A regional comprehensive energy system planning optimization method based on double-layer optimization

Abstract

The invention discloses a regional integrated energy system planning optimization method based on double-layer optimization, and the method comprises the following steps: S1, selecting a plurality ofgroups of capacity schemes to carry out the capacity optimization of a regional integrated energy system, and finding out a plurality of groups of capacity optimization configuration schemes of the regional integrated energy system; S2, performing optimization operation on the plurality of groups of capacity optimization configuration schemes planned in the step S1 to obtain a plurality of groupsof operation output results of the regional integrated energy system, and then solving an optimization operation problem of the system by utilizing mixed integer linear programming (MILP); S3, carrying out capacity selection, and comparing multiple groups of operation output results in the step S2 with load requirements to obtain the load supply reliability of each group of planning schemes; S4, feeding the obtained reliability back to the capacity optimization planning in the step S1, reselecting and optimizing the capacity optimization of the regional integrated energy system, and repeatingthe steps S1 to S1; and S3, selecting a capacity planning scheme with the strongest power supply reliability.

Description

technical field [0001] The invention relates to the technical field of energy comprehensive utilization, in particular to a method for planning and optimizing regional comprehensive energy systems based on double-layer optimization. Background technique [0002] With the development of intelligent power distribution and energy Internet technology, multi-party interaction involving the complementary characteristics of multi-energy demand has become an effective way to solve the problems of low energy system efficiency and power shortage. Regional Integrated Energy System (RIES) is a new way of energy supply, which uses advanced energy conversion and transmission technology to convert solar energy, wind energy, geothermal energy, natural gas (NG), biomass and other resources into what consumers need Cold, heat, electricity and other energy, so as to improve people's comprehensive utilization of energy and the flexibility, safety, economy and self-healing ability of the energy ...

AI Technical Summary

Problems solved by technology

However, the existing system capacity planning research is not very deep, mainly aimed at the lowest economic cost of microgrid and distributed power supply capacity planning, lack of effective verification of planning rationality, and cannot guarantee the credibility of planning results

In addition, as a new energy supply mode, the RIES capacity planning problem has always attracted much attention, but has not been well resolved.

These studies have achieved remarkable results in the two-stage planning, but lack of verification of the planning, and did not use the operating results of the second stage to check the planning effect of the first stage to ensure the accuracy of the planning

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