Multi-energy complementary rural micro energy network capacity optimization configuration method and device

Abstract

The invention provides a multi-energy complementary rural micro energy network capacity optimization configuration method and device. The method comprises steps: S1, according to a wind-solar-gas-cold-heat-storage energy supply model of the multi-energy complementary rural micro energy network and in combination of the time shifting property of a load capable of time shifting, an objective function and a constraint condition for capacity optimization configuration in the multi-energy complementary rural micro energy network are determined; and S2, in combination of the constraint condition, the objective function is solved by a grey wolf optimization algorithm based on an improved dynamic adjustment convergence factor and an inertia weight, and the capacity optimization configuration result of each micro source in the multi-energy complementary rural micro energy network is acquired. In combination of the actual situation in the western countryside, on the basis of considering the load-side response and the power supply reliability, an optimization configuration model with the lowest annular investment cost is built, the optimization configuration problem is solved by the grey wolfoptimization algorithm based on the dynamic adjustment convergence factor and the inertia weight, and rural micro energy network capacity optimization configuration is realized.

Description

technical field [0001] The present invention relates to the field of micro-energy network planning, and more specifically relates to a multi-energy complementary rural micro-energy network capacity optimization configuration method and device. Background technique [0002] With the emergence of global energy shortage and environmental pollution, the comprehensive utilization of electricity, gas, cold and heat has become a new research hotspot. The micro-energy network is composed of a power network, a cold and heat energy network, and a gas network, and is a carrier for the comprehensive utilization of various energy sources. Especially in remote rural areas in western China, where the infrastructure is weak, micro-energy grids can avoid power loss and construction costs caused by long-distance power transmission, which has huge technical advantages and broad application prospects. [0003] However, due to the randomness, volatility, and time complementarity of renewable re...

AI Technical Summary

Problems solved by technology

Some existing technologies only focus on the power network as the center for capacity optimization configuration, without considering the capacity configuration problem of the micro-energy network composed of cold-heat-electric-gas multiple energy sources, and at the same time, the impact of load-side response on system optimal configuration is not considered

Some use a deterministic algorithm to solve the capacity allocation problem. When the calculation amount is large, the calculation time is too long, and it is easy to fall into a local optimum, and the final solution may not be obtained.

Moreover, the capacity configuration of the micro-energy grid needs to be designed in combination with the natural conditions and requirements of the project, and cannot be generalized. At present, there is no relevant research on the optimal configuration of the micro-energy grid for rural areas.

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