Dynamic Energy Storage Management for Dependable Renewable Electricity Generation

Blonbou, Ruddy; Monjoly, Stéphanie; Bernard, J I

doi:10.5772/52411

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…Composite or hybrid energy storage systems that uses both battery and capacitors (such as ultra and supercapacitors) have been proven to help mitigate both the fast ramps and slow ramps for grid-tied PV systems. The fast response time of capacitors when properly controlled could be used to mitigate the effects of fast ramp rates caused by fast moving clouds with PV generation [141,142]. Figure 11 shows how a typical DCESS architecture can be integrated with the smart grid.…”

Section: Dynamic and Composite Energy Storage Systemsmentioning

confidence: 99%

Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

et al. 2018

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Integration of high volume (high penetration) of photovoltaic (PV) generation with power grids consequently leads to some technical challenges that are mainly due to the intermittent nature of solar energy, the volume of data involved in the smart grid architecture, and the impact power electronic-based smart inverters. These challenges include reverse power flow, voltage fluctuations, power quality issues, dynamic stability, big data challenges and others. This paper investigates the existing challenges with the current level of PV penetration and looks into the challenges with high PV penetration in future scenarios such as smart cities, transactive energy, proliferation of plug-in hybrid electric vehicles (PHEVs), possible eclipse events, big data issues and environmental impacts. Within the context of these future scenarios, this paper reviewed the existing solutions and provides insights to new and future solutions that could be explored to ultimately address these issues and improve the smart grid's security, reliability and resiliency.

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Section: Dynamic and Composite Energy Storage Systemsmentioning

confidence: 99%

Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

et al. 2018

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“…Electrical and economic characteristics of the ESS depend on each type of technology. Table 1 summarises the data used for each type [30,33,[35][36][37]. Parameters of Table 1 correspond to the model presented in Section 2.2 where the ESS efficiency is represented by η.…”

Section: Dgmentioning

confidence: 99%

“…Characteristics of each type of ESS[30,33,[35][36][37]] −1.28 × 10 1 −1.27 × 10 1 1.16 × 10 3 1.00 × 10 4…”

mentioning

confidence: 99%

Methodology for ESS‐type selection and optimal energy management in distribution system with DG considering reverse flow limitations and cost penalties

Rangel

Canha

Sperandio

et al. 2018

IET Generation, Transmission & Distribution

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“…The system incorporates two penstocks (separate pump and turbine) to ensure that charging and discharging can occur simultaneously. Source: Blonbou et al, 2013 AppendixA.2. Storage models An energy balance around the PV system (Figure 1) yields…”

Section: Lead-acid Batteriesmentioning

confidence: 99%

Optimal integrated energy systems design incorporating variable renewable energy sources

Amusat

Shearing

Fraga

2016

Computers & Chemical Engineering

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The eect of variability in renewable input sources on the optimal design and reliability of an integrated energy system designed for o-grid mining operation is investigated via a two-stage approach. Firstly, possible energy system designs are generated by solving a deterministic non-linear programming (NLP) optimization problem to minimize the capital cost for a number of input scenarios. Two measures of reliability, the loss of power supply probability (LPSP) and energy index of reliability (EIR), are then evaluated for each design based on the minimization of the external energy required to satisfy load demands under a variety of input conditions. Two case studies of mining operations located in regions with dierent degrees of variability are presented. The results show that the degree of variability has an impact on the design conguration, cost and performance, and highlights the limitations associated with deterministic decision making for high variability systems.

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Dynamic Energy Storage Management for Dependable Renewable Electricity Generation

Cited by 7 publications

References 21 publications

Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

Methodology for ESS‐type selection and optimal energy management in distribution system with DG considering reverse flow limitations and cost penalties

Optimal integrated energy systems design incorporating variable renewable energy sources

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