Journal ArticleDOI
Optimal demand-side response to electricity spot prices for storage-type customers
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An overview of a fast, optimal, nonsimplex algorithm applicable to single storage electricity consuming processes and a case study involving an air compression company demonstrates the application of the algorithm and shows the economic effects of industrial customer response to the spot pricing of electricity.Abstract:
The customer response to spot prices is discussed. The factors that allow flexible customer response without service curtailments are identified. An overview of a fast, optimal, nonsimplex algorithm applicable to single storage electricity consuming processes is presented. A case study involving an air compression company demonstrates the application of the algorithm and shows the economic effects of industrial customer response to the spot pricing of electricity. >read more
Citations
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Journal ArticleDOI
A state-queueing model of thermostatically controlled appliances
Ning Lu,David P. Chassin +1 more
TL;DR: In this article, the authors developed a state-queueing model to analyze the price response of aggregated loads consisting of thermostatically controlled appliances (TCAs), and they showed that TCA setpoint changes in response to the market price will result in a redistribution of TCAs in on/off states and therefore change the probabilities for a unit to reside in each state.
Proceedings ArticleDOI
Scheduling smart home appliances using mixed integer linear programming
TL;DR: This paper considers the minimum electricity cost scheduling problem of smart home appliances, and the optimal power profile signal minimizes cost, while satisfying technical operation constraints and consumer preferences.
Journal ArticleDOI
Residential Load Control: Distributed Scheduling and Convergence With Lost AMI Messages
TL;DR: The algorithm finds near-optimal schedules even when AMI messages are lost, which can happen in the presence of malfunctions or noise in the communications network.
Journal ArticleDOI
Active Demand Response Using Shared Energy Storage for Household Energy Management
TL;DR: A novel methodology for home area energy management as a key vehicle for demand response, using electricity storage devices, is developed to enable energy storage at consumer premises to not only take advantage of lower wholesale energy prices, but also to support low voltage distribution networks for reducing network investment.
Journal ArticleDOI
A Stochastic Programming Approach to Electric Energy Procurement for Large Consumers
TL;DR: In this paper, a technique based on stochastic programming is proposed to optimally solve the electricity procurement problem faced by a large consumer, where risk aversion is explicitly modeled using the conditional value-at-risk methodology.
References
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Book
Spot Pricing of Electricity
TL;DR: In this paper, the authors present a method to find the most relevant information from Bibliogr. : p. 255-266. Index Reference Record created on 2004-09-07, modified on 2016-08-08
Journal ArticleDOI
Optimal Spot Pricing: Practice and Theory
TL;DR: In this paper, a new concept of electricity pricing referred to as "spot pricing" is presented and a set of rates related to optimal spot prices are proposed and their applicability is discussed in view of different customer characteristics, metering, and communication costs.
Journal ArticleDOI
Algorithms for a spot price responding residential load controller
TL;DR: In this paper, the authors present the functions to be fulfilled by such a price-responsive device and describe the end-user devices available in residences and the control logics applicable to each.
Dissertation
Spot pricing of public utility services
TL;DR: Schmalensee et al. as discussed by the authors analyzed how public utility prices should be changed over time and space, and showed that the optimal timing and mix of recalculations and predetermined changes depend on: the transactions costs of each type of change; the stochastic and deterministic rates of change of full spot prices; and the ability of customers and suppliers to change behavior in response to different price patterns.