Economic Evaluation of ESS in Urban Railway Substation for Peak Load Shaving Based on Net Present Value

Park, Jong-young; Heo, Jae-Hyeok; Shin, Seungkwon; Kim, Hyungchul

doi:10.5370/jeet.2017.12.2.981

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…In recent years, a strong effort is being made to introduce renewables and storage in railway systems. This tendency intends the satisfaction of several main objectives: i) alleviate the substations load and then avoid peak loads (peak shaving) and, at the same time, reduce the system losses [32][33][34]; ii) turn the railway system an even more environmental friendly [35]; and iii) provide the means for regenerative energy storage [36,37].…”

Section: Literature Reviewmentioning

confidence: 99%

Traction power substation balance and losses estimation in AC railways using a power transfer device through Monte Carlo analysis

Morais

Martins

2022

Rail. Eng. Science

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The high dynamic power requirements present in modern railway transportation systems raise research challenges for an optimal operation of railway electrification. This paper presents a Monte Carlo analysis on the application of a power transfer device installed in the neutral zone and exchanging active power between two sections. The main analyzed parameters are the active power balance in the two neighbor traction power substations and the system power losses. A simulation framework is presented to comprise the desired analysis and a universe of randomly distributed scenarios are tested to evaluate the effectiveness of the power transfer device system. The results show that the density of trains and the relative branch length of a traction power substation should be considered in the evaluation phase of the best place to install a power transfer device, towards the reduction of the operational power losses, while maintaining the two substations balanced in terms of active power.

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Section: Literature Reviewmentioning

confidence: 99%

Traction power substation balance and losses estimation in AC railways using a power transfer device through Monte Carlo analysis

Morais

Martins

2022

Rail. Eng. Science

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“…All simulations observe a net present value (NPV) for the feasibility analysis of each case, calculated as follows [34]:…”

Section: Feasibility Studymentioning

confidence: 99%

Development of Operational Strategies of Energy Storage System Using Classification of Customer Load Profiles under Time-of-Use Tariffs in South Korea

2020

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This study proposes a methodology to develop adaptive operational strategies of customer-installed Energy Storage Systems (ESS) based on the classification of customer load profiles. In addition, this study proposes a methodology to characterize and classify customer load profiles based on newly proposed Time-of-Use (TOU) indices. The TOU indices effectively distribute daily customer load profiles on multi-dimensional domains, indicating customer energy consumption patterns under the TOU tariff. The K-means and Self-Organizing Map (SOM) sophisticated clustering methods were applied for classification. Furthermore, this study demonstrates peak shaving and arbitrage operations of ESS with current supporting polices in South Korea. Actual load profiles accumulated from customers under the TOU rate were used to validate the proposed methodologies. The simulation results show that the TOU index-based clustering effectively classifies load patterns into 'M-shaped' and 'square wave-shaped' load patterns. In addition, the feasibility analysis results suggest different ESS operational strategies for different load patterns: the 'M-shaped' pattern fixes a 2-cycle operation per day due to battery life, while the 'square wave-shaped' pattern maximizes its operational cycle (a 3-cycle operation during the winter) for the highest profits. Energies 2020, 13, 1723 2 of 17 algorithms [6]. Lee et al. classified the electric power consumption characteristics of industrial customers using the standard industry classification code in South Korea [7]. Bidoki et al. applied different clustering algorithms based on K-means, weighted fuzzy mean K-means, modified follow leader (MFTL), self-organizing map (SOM), and layer algorithm to classify load curves of different types of customers, and the results from comparing the clustering performances utilized to determine the adaptive clustering algorithms [8]. Zhou et al. proposed the five-stage process model based on K-means, SOM, Fuzzy c-average (FCM), and hierarchical clustering algorithms to analyze the impact of electric power suppliers and their consumers in smart grid circumstances [9]. Abubaker classified load profiles achieved from electricity consumers in the Tulkarm district based on the K-means algorithm [10].These clustering-based approaches for analyzing customer load profiles can be applied to the development of effective strategies for energy management in smart grid circumstances. The representative strategy utilizes the Energy Storage System (ESS) installed for electricity consumers [11]. The ESS is a device that enables the storage of electrical energy during off-peak times and supplies the stored energy at the requested time to reduce electricity costs for the customer. The South Korean government had established a long-term roadmap and supporting policies to increase the penetration level of ESS, and, consequently, South Korea has been positioned as the second largest nameplate capacity of ESS since 2016 [12].Several studies have proposed methodologies to optimize and deve...

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Technical and economic feasibility of increasing tram system efficiency with EV batteries

Zhang

Ballantyne

Zhao

et al. 2021

Transportation Research Part D: Transport and Environment

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Economic Evaluation of ESS in Urban Railway Substation for Peak Load Shaving Based on Net Present Value

Cited by 5 publications

References 11 publications

Traction power substation balance and losses estimation in AC railways using a power transfer device through Monte Carlo analysis

Traction power substation balance and losses estimation in AC railways using a power transfer device through Monte Carlo analysis

Development of Operational Strategies of Energy Storage System Using Classification of Customer Load Profiles under Time-of-Use Tariffs in South Korea

Technical and economic feasibility of increasing tram system efficiency with EV batteries

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