Incentive Mechanism Research On Interruptible Load Management

This dissertation is based on demand response theory, mainly research in the incentive mechanism of interruptible load management (ILM), a typical demand response, including: implementation scheme design on ILM, interruptible customers' credit risk evaluation, the incentive compatible contract and ancillary service market optimization introduing interruptible load as follows:First, make an optimization analysis of power market introduing demand response. Illustrate the applications and effects of demand response in power market by load response and price response respectively. And a price combation mechanism is showed to deal with the different load demand situation. Then, the price response to customers is caculated by sensitivity analysis.Second, set a permitting threshold of ILM. To achieve the obvious effect of curtail the peak load, the minimum interruptible capacity is set to threshold customers' participations in ILM, and make a type classification based on power supply quantity and reliability. Moreover, idiographic flow of ILM is provided in the dissertation to make benefit analysis on load response and price response respectively.Third, evaluate the credit risk of interruptible customers. Considering that customers who will join the ILM have the probality of default risk, a risk evaluation is necessary by establishing a credit risk index system in which the weights is caculated by Fuzzy AHP. At last, Fuzzy Comprehensive Evaluation is used to select the proper customers which are fit for the ILM.Moreover, based on principal-agent theory, an incentive compatible contract is designed to encourage the customer to join the contract actively. Only when the customer chooses his real type can he obtains the maximum interruptible benefit.At last, an optimal capacity distribution model is established in ancillary service market introduing interruptible load. Indifference curves and marginal rate of substitution are used in the model, to attain the utility maximization under the situation of fixed purchased cost.