Economic trends and comparisons for optimizing grid-outage resilient photovoltaic and battery systems

Tsianikas, Stamatis; Zhou, Jian; Birnie, Dunbar P.; Coit, David W.

doi:10.1016/j.apenergy.2019.113892

Cited by 32 publications

(32 citation statements)

References 26 publications

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“…The input electric parameters are the demanded (permanent) power , demanded capacity , maximal power _ and demanded time of maximal power of the energy storage _ which will be explained below [4].…”

Section: Comparisson Assumptionsmentioning

confidence: 99%

“…The other input parameter is the expected number of charge/discharge working cycles per lifetime of the storage [4].…”

Section: Comparisson Assumptionsmentioning

confidence: 99%

“…The future system costs are calculated by equation (1) and are considered as evaluation factor of battery suitability for specific energy storage application [4].…”

Section: Comparisson Assumptionsmentioning

confidence: 99%

“…Where (USD) are the future system costs, (USD) are the investment costs, (%) is the interest rate for project lifetime, (%) is the year interest rate and (year) is the lifetime of the storage [4].…”

Section: Comparisson Assumptionsmentioning

confidence: 99%

“…2. [3], [4]. Since the is associated with the and the with the , the demanded power is calculated for each and the corresponding demanded capacity to each as shown in the equations (9) and (10) [3], [4].…”

Section: A Optimal Li-ion Battery Sizing Calculationmentioning

confidence: 99%

See 4 more Smart Citations

Assessing Suitability of Various Battery Technologies for Energy Storages : Lithium-ion, Sodium-sulfur and Vanadium Redox Flow Batteries

Vins¹,

Sirový²

2020

2020 International Conference on Applied Electronics (AE)

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The different state of the art industry battery technologies for large-scale energy storage applications are analyzed and compared in this paper. Focus has been paid to Lithium-ion, Sodium-sulfur and Vanadium redox flow batteries. The paper introduces employed methodology of the comparison and modeling. Typical case studies have been evaluated to present strong and weak sides of selected technologies on real applications.

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Section: Comparisson Assumptionsmentioning

confidence: 99%

“…The other input parameter is the expected number of charge/discharge working cycles per lifetime of the storage [4].…”

Section: Comparisson Assumptionsmentioning

confidence: 99%

“…The future system costs are calculated by equation (1) and are considered as evaluation factor of battery suitability for specific energy storage application [4].…”

Section: Comparisson Assumptionsmentioning

confidence: 99%

Section: Comparisson Assumptionsmentioning

confidence: 99%

Section: A Optimal Li-ion Battery Sizing Calculationmentioning

confidence: 99%

See 3 more Smart Citations

Assessing Suitability of Various Battery Technologies for Energy Storages : Lithium-ion, Sodium-sulfur and Vanadium Redox Flow Batteries

Vins¹,

Sirový²

2020

2020 International Conference on Applied Electronics (AE)

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Deep reinforcement learning for resilient microgrid expansion planning with multiple energy resource

Pang

Zhou

Tsianikas

et al. 2022

Quality & Reliability Eng

Self Cite

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Microgrid has attracted more and more attention to provide backup power for customers in the case of power grid outages. Microgrid expansion planning is significant to handle the increasing customer demand and to enhance power resilience. Current research about long‐term microgrid expansion planning rarely if ever considered the uncertainties associated with energy storage and power generation units, for example, battery cycle degradation. These factors have important influence on the performance of microgrid expansion planning in reality. In this paper, a long‐term microgrid expansion planning model with multiple energy resource is presented. Deep reinforcement learning method is used to obtain the cost‐effective microgrid expansion policies to enhance power resilience. In the case study, optimal microgrid expansion planning is achieved based on the proposed model. The impacts of battery degradation and resilience constraint on microgrid expansion policy optimization are also investigated. The simulation results prove the effectiveness of the proposed method on economic and resilient microgrid expansion planning.

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Residential Battery Storage System Sizing for the Medically Vulnerable from the Life Continuity Planning Perspective: Toward Economic Operation Using Uncertain Photovoltaic Output

Iwata

Fujimoto

Hayashi

2022

IEEJ Transactions Elec Engng

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Business continuity planning (BCP), which achieves a sustainable power supply for essential appliances under large‐scale disasters, is an important concept for hospitals. Similarly, life continuity planning (LCP) was developed in the housing field. It assists medically vulnerable people who require continuous use of medical equipment in their homes because a failure of the LCP during power outages causes serious problems. If PV systems are used, storage batteries would be most fitting to economically implement LCP during normal situations. This can be achieved by effectively utilizing PV power generation. Here, the installation of an appropriate battery capacity is crucial. Considering the uncertainty of PV power generation owing to weather conditions, appropriate sizing of the battery capacity maximizes the expected economic benefits while leaving a margin LCP implementation. We discuss uncertainty of PV power generation at a residential site by applying the envelope‐bound model (EBM), which is popular in information gap decision theory, and proposed a sizing method for a battery storage system that economically achieves LCP. We performed a case study to prove that the proposed method, which considers the uncertainty in the expected PV output based on EBM, can be an efficient decision‐making tool to select an appropriate battery size. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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Economic trends and comparisons for optimizing grid-outage resilient photovoltaic and battery systems

Cited by 32 publications

References 26 publications

Assessing Suitability of Various Battery Technologies for Energy Storages : Lithium-ion, Sodium-sulfur and Vanadium Redox Flow Batteries

Assessing Suitability of Various Battery Technologies for Energy Storages : Lithium-ion, Sodium-sulfur and Vanadium Redox Flow Batteries

Deep reinforcement learning for resilient microgrid expansion planning with multiple energy resource

Residential Battery Storage System Sizing for the Medically Vulnerable from the Life Continuity Planning Perspective: Toward Economic Operation Using Uncertain Photovoltaic Output

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