scholarly journals Consumer Psychology Based Optimal Portfolio Design for Demand Response Aggregators

2021 ◽  
Vol 9 (2) ◽  
pp. 431-439
Author(s):  
Yunwei Shen ◽  
Yang Li ◽  
Qiwei Zhang ◽  
Fangxing Li ◽  
Zhe Wang
Keyword(s):  
Demand Response ◽  
Consumer Psychology ◽  
Optimal Portfolio ◽  
Portfolio Design

Portfolio Design of a Demand Response Aggregator With Satisficing Consumers

2019 ◽  
Vol 10 (3) ◽  
pp. 2475-2484 ◽  
Author(s):  
Florian Salah ◽  
Rodrigo Henriquez ◽  
George Wenzel ◽  
Daniel E. Olivares ◽  
Matias Negrete-Pincetic ◽  
...  
Keyword(s):  
Demand Response ◽  
Portfolio Design

Participation of Demand Response Aggregators in Electricity Markets: Optimal Portfolio Management

2018 ◽  
Vol 9 (5) ◽  
pp. 4861-4871 ◽  
Author(s):  
Rodrigo Henriquez ◽  
George Wenzel ◽  
Daniel E. Olivares ◽  
Matias Negrete-Pincetic
Keyword(s):  
Portfolio Management ◽  
Demand Response ◽  
Electricity Markets ◽  
Optimal Portfolio

scholarly journals Optimal Portfolio Selection Methodology for a Demand Response Aggregator

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7923
Author(s):  
Pedro Nel Ovalle ◽  
José Vuelvas ◽  
Arturo Fajardo ◽  
Carlos Adrián Correa-Flórez ◽  
Fredy Ruiz
Keyword(s):  
Demand Response ◽  
Optimal Portfolio ◽  
Equilibrium Constraints ◽  
Indirect Control ◽  
Optimal Portfolio Selection ◽  
Upper Level ◽  
Selection Methodology ◽  
Demand Response Programs ◽  
The Impact

This paper presents a methodology for determining the optimal portfolio allocation for a demand response aggregator. The formulation is based on Day-Ahead electricity prices, in which the aggregator coordinates a set of residential consumers that are recruited through contracts. Four types of contracts are analyzed, considering both direct and indirect demand response programs. The objective is to compare different scenarios for contract portfolios in order to establish the benefits of each market agent. An optimization problem is formulated to capture the interactions between the aggregator and end consumers. The model is formulated as a mathematical program with equilibrium constraints: At the upper level, the aggregator maximizes its benefits, whereas the lower level represents the consumers’ contracts. By applying the developed methodology, the characterization of the consumers’ behavior is established in order to forecast their responses to the generation of punctual incentives, both for usual scenarios and peak events, as well as to evaluate the impact that direct and indirect control contracts have on the performance of the aggregator as the energy price varies.

Consumer Psychology and Siblings: Exploring Mutual Interests

1970 ◽  
Author(s):  
Jacob Jacoby ◽  
Robert Perloff ◽  
Lewis C. Winters
Keyword(s):  
Consumer Psychology
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