Impact of Battery Energy Storage System Operation Strategy on Power System: An Urban Railway Load Case under a Time-of-Use Tariff

Kim, Hyeongig; Heo, Jae-Hyeok; Park, Jong-young; Yoon, Yong Tae

doi:10.3390/en10010068

Cited by 10 publications

(6 citation statements)

References 18 publications

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“…The capacity charge can be reduced when the peak load decreases. The energy charge is generally designed to reflect variability between wholesale and retail markets [23].…”

Section: Tou(time-of-use) Pricingmentioning

confidence: 99%

Cooperative Operation Schedules of Energy Storage System and Demand Response Resources Considering Urban Railway Load Characteristic under a Time-of-Use Tariff

Kim

Jung

et al. 2021

J. Electr. Eng. Technol.

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This 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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“…The capacity charge can be reduced when the peak load decreases. The energy charge is generally designed to reflect variability between wholesale and retail markets [23].…”

Section: Tou(time-of-use) Pricingmentioning

confidence: 99%

Cooperative Operation Schedules of Energy Storage System and Demand Response Resources Considering Urban Railway Load Characteristic under a Time-of-Use Tariff

Kim

Jung

et al. 2021

J. Electr. Eng. Technol.

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“…Battery Energy Storage system (BESS), which is playing the key role in balancing power, needs to maintain required capacity which is denoted by its State of Charge (SOC) level. Therefore, the additional requirement should be included to control the battery SOC level and to maintain it in a proclaimed range for safe operation [30]- [32].…”

Section: DC Bus Barmentioning

confidence: 99%

“…Figure 9 depicts the Schematic diagrams for control which are presented in [71]. In [32], real power sharing is facilitated in multiple inverters with BESS by using the droop controllers against the variable load and DG.…”

Section: Centralized Automatic Way Mastered By the Mgoccmentioning

confidence: 99%

Review of Applications of Fuzzy Logic in Multi-Agent-Based Control System of AC-DC Hybrid Microgrid

2019

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High penetration of renewable energies to smart grid technologies has lead the traditional electrical transmission and distribution network to undergo a significant evolution. Here, advanced control strategies are required to ensure the load balance in order to keep the voltage and frequency variation within an acceptable range. With the integration of dc energy sources and storages, another control constraint would be added due to the limitations in a storage system. Among recent developments in control techniques, fuzzy logic and multi agent systems have emerged due to its strong control action in an uncertain environment. Researchers have made satisfactory efforts in optimizing hybrid renewable energy sources using these technologies. This paper strives to highlight the approaches of controlling the energy storage systems, dc voltage, frequency, and ac voltage with the aid of the fuzzy logic and multi agent systems related controllers.

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“…In [32], the development and applications of the electric railway ESS have been discussed. In [33], the impact of ESS on a power system has been investigated under the urban railway load. However, these studies have not been considered by the T2G technology.…”

Section: Introductionmentioning

confidence: 99%

Reduction of Electricity Prices Using the Train to Grid (T2G) System in Urban Railway

Cho

Kim

et al. 2018

Energies

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Smart transportation technologies are being rapidly developed for enhancing the smart grid establishment. Such technologies are mostly focused on electric vehicles. However, the electric railroad has advantages in various aspects such as facility construction and utilization over an electric vehicle. Therefore, in this paper, we introduce the train-to-grid system using the electric railroads for the smart grid, and propose a reduction method for the electricity prices. The proposed method obtains actual data from the currently operating railroad systems. Furthermore, the number of trains for charging and discharging batteries is decided by using the time-of-use price and the number of railroad operations. The electricity prices are then determined by the energy consumption calculated using the number of trains used for charging and discharging and the capacity of the energy storage system in the trains. The proposed method is simulated using real data, and its superiority is verified by comparing its electric prices with the conventional electricity prices.

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Impact of Battery Energy Storage System Operation Strategy on Power System: An Urban Railway Load Case under a Time-of-Use Tariff

Cited by 10 publications

References 18 publications

Cooperative Operation Schedules of Energy Storage System and Demand Response Resources Considering Urban Railway Load Characteristic under a Time-of-Use Tariff

Cooperative Operation Schedules of Energy Storage System and Demand Response Resources Considering Urban Railway Load Characteristic under a Time-of-Use Tariff

Review of Applications of Fuzzy Logic in Multi-Agent-Based Control System of AC-DC Hybrid Microgrid

Reduction of Electricity Prices Using the Train to Grid (T2G) System in Urban Railway

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