2017
DOI: 10.1016/j.apenergy.2017.07.102
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Dynamic pricing for responsive demand to increase distribution network efficiency

Abstract: This paper designs a novel dynamic tariff scheme for demand response by considering networks costs through balancing the trade-off between network investment costs and operation costs. The target is to actively engage customers into network planning and operation for reducing network costs and finally their electricity bills. System operation costs are quantified according to generation or load curtailment by assessing their contribution to network congestion. Plus, network investment cost is quantified throug… Show more

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Cited by 38 publications
(22 citation statements)
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“…A wide range of solutions, including load saturation [12] and price corrective mechanisms [13], has been proposed to facilitate market clearing. Novel pricing mechanisms that account for investment costs [14] and ad-hoc bidding strategies for flexible demand integration [15] have also been evaluated.…”
Section: A Relevant Workmentioning
confidence: 99%
See 1 more Smart Citation
“…A wide range of solutions, including load saturation [12] and price corrective mechanisms [13], has been proposed to facilitate market clearing. Novel pricing mechanisms that account for investment costs [14] and ad-hoc bidding strategies for flexible demand integration [15] have also been evaluated.…”
Section: A Relevant Workmentioning
confidence: 99%
“…As we are considering the equivalent (constant) state variableT rather than I, numerical calculation of V I in (13a) is not necessary. From (14) the optimal feedback control u * on the discretized time/temperature grid is equal to:…”
Section: A Integration Schemesmentioning
confidence: 99%
“…The most effective strategy, change customer's profiles of consumption by real-time wholesale price. The methods include reinforcement learning [3], agent-based modeling [27], network analysis [28] and so on. 73 is a huge potential capacity to use these DSM methods to improve the reliability and efficiency of 75 natural gas supply systems subject to consumption fluctuation.…”
Section: Market Prices Timely Act On Customersmentioning
confidence: 99%
“…Another case study 24 shows the feasibility of VPP in the specific island region for self-power support through DER without taking utility influence. The DR programs are utilized by various case studies to increase distribution network efficiency [25][26][27][28][29][30] and defer the network investment, but they are not considered DER during electrical dispatch. In a study, 31 a techno-economic analysis of DER-installed mid-rise apartment is done with DER-CAM and MATLAB software without accessing the impacts on utility load and reliability parameters.…”
Section: Introductionmentioning
confidence: 99%