Deposit Mechanism Design and Corresponding Decision Strategy considering Uncertainty of Customer Behaviour

Qingshan Xu, Mengjia Liu, Yu Huang, Hong Sun and Xinjia Li

Mathematical Problems in Engineering, 2018, vol. 2018, 1-14

Abstract:

Demand response (DR) has received great concern since the significant growth in electricity consumption and peak-valley difference were witnessed recently. Based on the theory of customer psychology, an uncertainty model of customer behaviour is proposed. By converting electric power to deposit points, a novel deposit mechanism is designed in this paper, which can better deal with the special situations in China. Compared with traditional mechanism, the proposed deposit mechanism is capable of improving acceptability of DR methods in China and achieving greater mobilization of customer motivation for its more understandable rules and higher participation compensations. Furthermore, a decision strategy considering benefits of both the power company and the subscribed customers is proposed based on the uncertainty model of customer behaviour and the proposed deposit mechanism, which aims at achieving win-win situations and greater mobilization of customer motivation. The uncertainties in decision strategy are quantified by the uniform design sampling (UDS) method which is more efficient and computationally accurate than traditional Monte Carlo simulation. With the electricity data of Nanjing City, China, the superiority of proposed deposit mechanism and decision strategy are verified by numerical simulations.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:4271324

DOI: 10.1155/2018/4271324

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