Two Market Models for Demand Response in Power Networks

By Lijun Chen, Na Li, Steven H. Low, John C. Doyle. 2010 First IEEE International Conference on Smart Grid Communications, 2010

308 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/29e037d9672cc11e11fe87dc8de021c01309aad4

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In Electrical and Electronic Engineering

Citations in the corpus

A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches (2015, background): “The work in [71] investigates the demand response games in two market models for smart grids: 1) competitive; and 2) oligopolistic markets.”
From Demand Response in Smart Grid Toward Integrated Demand Response in Smart Energy Hub (2016, methodology): “The objective of the electricity utility company is to maximize its profit [15].”
Game-Theoretic Methods for the Smart Grid: An Overview of Microgrid Systems, Demand-Side Management, and Smart Grid Communications (2012, unknown): “For instance, the work in [26] studies t wo market models suitable for matching the supply and shaping the demand in a smart grid system.”
Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach (2014, methodology): “Specifically, the utility function of the residential user is the utility for the tasks rather than the utility for the appliances.”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “Similarly, the target of the proposed market models in [217] is the maximization of the social welfare, as well as the matching of supply with demand in competitive and oligopolistic markets.”
Smart Grid — The New and Improved Power Grid: A Survey (2012, unknown): “[40] characterized the resulting equilibria in competitive as well as oligopol istic markets, and proposed distributed demand response algorit hms to achieve the equilibria.”
Demand Response Management via Real-Time Electricity Price Control in Smart Grids (2013, background): “Specifically, each parameter aui,h is chosen from the uniform distribution on [10, 20], and each parameter bui,h is chosen from the uniform distribution on [2, 5].”
Robust Energy Management for Microgrids With High-Penetration Renewables (2012, background): “The utility function of thenth dispatchable load, U t Dn(P t Dn ), is selected to be increasing and concave, with typical choices being piecewise linear or smooth quadratic; see also [12].”