Weak robustness optimized dispatching method for micro energy network

Abstract

The invention provides a weak robustness optimized dispatching method for a micro energy network. The method comprises the following steps that: obtaining the architecture information, the energy price, the decision information, the user power and the renewable energy source output information of the micro energy network; according to the architecture information of the micro energy network, establishing the energy conversion and power balance model of the micro energy network; according to the energy price, the decision information and the energy conversion and power balance model of the of the micro energy network, establishing the weak robustness optimized dispatching model of the micro energy network; according to a peer-to-peer conversion theory, converting uncertainty constraints inthe weak robustness optimized dispatching model into certainty constraints; and according an optimal solution solved by GAMS (General Algebraic Modeling System) software, carrying out micro energy network dispatching. By use of the method, the problem of safe operation of the micro energy network under uncertainty parameters including user power, renewable energy source output and the like can besolved, dispatching economical efficiency and risks can be effectively balanced, the conservative property of traditional robustness optimized dispatching is improved, and a dispatching scheme which adapts to a practical situation can be more favorably provided.

Description

technical field [0001] The invention relates to optimal scheduling of micro-energy networks, in particular to a method for weakly robust optimal scheduling of micro-energy networks. Background technique [0002] Micro-energy grid is a micro-integrated energy system. As an important part of the Energy Internet, it is one of the main forms of carrying energy for human society in the future. At present, the optimal scheduling of micro-energy grids does not take into account the uncertainty of user power and renewable energy output, which will threaten the safe operation of micro-energy grids. [0003] In recent years, robust optimization has been widely used in the operation and scheduling of power systems in uncertain environments. However, traditional robust optimization methods focus on the feasibility of solving uncertain parameters in the worst scenario, and the obtained scheduling scheme is highly conservative. [0004] In view of the above problems, the present inventi...

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Problems solved by technology

However, the traditional robust optimization method focuses on the feasibility of solving uncertain parameters in the worst scenario, and the obtained scheduling scheme is highly conservative.

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