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Energies 2016, 9(2), 80; doi:10.3390/en9020080

Multi-Objective Demand Response Model Considering the Probabilistic Characteristic of Price Elastic Load

1
School of Electrical & Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
2
China Electric Power Research Institute-Nanjing Branch, Nanjing 210003, Jiangsu, China
*
Author to whom correspondence should be addressed.
Academic Editor: Ying-Yi Hong
Received: 30 November 2015 / Revised: 4 January 2016 / Accepted: 18 January 2016 / Published: 27 January 2016
(This article belongs to the Special Issue Electric Power Systems Research)
View Full-Text   |   Download PDF [1109 KB, uploaded 28 January 2016]   |  

Abstract

Demand response (DR) programs provide an effective approach for dealing with the challenge of wind power output fluctuations. Given that uncertain DR, such as price elastic load (PEL), plays an important role, the uncertainty of demand response behavior must be studied. In this paper, a multi-objective stochastic optimization problem of PEL is proposed on the basis of the analysis of the relationship between price elasticity and probabilistic characteristic, which is about stochastic demand models for consumer loads. The analysis aims to improve the capability of accommodating wind output uncertainty. In our approach, the relationship between the amount of demand response and interaction efficiency is developed by actively participating in power grid interaction. The probabilistic representation and uncertainty range of the PEL demand response amount are formulated differently compared with those of previous research. Based on the aforementioned findings, a stochastic optimization model with the combined uncertainties from the wind power output and the demand response scenario is proposed. The proposed model analyzes the demand response behavior of PEL by maximizing the electricity consumption satisfaction and interaction benefit satisfaction of PEL. Finally, a case simulation on the provincial power grid with a 151-bus system verifies the effectiveness and feasibility of the proposed mechanism and models. View Full-Text
Keywords: price elastic load (PEL); demand response; uncertainty; electricity consumption satisfaction (ECS); interaction benefit satisfaction (IBS); stochastic optimization price elastic load (PEL); demand response; uncertainty; electricity consumption satisfaction (ECS); interaction benefit satisfaction (IBS); stochastic optimization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Yang, S.; Zeng, D.; Ding, H.; Yao, J.; Wang, K.; Li, Y. Multi-Objective Demand Response Model Considering the Probabilistic Characteristic of Price Elastic Load. Energies 2016, 9, 80.

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