Comprehensive energy system robust planning method and system

Abstract

The invention discloses a comprehensive energy system robust planning method and system, and the method comprises the following steps: S100, obtaining load demand data, equipment types and equipment model data based on the land area and function demand information of a comprehensive energy system planning region; S200, based on the data obtained in the step S100, eliminating the influence of loaduncertainty through a pre-constructed comprehensive energy system robust planning model, and planning a comprehensive energy system; and S300, obtaining the specific model and capacity configuration of the equipment in the comprehensive energy system planning area. The actual architecture of the comprehensive energy system is reasonably represented based on the improved energy concentrator model,and the comprehensive energy system robust planning model embedded with the economic operation strategy is constructed by further considering the uncertainty of the load. According to the invention, the utilization efficiency of urban comprehensive energy is improved, the construction cost and the energy supply cost of an urban comprehensive energy system are reduced, and the reasonable development of urban energy internet structure construction and planning technologies is promoted.

Description

technical field [0001] The invention relates to the technical field of energy management, in particular to a robust planning method and system for an integrated energy system. Background technique [0002] Energy is the basis for the survival and development of human beings. The end-use forms of energy are mainly electricity, gas, heat, cold and other forms. Due to the non-renewability of traditional fossil energy and the increasingly severe environmental protection problems, how to improve energy utilization efficiency has become a important issues to be resolved. The related research on the comprehensive energy system adopting the concept of multi-energy complementary integrated optimization has greatly improved the efficiency of energy utilization through the multi-level stepped utilization of energy. Such a complementary integrated system that breaks the separate planning and operation of the original energy subsystems is one of the future development directions of the ...

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Problems solved by technology

However, the current research has the following problems: first, the optimal solution of the original problem is not the real solution of the actual problem due to ignoring the uncertainty of the load; second, some studies often use black Boxed uncertain sets lead to the problem of being prone to overconservatism, further reducing the economics

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