Towards a sustainable electricity grid: Market and policy for demand-side storage and wind resources

Ademulegun, Oluwasola O.; Keatley, Patrick; Agbonaye, Osaru; Jaramillo, Andres F. Moreno; Hewitt, Neil

doi:10.1016/j.jup.2020.101116

Cited by 8 publications

(7 citation statements)

References 22 publications

(16 reference statements)

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“…Meanwhile, as discussed under the Section 4.1, with respect to the stability and reliability of the electricity grid, the devices connected to the grid or any mechanism deployed through the electricity network must be integrated securely to maintain a stable and reliable electricity grid operation [55], where a device connected could be a power source or a power sink, and a balance of power maintained instantaneously as depicted in Figure 8. In analysing the benefit of the incremental network upgrade solution with conventional network upgrade solution, the lifespan of the charging station and any energy storage device must be considered with respect to the conventional network upgrade solution (typically lasting for up to 40 years).…”

Section: Location-specific Considerations For Optimalitymentioning

confidence: 99%

Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions

et al. 2022

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Electric Vehicles (EVs) replace fossil fuel vehicles in effort towards having more sustainable transport systems. The battery of an EV is recharged at a charging point using electricity. While some recharging will be required at locations where vehicles are normally parked, other recharging could be necessary at strategic locations of vehicular travel. Certain locations are suitable for EV charging station deployment, others are not. A multi-stage decision analysis methodology for selecting suitable locations for installing EV charging station is presented. The multi-stage approach makes it possible to select critical criteria with respect to any defined objectives of the EV charging station and techno-physio-socio-economic factors without which the EV charging station could not be deployed or would not serve its designated purpose. In a case, the type of charging station is specified, and a purpose is defined: rapid EV charging stations intended for public use within and across border regions. Applied in siting real EV charging stations at optimal locations, stages in the methodology present additional techno-physio-socio-economic factors in deploying the type of EV charging stations at optimal locations and keep the EV charging stations operating within acceptable standards. Some locations were dropped at the critical analysis stage; others were dropped at the site-specific analysis stage and replacement sites were required in certain instances. Final locations included most optimal, less optimal, least optimal, and strategic or special need locations. The average distances between contiguous recharging locations were less than 60 miles. Using any specified separation standard, the number of additional EV charging stations required between EV charging stations were determinable with the Pool Box. The Overall Charging Station Availability quadrants suggest that the overall user experience could get worse as less-standardized additional EV charging stations are deployed.

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Section: Location-specific Considerations For Optimalitymentioning

confidence: 99%

Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions

et al. 2022

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“…A future scenario electricity grid in places where a Net Zero emission target has been set is stable and reliable, delivers its electricity equitably such that there is consistently fair and impartial relationship between the electricity stakeholders, and the grid produces, transmits, and distributes its electricity following Net Zero emissions processes: depicted within the intersection of the circles of Fig. 2 [29]. Fig.…”

Section: Policy For Energy Supplymentioning

confidence: 99%

“…Fig. 2: Sustainability of Electricity Grid [29] The market plans that would be required to ensure that storage and flexibility techniques could be deployed to support the integration of more renewable resources at the customer premise have been given in [29]. However, at the higher voltage end of the network (at 110 kV level) that is beyond the reach of customer premise devices and where there are certain constraints and curtailments of variable renewables, mass energy storage device could be deployed to reduce or eliminate the restrictions on the variable renewables; the storage device could also provide other valuable services through equitable markets.…”

Section: Policy For Energy Supplymentioning

confidence: 99%

“…Electric vehicles and heating processes represent additional loads that could be managed with storage and flexibility techniques. The tariff designs and policies that will create an equitable market in support of utilising more wind and solar resources towards achieving sustainability of the electricity grid with the storage and flexibility techniques are described in [29]. And essential standardised resource management tools have been highlighted in [55].…”

Section: Storage and Flexibility Techniques Within Distribution Netwo...mentioning

confidence: 99%

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Techno-economic analysis of energy storage within network constraint groups for increasing the share of variable renewable energy

Ademulegun

Keatley

Hewitt

2021

The Electricity Journal

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“…The study also discusses how tariffs could be adjusted to better align consumer bills with their contribution to network peak. Such cost-reflective tariff is vital for a sustainable electricity grid [20]. To improve efficient price formulation, [21] proposed that each consumer establish a contract-based baseline before joining a demand response program.…”

Section: Introductionmentioning

confidence: 99%

Design, Valuation and Comparison of Demand Response Strategies for Congestion Management

et al. 2020

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Decarbonisation of heat and transport will cause congestion issues in distribution networks. To avoid expensive network investments, demand flexibility is necessary to move loads from peak to off-peak periods. We provide a method and metric for assessing and selecting the optimal demand response strategy for a given network congestion scenario and applied it to a case study network in Coleraine, Northern Ireland. We proposed a Price Approximation/Mean Grouping strategy to deal with the issue of congestions occurring at the lowest-price period in real-time pricing schemes. The Mean Grouping strategy increased the average lowest-price hours from 1.32 to 3.76. We show that a three-cluster tariff is effective in solving medium congestion issues in Northern Ireland and could save consumers an average of £117/year on their heating bill. However, for networks with low headroom suffering from serious congestion issues, a smart control strategy is needed.

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Towards a sustainable electricity grid: Market and policy for demand-side storage and wind resources

Cited by 8 publications

References 22 publications

Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions

Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions

Techno-economic analysis of energy storage within network constraint groups for increasing the share of variable renewable energy

Design, Valuation and Comparison of Demand Response Strategies for Congestion Management

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