Optimal Operation Control for Multiple BESSs of a Large-Scale Customer Under Time-Based Pricing

Kim, Seul-Ki; Kim, Jong-Yul; Cho, Kyeong-Hee; Byeon, Gilsung

doi:10.1109/tpwrs.2017.2696571

Cited by 40 publications

(30 citation statements)

References 22 publications

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“…OSs in [69][70][71][72][73][74][75][76] maximize PS operators' profit and minimize PS operation costs by means of ESS. The OSs in [69,70] solve the security-constrained unit commitment problem using ESSs' regulation energy.…”

Section: Ps Oss Regulating the Energy Storage Systems Operation Durinmentioning

confidence: 99%

“…The OSs in [69,70] solve the security-constrained unit commitment problem using ESSs' regulation energy. OSs in [72][73][74] optimize the supply and demand market bids and optimally schedule the ESS operation so that the ESS owner can buy cheap energy on the market, temporarily store it in the ESS, and resell it.…”

Section: Ps Oss Regulating the Energy Storage Systems Operation Durinmentioning

confidence: 99%

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Review of Trends and Targets of Complex Systems for Power System Optimization

Vysocky

Mišák

2020

Energies

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Optimization systems (OSs) allow operators of electrical power systems (PS) to optimally operate PSs and to also create optimal PS development plans. The inclusion of OSs in the PS is a big trend nowadays, and the demand for PS optimization tools and PS-OSs experts is growing. The aim of this review is to define the current dynamics and trends in PS optimization research and to present several papers that clearly and comprehensively describe PS OSs with characteristics corresponding to the identified current main trends in this research area. The current dynamics and trends of the research area were defined on the basis of the results of an analysis of the database of 255 PS-OS-presenting papers published from December 2015 to July 2019. Eleven main characteristics of the current PS OSs were identified. The results of the statistical analyses give four characteristics of PS OSs which are currently the most frequently presented in research papers: OSs for minimizing the price of electricity/OSs reducing PS operation costs, OSs for optimizing the operation of renewable energy sources, OSs for regulating the power consumption during the optimization process, and OSs for regulating the energy storage systems operation during the optimization process. Finally, individual identified characteristics of the current PS OSs are briefly described. In the analysis, all PS OSs presented in the observed time period were analyzed regardless of the part of the PS for which the operation was optimized by the PS OS, the voltage level of the optimized PS part, or the optimization goal of the PS OS.

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Section: Ps Oss Regulating the Energy Storage Systems Operation Durinmentioning

confidence: 99%

Section: Ps Oss Regulating the Energy Storage Systems Operation Durinmentioning

confidence: 99%

Review of Trends and Targets of Complex Systems for Power System Optimization

Vysocky

Mišák

2020

Energies

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show abstract

“…The objective function has been calculated considering the Contracted Power is 10 kW. Among the referenced publications for optimal scheduling, [17] and [22] are the newest ones. The method from [22] aims for the same purpose and considers some real-time control.…”

Section: Energies 2019 12 X For Peer Review 11 Of 17mentioning

confidence: 99%

“…The method from [22] does consider a real-time control, although it is limited to grid power peak prevention.…”

mentioning

confidence: 99%

Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method

et al. 2019

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This paper presents a method to optimally use an energy storage system (such as a battery) on a microgrid with load and photovoltaic generation. The purpose of the method is to employ the photovoltaic generation and energy storage systems to reduce the main grid bill, which includes an energy cost and a power peak cost. The method predicts the loads and generation power of each day, and then searches for an optimal storage behavior plan for the energy storage system according to these predictions. However, this plan is not followed in an open-loop control structure as in previous publications, but provided to a real-time decision algorithm, which also considers real power measures. This algorithm considers a series of device priorities in addition to the storage plan, which makes it robust enough to comply with unpredicted situations. The whole proposed method is implemented on a real-hardware test bench, with its different steps being distributed between a personal computer and a programmable logic controller according to their time scale. When compared to a different state-of-the-art method, the proposed method is concluded to better adjust the energy storage system usage to the photovoltaic generation and general consumption.

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“…This control strategy manages BESS power and keeps SOC in a defined target region. A two-level control procedure was proposed in [114] to control the unreliability in forecast load and the estimated SOC levels of batteries. This control scheme handles unpredictability in load forecast and SOC calculation in both the scheduling and the real-time control phases.…”

Section: External Pi Regulatorsmentioning

confidence: 99%

Intermittent Smoothing Approaches for Wind Power Output: A Review

Jabir

Illias

Raza³

et al. 2017

Energies

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Abstract:Wind energy is one of the most common types of renewable energy resource. Due to its sustainability and environmental benefits, it is an emerging source for electric power generation. Rapid and random changes of wind speed makes it an irregular and inconsistent power source when connected to the grid, causing different technical problems in protection, power quality and generation dispatch control. Due to these problems, effective intermittent smoothing approaches for wind power output are crucially needed to minimize such problems. This paper reviews various intermittent smoothing approaches used in smoothing the output power fluctuations caused by wind energy. Problems associated with the inclusion of wind energy resources to grid are also briefly reviewed. From this review, it has been found that battery energy storage system is the most suitable and effective smoothing approach, provided that an effective control strategy is available for optimal utilization of battery energy system. This paper further demonstrates different control strategies built for battery energy storage system to obtain the smooth output wind power.

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Optimal Operation Control for Multiple BESSs of a Large-Scale Customer Under Time-Based Pricing

Cited by 40 publications

References 22 publications

Review of Trends and Targets of Complex Systems for Power System Optimization

Review of Trends and Targets of Complex Systems for Power System Optimization

Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method

Intermittent Smoothing Approaches for Wind Power Output: A Review

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