A comprehensive demand response method based on dynamic energy pricing strategy

Abstract

The invention relates to an integrated demand response method based on a dynamic energy price strategy; an integrated energy system energy management framework composed of multiple integrated energy suppliers, multiple micro-energy network operators and an independent integrated energy system operator is constructed; A distributed gradient projection iterative algorithm is proposed, which realizes the real-time dynamic energy price and the distributed solution of the optimal operation strategy of the supply and demand parties, making up for the fact that the traditional centralized optimization algorithm needs to rely on the complete information of the supply and demand parties and the existing energy optimization method is difficult to consider the supply and demand side The defect of interaction ensures the privacy information security of supply and demand parties, promotes the interaction between supply and demand, and realizes the real-time balance of energy supply and demand; guides comprehensive energy consumption through dynamic electricity prices and natural gas prices, and realizes multi-energy complementarity and alternative energy use.

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 the interaction between supply and demand sides. Most of the existing methods are for the optimal operation of comprehensive energy systems under the condition of known energy prices, and energy users are only passively accepting energy prices. Or, and the energy supply side mostly only considers a single energy supplier, there is still a lack of comprehensive demand response based on real-time dynamic energy prices for energy management of an integrated energy system consisting of multiple integrated energy suppliers and multiple integrated energy consumers method

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