Mapping demand flexibility: A spatio-temporal assessment of flexibility needs, opportunities and response potential

Agbonaye, Osaru; Keatley, Patrick; Huang, Ye; Ademulegun, Oluwasola O.; Hewitt, Neil

doi:10.1016/j.apenergy.2021.117015

Cited by 27 publications

(14 citation statements)

References 43 publications

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“…Among all these meters, almost all meters' measurements could be accessed without any encryption and authentication. As described in Section 4.1, attackers could derive the DR and load forecast models from these measurements [63,64]. After further investigation (including traffic monitoring, firmware analysis etc.…”

Section: Feasibility Analysis On Smart Meter Testbedmentioning

confidence: 99%

Real‐time pricing response attack in smart grid

Liu

Tian

Yuan

et al. 2022

IET Generation Trans & Dist

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Real-time pricing is an attractive tariff for demand response programs, in which consumers could provide load flexibility by adjusting their electricity consumption in response to timevarying electricity prices. This paper reveals a new threat called real-time pricing response attack (RPRA), which manipulates consumers' electricity consumption by tampering with electricity price signals. Simulations are performed in IEEE 24-bus, 39-bus, and 118-bus systems, and the results show that 8% to 28% of the transmission lines could be overloaded by the attack, which could cause serious security problems. Results of sensitivity analysis indicate that the attack effects are influenced by various factors, such as DR models, price elasticity, line capacities etc. To defend against the RPRA attack, we have proposed various detection and mitigation strategies.

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Section: Feasibility Analysis On Smart Meter Testbedmentioning

confidence: 99%

Real‐time pricing response attack in smart grid

Liu

Tian

Yuan

et al. 2022

IET Generation Trans & Dist

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“…The proposed flexibility assessment methodology, (1)(2)(3)(4)(5)(6), is integrated into a two-stage flexibility constrained scheduling framework with a 15-minute temporal DA -Security Constrained Unit commitment (DA-SCUC) and a 5-minute temporal Stochastic RT -Security Constrained Economic Dispatch (RT-SCED). Flexibility enhancement options like Battery Energy Storage Systems (BESS), Pumped Hydro Energy Storage (PHES), interruptible and shiftable load type DR are considered along with CG units.…”

Section: Multi-interval Stochastic Sced Frameworkmentioning

confidence: 99%

“…Although Conventional Generation (CG) units are providing flexibility in current scenario, transformation of energy systems towards the one dominated by RES requires flexibility to be harnessed from all aspects of power systems. System operations, Demand Response (DR), grid infrastructure upgradation, and integrating fast-start resources, Energy Storage Systems (ESS) and sector coupling can enhance flexibility [2,3]. However, having sufficient flexible resources may not ensure their availability when required.…”

Section: Introductionmentioning

confidence: 99%

A stochastic multi-interval scheduling framework to quantify operational flexibility in low carbon power systems

Yamujala

Kushwaha²,

Jain

et al. 2021

Applied Energy

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“…Authors in [13] observe that locational temporal flexibility mapping is crucial for avoiding future network issues. They propose a mapping tool for Northern Ireland.…”

Section: Introductionmentioning

confidence: 99%

Perspectives on Distribution Network Flexible and Curtailable Resource Activation and Needs Assessment

Hashmi

Koirala

Ergun

et al. 2023

IEEE Trans. on Ind. Applicat.

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A curtailable and flexible resource activation framework is proposed for solving distribution network (DN) voltage and thermal congestions. This framework utilizes network state in absence of such flexible or curtailable resources as an input for calculating flexibility activation signal (FAS). FAS design is motivated by volt-Var and volt-watt inverter control. The FAS has some similarities with optimal power flow duals, also referred to as locational marginal prices.These dual variables are active in case of network violations. FAS due to drooping design, corrects prior to any network limit violations. The nonlinear resource dispatch optimal power flow (RDOPF) is convexified using second-order cone (SOC) relaxations. Three case studies are performed, which are compared using performance indices proposed in this work. The first case study highlights the multi-objective nature of SOC relaxed RDOPF and provides a Pareto front tuning mechanism for reducing DN losses while also reducing the optimality gap of the SOC relaxed problem with respect to RDOPF. The second case study presents a methodology for evaluating temporal and locational flexibility needs assessment of a DN, which DSO's can utilize for flexibility planning. The last case study quantifies the impact of reactive power flexibility for a DN with varying load power factor. We observe that active power flexibility needs can be reduced by up to 50% for DN with power factor of 0.8.

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Mapping demand flexibility: A spatio-temporal assessment of flexibility needs, opportunities and response potential

Cited by 27 publications

References 43 publications

Real‐time pricing response attack in smart grid

Real‐time pricing response attack in smart grid

A stochastic multi-interval scheduling framework to quantify operational flexibility in low carbon power systems

Perspectives on Distribution Network Flexible and Curtailable Resource Activation and Needs Assessment

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