Distributed Optimal Scheduling Method for Distribution Network Prosumers Oriented to Energy Management in Energy Community

Abstract

The invention relates to a distribution network prosumer distributed optimal scheduling method for energy management of energy communities, which is characterized in that: the content includes energy community scheduling strategy modeling, ADMM-based distributed scheduling model and solution: energy community scheduling strategy construction The model incorporates system operating conditions and market operating mechanisms such as power flow and security, and builds a day-ahead optimal scheduling model for energy communities in consideration of economy and security; the distributed scheduling model and solution based on ADMM adopts graph theory for energy and community distribution network topology. Detailed modeling, while fully dispatching the flexibility of local systems, realizes the whole network through topology association, which meets the independent and interconnected operation requirements of the power grid, and can effectively solve the problem of large-scale prosumer optimization dispatching strategies, with scientific and reasonable methods , strong applicability, good effect and so on.

Description

technical field [0001] The invention relates to the technical field of energy configuration, and relates to a distributed optimal scheduling method for distribution network producers and consumers for energy management of energy communities. Background technique [0002] With the rapid development of distributed 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 mainly in the mode of self-production and self-consumption, and they have insufficient motivation to respond to market electricity price information; their flexible resource units are small and their locations are scattered, making it difficult to meet the threshold for participation in the electricity market. At the same time, the massive access of di...

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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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