Multi-target probability optimal power flow calculation method and device based on demand response

Abstract

The invention provides a multi-target probability optimal power flow calculation method based on demand response, which comprises the following steps: based on a determined power system network topology, considering the uncertainty and correlation of random variables, and establishing a multi-target probability optimal power flow model taking fuel cost and carbon tax cost as targets; for any node,using a quasi-Monte Carlo simulation method to solve the multi-target probability optimal power flow model so as to obtain the node comprehensive electricity price before the demand response; substituting the node comprehensive electricity price before the demand response into the constructed demand response model to obtain a node load after the demand response; and substituting the node load into the multi-target probability optimal power flow model, and performing conventional optimal power flow calculation on each load sample to obtain a node comprehensive electricity price after the demand response. According to the method, the multi-target probability optimal power flow model is combined with the demand response model, and the problem that large-scale new energy grid connection andload fluctuation are not easy to track only through a conventional method of adjusting the output of the generator is solved.

Description

technical field [0001] The invention relates to the field of smart grids, in particular to a demand response-based multi-objective probabilistic optimal power flow calculation method and device. Background technique [0002] Although the probabilistic optimal power flow calculation (POPF) can take into account the economy, security, uncertainty and correlation in the operation of the power system, it does not consider multiple optimization objectives and user-side demand response to participate in the grid dispatching operation. Due to large-scale new energy grid connection and load fluctuations, it is difficult to meet the requirements of modern power grid dispatching operation only by conventional methods of adjusting generator output to track these uncertain variables. Demand-side response refers to the response made by users according to the incentive mechanism given by the power department or the current electricity price information, changing or optimizing their inhere...

AI Technical Summary

Problems solved by technology

[0002] Although the probabilistic optimal power flow calculation (POPF) can take into account the economy, security, uncertainty and correlation in the operation of the power system, it does not consider multiple optimization objectives and the participation of user-side demand response in power grid dispatching operation.

Due to large-scale new energy grid connection and load fluctuations, it is difficult to meet the requirements of modern power grid dispatching operation only by conventional methods of adjusting generator output to track these uncertain variables

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