Micro-energy network state transition space modeling method based on hybrid automaton

Abstract

The invention discloses a micro-energy network state transition space modeling method based on a hybrid automaton. The method specifically comprises the following steps: (1) dividing a micro-energy network into an energy production unit, an energy transmission unit, an energy conversion unit, an energy storage unit and an energy consumption unit according to the structure of the micro-energy network; (2) respectively describing the operation states of the energy unit and the micro energy grid system; (3) establishing a state transition model of the energy unit based on the hybrid automaton; and (4) establishing a state transition model of the micro energy network system based on the hybrid automaton. According to the method, the operation state, the transfer condition and the transfer process of each energy unit of the micro-energy network can be accurately described, and staged management and optimization control of all the energy units of the micro-energy network in the whole process from starting, operation to stopping are facilitated.

Description

technical field [0001] The invention belongs to the field of micro-energy network modeling, in particular to a hybrid automata-based micro-energy network state transition space modeling method. Background technique [0002] As an extension of the micro-grid, the micro-energy network integrates the functions of interconnection, interaction, coupling and transformation of multiple energy sources (cold, heat, electricity, gas). Improve the comprehensive utilization efficiency of energy, enhance the reliability of power supply for users, and reduce environmental pollution. As an important form of distributed renewable energy utilization, micro energy network is an important part of the new power system with new energy as the main body in the future. [0003] Domestic and foreign researches on micro-energy grids mainly focus on modeling, planning and design, optimal operation strategies, and demand-side response, among which modeling is the basis for micro-energy grid planning, ...

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Problems solved by technology

[0006] Aiming at the problem mentioned in the above background about the micro-energy network modeling that it is impossible to accurately describe the phase-by-stage transfer conditions and the transfer process of the internal state of the micro-energy network, this invention takes the micro-energy network as the research object and proposes a method based on Hybrid Automata State Transition Space Modeling Method for Micro Energy Networks

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