Hybrid energy multi-objective robust optimization method for large-scale intermittent energy access

Abstract

The present invention provides a large-scale intermittent energy access mixed energy multi-target robust optimization method, belonging to the electric power system automation technical field. Aiming at the nondeterminacy problem of the intermittent energy generation, the concept of the uncertain cost is introduced, the economy, the environmental protection and the nondeterminacy of the electric power system are taken as a target, and the nondeterminacy robust optimization theory is combined to provide a large-scale multi-energy and multi-target robust optimization model. The large-scale system decomposition coordination optimization theory is employed to decompose a link optimization model into a plurality of subsystem multi-target optimization models and perform grade division of the risk degree possibly caused by each uncertainty scheme set, and the scheme with the lowest risk degree is selected as an optimal scheme so as to obtain the optimal solution of each subsystem or a Pareto scheme set; the optimal scheme of each subsystem or the scheme set are fused in the optimal Pareto solution set of the whole system to provide an improved decision support for decision makers.

Description

Technical field [0001] The invention discloses a hybrid energy multi-objective robust optimization method for large-scale intermittent energy access, and belongs to the technical field of power system automation. Background technique [0002] Due to the integration of large-scale wind power, photovoltaic and other intermittent energy sources, the uncertainty of the intermittent energy generation process has an increasing impact on the operational reliability of the grid system. Traditional optimization algorithms based on deterministic factors do not fully consider the uncertainty of intermittent energy generation and cannot meet the actual needs of power system operation; while traditional stochastic optimization methods have problems such as difficulty in obtaining accurate probability density functions. Summary of the invention [0003] The purpose of the present invention is to provide a hybrid energy multi-objective robust optimization method for large-scale intermittent ener...

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Problems solved by technology

[0003] The purpose of the present invention is to address the shortcomings of the above-mentioned background technology, to provide a mixed energy multi-objective robust optimization method for large-scale intermittent energy access, to realize the multi-energy optimal configuration under the environment of large-scale intermittent energy access, and to solve the problem of Solved the technical problems of multi-energy joint optimization in uncertain environment

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