Energy community energy management-oriented distributed optimization scheduling method for production and consumer of distribution network

Abstract

The invention relates to an energy community energy management-oriented distributed optimization scheduling method for production and consumer of a distribution network. The method is characterized by comprising the following contents: energy community scheduling strategy modeling, and distributed scheduling model and solution based on ADMM, wherein the energy community scheduling strategy modeling brings system operation conditions such as power flow, safety and the like and a market operation mechanism into the energy community scheduling strategy modeling, and an energy community day-ahead optimization scheduling model is constructed by considering economy and safety; according to the distributed scheduling model and solution based on the ADMM, the graph theory is adopted to carry out refined modeling on energy and community distribution network topology, the flexibility of a local system is fully scheduled, meanwhile, whole network connection is achieved through topological association, the independent and interconnected operation requirements of a power grid are met, the problem of solving a large-scale production and consumer optimization scheduling strategy can be effectively solved, and the method has the advantages of being scientific, reasonable, high in applicability, good in effect and the like.

Description

technical field [0001] The invention relates to the technical field of energy allocation, and relates to a distribution network prosumer distributed optimal scheduling method for energy management in energy communities. Background technique [0002] With the rapid development of distributed power generation technology, prosumers with both power production and consumption capabilities will participate in market operations as new stakeholders. Flexible and controllable prosumers have social, economic and environmental benefits. However, prosumers are usually distributed at the bottom of the system structure, and are mainly self-produced and self-consumed. They have insufficient motivation to respond to market electricity price information; their flexible resources are small and scattered, and it is difficult to reach the threshold of participating in the electricity market. At the same time, a large number of distributed power sources, energy storage devices, and demand-side ...

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Problems solved by technology

At the same time, sequential iteration is difficult to achieve parallelization of distributed scheduling, or although parallelization can be achieved, there are problems such as strict requirements on the model and difficulty in setting algorithm parameters, which lead to a small range of application of the algorithm, lack of scalability, and reduce the distributed scheduling. The advantage of algorithmic solution has not yet seen the bibliographical reports and practical application relevant to the subject of the present invention

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