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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Deposit Mechanism Design and Corresponding Decision Strategy considering Uncertainty of Customer Behaviour
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Deposit Mechanism Design and Corresponding Decision Strategy considering Uncertainty of Customer Behaviour

机译:考虑客户行为不确定性的存款机制设计及相应决策策略

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摘要

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.
机译:由于最近见证了用电量的显着增长和峰谷差异,因此需求响应(DR)引起了人们的极大关注。基于顾客心理学理论,提出了顾客行为的不确定性模型。通过将电能转换为存款点,设计了一种新颖的存款机制,可以更好地应对中国的特殊情况。与传统机制相比,所提出的存款机制能够以更易于理解的规则和更高的参与报酬来提高中国存托凭证方式的可接受性,并能更好地动员客户动机。此外,基于客户行为的不确定性模型和提出的存款机制,提出了一种兼顾电力公司和认购客户双方利益的决策策略,旨在实现双赢局面和更大程度地动员客户动力。决策策略中的不确定性通过统一设计抽样(UDS)方法进行量化,该方法比传统的蒙特卡洛模拟方法更有效且计算准确。利用中国南京市的电力数据,通过数值模拟验证了提出的存款机制和决策策略的优越性。

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