Journal ArticleDOI
Optimal demand-side response to electricity spot prices for storage-type customers
TLDR
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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Proceedings ArticleDOI
Identification of consumers' price responses in the dynamic pricing of electricity
TL;DR: In this article, the authors considered the modeling of residential consumers' price responses in the dynamic pricing of electricity, where the consumers' behavior was described by a utility function indicating the benefit of different daily electricity consumption patterns.
Proceedings ArticleDOI
Integrating Energy Storage in Electricity Distribution Networks
Aditya Mishra,Ramesh K. Sitaraman,David Irwin,Ting Zhu,Prashant Shenoy,Bhavana Dalvi,Stephen Lee +6 more
TL;DR: An optimization framework for modeling the primary characteristics that dictate the lifetime cost of many prominent energy storage technologies is presented and it is shown that by employing hybrid storage technologies at multiple levels of the distribution hierarchy, utilities can reduce their daily operating costs due to distributing electricity by up to 12%.
Journal ArticleDOI
Multi-objective based economic operation and environmental performance of PV-based large industrial consumer
Roshanak Rezaeipour,Ahmad Zahedi +1 more
TL;DR: A multi-objective model to optimize economic operation and environmental performance of a large consumer in the presence of DRP is proposed and pareto front set is achieved through solving the model by e-constraint method and the best solution amid the obtained solutions is selected by max-min fuzzy satisfying technique.
Journal ArticleDOI
Heating hub and power hub models for optimal performance of an industrial consumer
TL;DR: In this article, a multi-objective framework has been proposed for environmental and economic performance of large consumer in the presence of demand response program (DRP) in order to solve proposed multiobjective model, weighted sum technique is employed and trade-off solution satisfying conflicting objective functions is selected using fuzzy satisfying approach.
Journal ArticleDOI
Demand Response Operation of Electricity-Intensive Chemical Processes for Reduced Greenhouse Gas Emissions: Application to an Air Separation Unit
TL;DR: In this article, the authors proposed a new production scheduling formulation, emissionsminimizing production (EMP), which utilizes time-based information on the nature of the power generation mix to lower GHG emissions related to the transmission and generation of electricity for industrial users.
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.