Multi-microgrid game optimization method based on generation prediction in cloud energy storage environment

Abstract

The invention discloses a multi-microgrid game optimization method based on power generation prediction in a cloud energy storage environment, belonging to the technical field of power system automation. Aimed to maximize the transaction revenue of multi-micro-grid and cloud energy storage, the method builds an overall joint optimization model of a multi-microgrid system; the overall joint optimization model is decomposed into subsystem models with a single micro-grid as the main body; according to the real-time meteorological information, the day-ahead output condition of each main body is predicted; according to the historical data of other main bodies, each main body predicts the day-ahead output of other main bodies; by taking the electricity sales and purchase volume of the current main body and the cloud energy storage transaction as participants and the electricity sales and purchase volume of other main bodies and the energy storage transaction as competitors and by seeking forthe Nash equilibrium point of the profit maximization benefit function of each subject and the profit maximization benefit function of cloud energy storage operators, each subsystem model is solved and the game strategy set of each subject is obtained, which realizes the profit maximization of each subject and the whole cloud energy storage operators and the optimal allocation of resources of thewhole system.

Description

technical field [0001] The invention discloses a multi-microgrid game optimization method based on power generation prediction in a cloud energy storage environment, and belongs to the technical field of power system automation. Background technique [0002] Due to the intermittent nature of renewable energy, the unreasonable distribution of distributed resources, and the limitations of cost factors such as installation and maintenance of energy storage devices, it can be foreseen that in the near future, multi-micro-grid transactions in the cloud energy storage environment will inevitably become the main way of market power operation. , at present, there is no relevant theoretical research on multi-microgrid transactions in the cloud energy storage environment. This invention will use power generation forecasting technology to explore how to scientifically and rationally handle the interest relationship between cloud energy storage operators and microgrids to realize distrib...

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Problems solved by technology

[0004] The purpose of the present invention is to address the shortcomings of the above-mentioned background technology, and provide a multi-microgrid game optimization method based on power generation forecasting in a cloud energy storage environment, predicting the daily contribution of the stakeholder itself according to weather information, and predicting according to the historical data of other stakeholder The previous contribution of other stakeholders, in the actual game process, the game strategy set of each subject is obtained by seeking the Nash equilibrium point of the benefit function of each subject's benefit maximization and the cloud energy storage operator's profit maximization benefit function, so as to realize the benefits of each subject Maximize the overall interests of the main body and cloud energy storage operators, and solve the technical problem that the effectiveness and timeliness of traditional game strategies are poor, which makes it difficult to maximize the overall benefits

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