Comprehensive demand response method based on dynamic energy price strategy

Abstract

The invention relates to a comprehensive demand response method based on a dynamic energy price strategy. An integrated energy system energy management framework composed of a plurality of integratedenergy suppliers, a plurality of micro energy network operators and an independent integrated energy system operator is constructed; a distributed gradient projection iterative algorithm is provided;real-time dynamic energy price and distributed solution of optimized operation strategies of supply and demand parties are realized; the defects that a traditional centralized optimization algorithm needs to depend on complete information of supply and demand parties and supply and demand side interaction is difficult to consider in an existing energy optimization method are overcome, the privacyinformation security of the supply and demand parties is ensured, supply and demand interaction is promoted, and real-time balance of energy supply and demand is achieved. Comprehensive energy consumption is guided through the dynamic electricity price and the natural gas price, and multi-energy complementation and alternative energy consumption are achieved.

Description

technical field [0001] The invention relates to a comprehensive demand response method based on a dynamic energy price strategy, and belongs to the technical field of energy management of comprehensive energy systems. Background technique [0002] The coupling of multiple energy sources enables comprehensive energy consumers not only to participate in demand response projects through load shifting or reduction, but also to participate in demand response projects in the form of alternative energy use and multi-energy complementarity by changing the type of energy consumption. In this context, traditional electricity demand response has evolved into a comprehensive demand response that considers alternative energy use and multi-energy complementarity. [0003] With the deep integration of multiple energy systems, building a decentralized regional multi-energy trading market to realize local trading of multiple energy sources is an important means for the future energy system t...

AI Technical Summary

Problems solved by technology

[0005] In short, at present, in terms of energy optimization management of integrated energy systems, centralized optimization algorithms are mostly used to solve the optimal operation plan and scheduling strategy of the system. This kind of thinking needs to know complete information such as the equipment and demand preferences of the participants on the supply and demand side, which is not conducive to protecting supply and demand. The privacy and security of all parties; some scheduling strategies using distributed optimization algorithms also seldom consider t

Images