An Efficient Testing Scheme for Power-Balanceability of Power System Including Controllable and Fluctuating Power Devices

Javaid, Saher; Kaneko, Mineo; Tan, Yasuo

doi:10.3390/designs4040048

Cited by 8 publications

(1 citation statement)

References 34 publications

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“…The development of smart demand-side energy management systems is required on the power consumer side, which can instantly and reliably respond to the power supplier's requests for power saving. Such energy management systems for the consumer side are needed to control power consumption without affecting the quality of life (QoL) of the home user [11][12][13][14]. To realize such systems, the introduction of decentralization, personalization, and bi-direction is essential.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control of Energy Storage Systems for Real-Time Power Mediation Based on Energy on Demand System

Javaid

Kato²

2022

Designs

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The concept of i-Energy as a new smart demand-side energy management system is proposed, which can realize the versatile and efficient control of e-power flows between distributed generators, numerous appliances, and energy storage systems in the home domain, factories, offices, and local communities. The Energy on Demand (EoD) system is proposed, which is the automatic power control and management system that supplies power to home appliances based on the power demand requests issued from the home appliances. The EoD system can guarantee the reduction in total power consumption by implementing a ceiling control while keeping the quality of life (QoL) of the home user considering the limitation of power supply. This paper proposes an adaptive battery storage management and control method based on the EoD system, which we call the “storage-supported EoD system”. In particular, the storage-supported EoD system can handle multiple power generators, including storage batteries. The overall goals of this paper are not limited to the extension of multiple power supplies only; rather, it provides additional contributions, which are (i) extend the existing power consumption control of home appliances and peak demand shift control (i.e., EoD system) by adding a second power source, i.e., a storage battery system; (ii) propose adaptive storage system design and management for the EoD system; (iii) realize minimum storage capacity for large peak power consumption; and (iv) minimize the home user’s discomfort level due to the limited power supply of one power source. The simulation results have shown the effectiveness of the proposed algorithm with a couple of experiments using real-life data in the smart apartment room. Additionally, simulation results are presented to compare and evaluate the proposed system performance with the EoD system.

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Section: Introductionmentioning

confidence: 99%

Adaptive Control of Energy Storage Systems for Real-Time Power Mediation Based on Energy on Demand System

Javaid

Kato²

2022

Designs

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Energy Balancing of Power System Considering Periodic Behavioral Pattern of Renewable Energy Sources and Demands

Javaid,

Kaneko,

Tan

2024

IEEE Access

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Renewable Energy Sources (RESs), such as wind and photovoltaic systems, represent environmentally sustainable options for power generation. However, the inherent variability in the output energy of RESs poses a significant challenge to their seamless integration into the power grid. Furthermore, fluctuations in consumer activity amplify the risks associated with power imbalances. To ensure the stable operation of power systems, it is critical to enhance their ability to manage fluctuations caused by renewable sources and dynamic demand. This paper introduces a pioneering concept for robust energy balancing designed to mitigate energy imbalances resulting from fluctuating generation and demand mismatches. This paper proposes system conditions for a power system to continue safe operation under any power levels of fluctuating generation and demand considering worst-case analysis. In other words, our theorem provides the boundary between a system that can continue its safe operation under any power levels of fluctuating generators and loads and a system that may experience power/energy imbalance due to the fluctuations of generators and loads. These two types of energy balancing conditions, named Supply-Dominated Energy Balancing (SDEB) and Demand-Dominated Energy Balancing (DDEB), apply worstcase operations for fluctuating power devices and best-case operations for controllable power devices. These two conditions jointly provide sufficient conditions for a power system to operate safely under any power level of fluctuations. The key idea behind these energy balancing concepts is the consideration of periodic behavioral patterns of fluctuating sources and loads and their upper and lower bound envelopes, enabling us to analyze the long-term system behavior by analyzing one-cycle operations. In addition, the extracted nontrivial upper-bound and lower-bound envelopes of fluctuating sources and loads offer a novel interpretation of the collaboration between storage systems and controllable sources/loads in energy balancing and provide insights into the minimum sizes required for these devices to sustain safe and uninterrupted power system operation. Finally, the application of the proposed SDEB and DDEB conditions to actual power generation and consumption data is demonstrated. In general, worst-case-based theoretical discussions tend to yield a result that is far apart from a practical situation. However, it is found that the difference between our result and another cost-based practical approach is relatively small, which reveals the potential of the proposed approach to work with more realistic constraints, preferences, etc., in practical situations. INDEX TERMSEnergy balancing, periodic behavioral patterns, energy storage systems, renewable energy sources, power fluctuations Nomenclature DDEB Demand-Dominated Energy Balancing E SSEnergy storage capacity of a power storage device Epg f (t s , t e ) Energy generation of a fluctuating power generator from time t s to t e Epg f.max (t s , t e ) Maximum energy generation...

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Storage Minimization Considering System Conditions of Power Flow System

Javaid

Kaneko

Tan

2021

2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

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An Efficient Testing Scheme for Power-Balanceability of Power System Including Controllable and Fluctuating Power Devices

Cited by 8 publications

References 34 publications

Adaptive Control of Energy Storage Systems for Real-Time Power Mediation Based on Energy on Demand System

Adaptive Control of Energy Storage Systems for Real-Time Power Mediation Based on Energy on Demand System

Energy Balancing of Power System Considering Periodic Behavioral Pattern of Renewable Energy Sources and Demands

Storage Minimization Considering System Conditions of Power Flow System

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