The Influence of Energy Storage Systems on Emissions Reduction in Power Generation Systems based on Dual Optimization Methods

2021 ◽  
Vol 1 (2) ◽  
pp. 151-154
Author(s):  
Basim Thariq
2021 ◽  
Vol 61 (2) ◽  
pp. 563
Author(s):  
Hamed Sharafizad

For any facility, reliability and availability of power are key. Traditional gas- or diesel-driven power generation designs for facilities rely on generated spinning reserve to achieve power system stability and availability for defined operational scenarios and expected transients. Spinning reserve is extra generating capacity that is usually introduced by running additional power generator(s). Battery energy storage systems (BESSs) as energy storage units provide for a virtual spinning reserve in a hot standby arrangement to achieve the same effect for a set period during operating scenarios and transient events. Use of BESS technology is becoming more frequent within electrical network systems, remote sites and industrial facilities on the back of improved battery technology. This lends itself to better BESS reliability, effectiveness and lower associated cost to procure and install. Many of Clough’s projects are remote and islanded where they need to be self-sufficient, generating and distributing their own power needs. BESS units are scalable energy storage systems that can be used as a part of power generation solutions for facilities installed onshore or offshore. In addition to supplementing the primary generation on a facility as static storage units, BESS units offer benefits such as reduced emissions on facilities by not burning fossil fuels to achieve spinning reserve; they also allow for power management of generation systems, store any excess power from primary generators, allow for integration of renewables, offer constructability benefits and reduced operational/maintenance costs. The commercial and environmental benefits of BESS units are key drivers in Clough’s decision to embrace their use on future projects.


Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3380
Author(s):  
Jorge Torres ◽  
Marcos Blanco ◽  
Marcos Lafoz ◽  
Gustavo Navarro ◽  
Jorge Nájera ◽  
...  

This paper aims at presenting and describing a dimensioning methodology for energy storage systems (ESS), in particular for one based on flywheels, applied for the specific application of reducing power oscillation in a wave energy conversion (WEC) plant. The dimensioning methodology takes into account the efficiency maps of the storage technology as well as the effect of the filtering control techniques. The methodology is applied to the case study of a WEC plant in operation in Spain, using real power generation profiles delivered into the electric grid. The paper firstly describes the calculation procedure of the efficiency maps for the particular technology of flywheels, although it could be extended to other storage technologies. Then, the influence of using future data values in the dimensioning process and the control of the ESS operation is analysed in depth. A moving average filter (MAF) is defined to compensate for power oscillations, studying the difference between considering prediction and not doing so. It is concluded that a filtering control using future values based on a number of samples equivalent to a 4-min time order provides an important reduction in the energy storage requirements for a power generation plant. Finally, and based on the selection of storage modules previously defined, the efficiency maps, and the MAF used for delivering the power into the grid, an optimal operation strategy is suggested for the storage modules, based on a stepped switching technique. The selection of four flywheel energy storage system (FESS) modules achieves a reduction of 50% in power oscillations, covering 85% of the frequency excursions at the grid.


Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 349 ◽  
Author(s):  
Robert Basmadjian ◽  
Hermann Meer

Renewable energy sources, on one hand, are environmentally friendly, but on the other, they suffer from volatility in power generation, which endangers power-grid stability. A viable solution to circumvent the intermittent behavior of renewables is the usage of energy-storage systems. In this paper, we study the energy management of a proof-of-concept system consisting of solar panels, energy-storage systems, a power grid, and household loads. Using neural networks, we identify the most relevant parameters impacting the power generation of solar panels, and then train the corresponding network to derive forecasts. We also go one step further, and propose a heuristics-based energy-management policy for the purpose of reducing curtailments. We show that our proposed policy outperforms the naive policy by 8%, which does not consider any power-generation forecasts.


Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1907
Author(s):  
Chao-Tsung Ma ◽  
Chin-Lung Hsieh

Power systems all over the world have been under development towards microgrids integrated with renewable energy-based distributed generation. Due to the intrinsic nature of output power fluctuations in renewable energy-based power generation, the use of proper energy storage systems and integrated real-time power and energy control schemes is an important basis of sustainable development of renewable energy-based distributed systems and microgrids. The aim of this paper is to investigate the characteristics and application features of an integrated compound energy storage system via simulation and a small-scale hardware system implementation. This paper first discusses the main components, working principles and operating modes of the proposed compound energy storage system. Then, a detailed design example composed of supercapacitors, batteries, and various controllers used in two typical application scenarios, peak demand shaving and power generation smoothing, of a grid-connected microgrid is systematically presented. Finally, an experimental setup with proper power converters and control schemes are implemented for the verification of the proposed control scheme. Both simulation and implementation results prove that the proposed scheme can effectively realize desired control objectives with the proposed coordinated control of the two energy storage devices.


Sign in / Sign up

Export Citation Format

Share Document