Demand response programs in power systems with energy storage system-coordinated wind energy sources: A security-constrained problem

2022 ◽  
pp. 130342
Author(s):  
Hossein Ebrahimi ◽  
Amin Yazdaninejadi ◽  
Sajjad Golshannavaz
Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4332
Author(s):  
Morteza Vahid-Ghavidel ◽  
Mohammad Sadegh Javadi ◽  
Matthew Gough ◽  
Sérgio F. Santos ◽  
Miadreza Shafie-khah ◽  
...  

A key challenge for future energy systems is how to minimize the effects of employing demand response (DR) programs on the consumer. There exists a diverse range of consumers with a variety of types of loads, such as must-run loads, and this can reduce the impact of consumer participation in DR programs. Multi-energy systems (MES) can solve this issue and have the capability to reduce any discomfort faced by all types of consumers who are willing to participate in the DRPs. In this paper, the most recent implementations of DR frameworks in the MESs are comprehensively reviewed. The DR modelling approach in such energy systems is investigated and the main contributions of each of these works are included. Notably, the amount of research in MES has rapidly increased in recent years. The majority of the reviewed works consider power, heat and gas systems within the MES. Over three-quarters of the papers investigated consider some form of energy storage system, which shows how important having efficient, cost-effective and reliable energy storage systems will be in the future. In addition, a vast majority of the works also considered some form of demand response programs in their model. This points to the need to make participating in the energy market easier for consumers, as well as the importance of good communication between generators, system operators, and consumers. Moreover, the emerging topics within the area of MES are investigated using a bibliometric analysis to provide insight to other researchers in this area.


Author(s):  
Pan Zhao ◽  
Yiping Dai ◽  
Jiangfeng Wang ◽  
Danmei Xie

Due to the increasing oil and gas demand, the shortage of fossil fuel resources, serious global greenhouse effect and extremely environmental deterioration, the renewable energy sources are more and more attractive. The energy storage is a vital problem for the intermittent and seasonal renewable energy sources. In this paper, a wind energy storage system consideration of chlorine production which is located in remote offshore area is proposed. The detailed dynamic models are established and simulations are also carried out. The proposed system stores the surplus energy generated from wind farm as a form of hydrogen via the electrolyzer array, and uses the stored hydrogen to generated electrical energy at poor wind condition through a PEM fuel cell array. The simulation results show that the proposed system could not only absorb the wind power maximally, but also produce sufficient electric energy to meet the load power demands. Moreover, the proposed system could tolerate the frequently impulses because of the variations of wind energy on the small stand-alone power system effectively.


Author(s):  
Nick Carew ◽  
William Warnock ◽  
Ramazan Bayindir ◽  
Eklas Hossain ◽  
Adnan Siraj Rakin

Renewable energy sources are becoming a popular choice of energy, due to their sundry advantages and more convenient environmental impacts. Wind certainly emerges as one of the most plausible energy sources in modern power generation. However, large-scale wind energy is associated with fluctuations in voltage and power due to its intermittent nature. The proposed pumped hydroelectric energy storage system offers one of the best solutions in solving this problem. It is shown that large-scale integration of wind energy becomes more feasible and efficient when a proper energy storage system is added to achieve appropriate energy charging or discharging. Upon comparing the potential of different storage systems, pumped hydroelectric energy storage is found to be highly promising for wind integration. In order to demonstrate the behavior of the integrated system with respect to time constant and to verify the feasibility of the energy storage in different case studies, simulations are performed in Matlab/Simulink. This work would open new doors toward the investigation of large-scale wind power integration. It is also expected that pumped hydroelectric energy storage would become a possible alternative for energy reserves for large-scale wind power applications.


2017 ◽  
Vol 68 (11) ◽  
pp. 2641-2645
Author(s):  
Alexandru Ciocan ◽  
Ovidiu Mihai Balan ◽  
Mihaela Ramona Buga ◽  
Tudor Prisecaru ◽  
Mohand Tazerout

The current paper presents an energy storage system that stores the excessive energy, provided by a hybrid system of renewable energy sources, in the form of compressed air and thermal heat. Using energy storage systems together with renewable energy sources represents a major challenge that could ensure the transition to a viable economic future and a decarbonized economy. Thermodynamic calculations are conducted to investigate the performance of such systems by using Matlab simulation tools. The results indicate the values of primary and global efficiencies for various operating scenarios for the energy storage systems which use compressed air as medium storage, and shows that these could be very effective systems, proving the possibility to supply to the final user three types of energy: electricity, heat and cold function of his needs.


2021 ◽  
Vol 16 (3) ◽  
pp. 1273-1284
Author(s):  
Hye Ji Kim ◽  
Hosung Jung ◽  
Young Jun Ko ◽  
Eun Su Chae ◽  
Hyo Jin Kim ◽  
...  

AbstractThis paper proposes an algorithm for the cooperative operation of air conditioning facilities and the energy storage system (ESS) in railway stations to minimize electricity. Unlike traditional load patterns, load patterns of an urban railway station can peak where energy charge rates are not high. Due to this possibility, if applying the traditional peak-reduction algorithm to railway loads, energy changes can increase, resulting in higher electricity bills. Therefore, it is required to develop a new method for minimizing the sum of capacity charges and energy charges, which is a non-linear problem. To get a feasible solution for this problem, we suggest an algorithm that optimizes the facility operation through two optimizations (primary and secondary). This method is applied to the air-quality change model for operating air conditioning facilities as demand-response (DR) resources in railway stations. This algorithm makes it possible to estimate operable DR capacity every hour, rather than calculating the capacity of DR resources conservatively in advance. Finally, we perform a simulation for the application of the proposed method to the operation of DR resources and ESS together. The simulation shows that electricity bills become lowered, and the number of charging and discharging processes of ESS is also reduced.


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