A Novel Approach of Battery Energy Storage for Improving Value of Wind Power in Deregulated Markets

2013 ◽  
Vol 14 (3) ◽  
pp. 255-264 ◽  
Author(s):  
Y Minh Nguyen ◽  
Yong Tae Yoon
Keyword(s):  
Energy Storage ◽  
Real Time ◽  
Wind Power ◽  
Frequency Control ◽  
Minimum Cost ◽  
Wind Generation ◽  
Frequency Regulation ◽  
Battery Energy Storage ◽  
Novel Approach ◽  
Battery Energy

Abstract Wind power producers face many regulation costs in deregulated environment, which remarkably lowers the value of wind power in comparison with the conventional sources. One of these costs is associated with the real-time variation of power output and being paid in frequency control market according to the variation band. In this regard, this paper presents a new approach to the scheduling and operation of battery energy storage installed in wind generation system. This approach depends on the statistic data of wind generation and the prediction of frequency control market prices to determine the optimal charging and discharging of batteries in real-time, which ultimately gives the minimum cost of frequency regulation for wind power producers. The optimization problem is formulated as the trade-off between the decrease in regulation payment and the increase in the cost of using battery energy storage. The approach is illustrated in the case study and the results of simulation show its effectiveness.

"Simulation of an Isolated Wind Power System with Battery Energy Storage and Dump Load"

2018 ◽  
Author(s):  
Rafael Sebastián ◽  
Jerónimo Quesada
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Wind Power ◽  
Dynamic Models ◽  
Active Power ◽  
Frequency Regulation ◽  
Battery Energy Storage ◽  
Wind Power System ◽  
Battery Energy ◽  
System Frequency

"This study presents the modelling and dynamic simulation of an Isolated Wind Power System (IWPS) consisting of a Wind Turbine Generator (WTG), a synchronous machine (SM), consumer load, dump load (DL) and a Battery Energy Storage System (BESS). First the IWPS architecture and the dynamic models of the IWPS components are described. Second, the control requirements for frequency regulation of the IWPS are studied and a PID regulator to govern the active power stored+dumped by the BESS+DL combination or supplied by the BESS along with a power sharing algorithm between the BESS and DL is presented. Finally the IWPS is simulated facing to variations to load and WTG power. The simulation results are given showing graphs of the main electrical variables in the IWPS: system frequency and voltage and active power in each component. The results show how the BESS or BESS+DL combination regulates correctly the isolated system frequency. The results also show that the BESS improves the IWPS reliability when compared with the frequency control obtained using only the DL."

scholarly journals Impact of Advanced Load-Frequency Control on Optimal Size of Battery Energy Storage in Islanded Microgrid System

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2213
Author(s):  
Sandro Sitompul ◽  
Goro Fujita
Keyword(s):  
Energy Storage ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Frequency Regulation ◽  
Optimal Size ◽  
Battery Energy Storage ◽  
Expansion Planning ◽  
Load Frequency ◽  
Islanded Microgrid ◽  
Battery Energy

The application of battery energy storage (BES) in microgrid systems has attracted much attention in recent years. It is because the BES is able to store excess power and discharge its power when needed. In islanded microgrid systems, BES is starting to be considered as a unit that can regulate the system frequency. The control used in the BES to display frequency regulation performance is called load-frequency control (LFC). However, this participation resulted in the large size of the battery and high expansion planning cost. In this paper, an advanced LFC control that has frequency limitation compared to traditional LFC is proposed. The proposed control implies droop control as the base and has frequency limitations. Compared to the traditional LFC, the proposed control can reduce the system expansion planning costs. A performance simulation was done to validate battery performance. The results of the numerical simulation showed that the proposed control participated in reducing the operation cost. It directly led to a reduction in the expansion planning cost. A study of battery selection was conducted to draw the practicality of the BES sizing solutions.

scholarly journals A New Battery Energy Storage Charging/Discharging Scheme for Wind Power Producers in Real-Time Markets

Energies ◽  
2012 ◽  
Vol 5 (12) ◽  
pp. 5439-5452 ◽  
Author(s):  
Minh Nguyen ◽  
Dinh Nguyen ◽  
Yong Yoon
Keyword(s):  
Energy Storage ◽  
Real Time ◽  
Wind Power ◽  
Battery Energy Storage ◽  
Battery Energy

scholarly journals Real-Time Building Smart Charging System Based on PV Forecast and Li-Ion Battery Degradation

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3415 ◽  
Author(s):  
Wiljan Vermeer ◽  
Gautham Ram Chandra Mouli ◽  
Pavol Bauer
Keyword(s):  
Energy Storage ◽  
Real Time ◽  
Electric Vehicle ◽  
Frequency Regulation ◽  
Real Time Control ◽  
Battery Energy Storage ◽  
Time Control ◽  
Cost Of Energy ◽  
Smart Charging ◽  
Battery Energy

This paper proposes a two-stage smart charging algorithm for future buildings equipped with an electric vehicle, battery energy storage, solar panels, and a heat pump. The first stage is a non-linear programming model that optimizes the charging of electric vehicles and battery energy storage based on a prediction of photovoltaïc (PV) power, building demand, electricity, and frequency regulation prices. Additionally, a Li-ion degradation model is used to assess the operational costs of the electric vehicle (EV) and battery. The second stage is a real-time control scheme that controls charging within the optimization time steps. Finally, both stages are incorporated in a moving horizon control framework, which is used to minimize and compensate for forecasting errors. It will be shown that the real-time control scheme has a significant influence on the obtained cost reduction. Furthermore, it will be shown that the degradation of an electric vehicle and battery energy storage system are non-negligible parts of the total cost of energy. However, despite relatively high operational costs, V2G can still be cost-effective when controlled optimally. The proposed solution decreases the total cost of energy with 98.6% compared to an uncontrolled case. Additionally, the financial benefits of vehicle-to-grid and operating as primary frequency regulation reserve are assessed.

Sign in / Sign up

Export Citation Format

Share Document