary services is proposed. The optimization objectives are the lowest operating cost of the power grid and the lowest cost of the solar power station. In order to realize the optimal allocation of ES capacity, a dynamic pricing mechanism is proposed. It is passed from the upper level to the lower level. Through the analysis of examples, the optimal results can not only allow the energy storage to fully participate in the auxiliary service market, but also maximize the interests of the upper and lower levels.

show abstract

An intelligent power management controller for grid-connected battery energy storage systems for frequency response service: A battery cycle life approach

Cited by 14 publications

References 19 publications

Multi-objective optimal allocation model of hybrid energy storage capacity based on generation, transmission and consumption demand

Multi-objective optimal allocation model of hybrid energy storage capacity based on generation, transmission and consumption demand

Research on intelligent auxiliary regulation technology of large power grid section based on artificial intelligence

Two-layer optimal allocation method for alternative energy storage on power grid side considering auxiliary service requirements

Contact Info

Product

Resources

About