Thermoelectric comprehensive demand response optimization method considering multiple influence factors

Abstract

The invention relates to a thermoelectric comprehensive demand response multi-objective optimization method considering multiple influence factors, and the method comprises the steps: introducing a load aggregator, and dividing residential users into several types of residential users with different energy consumption habits; determining influence factors influencing the participation of the resident users in the comprehensive demand response; classifying the energy consumption loads of the resident users participating in the comprehensive demand response; according to the determined influence factors and the energy consumption load classification, aiming at each type of residential users, respectively establishing a multi-objective optimization mathematical model in which the residential users participate in the comprehensive demand response; and solving the multi-objective optimization mathematical model to obtain an optimal reward mechanism for maximizing the benefits of the load aggregator and the resident user, including the allowable scheduling load capacity of each type of energy consumption load of the resident user and the unit price for correspondingly obtaining the reward. Compared with the prior art, the method has the advantages that adjustable and controllable resources are fully excavated, and the user can be helped to change the energy consumption mode, reduce the energy consumption and save the energy consumption cost on the premise of not influencing the comfort of the resident user.

Description

technical field [0001] The invention relates to the technical field of energy optimization, in particular to a thermoelectric comprehensive demand response optimization method considering multiple influencing factors. Background technique [0002] With the proposal of the "dual carbon" policy, people pay more and more attention to renewable energy. Due to the inherent intermittent and uncertain characteristics of renewable energy, a high proportion of renewable energy will affect the energy system. Safety and stability of operation. In order to solve this problem, from the perspective of the supply side, most of the research has been done at home and abroad on the uncertainty modeling of renewable energy, the modeling of production equipment and the coupling modeling between the two. With the upgrading of energy systems and energy technologies, in the supply and demand system, the demand side gradually occupies a dominant position. As a result, the concept of demand respons...

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Problems solved by technology

[0003] Most of the mechanism research on improving demand response capability is divided into price-based demand response and incentive-based demand response, and price-based demand response is divided into time-of-use electricity price mechanism and real-time electricity price mechanism. Spontaneously carry out load reduction and load transfer, but for price-based demand response, there are characteristics such as insufficient response capacity or unstable response, and greater randomness and uncertainty. In comparison, incentive-based demand response is more dispatchable The enthusiasm of users to participate, but in the existing research on demand response, most of them consider a single influencing factor or conduct demand response to a single electric load or heat load, and the research on the mechanism of electric and thermal comprehensive demand response is still in the development stage

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