Value network-based scheduling optimization method of energy storage system

Abstract

The invention belongs to the technical field of power system scheduling, and discloses a value network-based scheduling optimization method of an energy storage system. According to the method, by adopting a strategy that the energy storage system automatically adjusts an output plan thereof under an energy value time-varying background to achieve the maximum energy value, rasterization processing is firstly carried out on a two-dimensional bounded state space which is enclosed by time and an energy storage state, a value network is constructed according to an inverse order of the time, each unit in the network corresponds to one point of the state space, the maximum value from the state point to a scheduling cycle end state point is calculated as the value of the point and the output plan corresponding to a maximum value chain recorded by a scheduling cycle starting state point is an optimal solution under the rasterization precision; the state space with smaller granularity is generated near a low precision solution of the output plan in the previous step; and the steps are repeated and convergence of the solution is prompted through repeated iteration until the precision meets the requirements. The value network-based scheduling optimization method of the energy storage system is high in solution precision, fast in convergence and good in robustness, and the regulation economy and reliability of the energy storage system can be better ensured.

Description

technical field [0001] The invention belongs to the technical field of power system dispatching, and in particular relates to an optimization method for power system energy dispatching management. Background technique [0002] Power dispatching requires real-time balance of power generation and consumption within the whole system, which requires a high level of dispatching. With the continuous expansion of the grid-connected scale of intermittent renewable energy such as power generation crosswinds and light, the scheduling problems caused by fluctuating power sources are becoming more and more prominent. In recent years, in order to alleviate the outstanding dispatching problems and improve the ability to absorb intermittent renewable energy generation capacity, pumped storage power stations have been built, and energy storage capacity represented by electric vehicles has also appeared on the demand side. [0003] In countries or regions that have established an electricit...

AI Technical Summary

Problems solved by technology

In the research on storage systems, less consideration is given to the design of market mechanisms that benefit energy storage, other joint parties, and third parties

And these discussions all rely on optimization methods that can reflect the key characteristics of energy storage, have good robustness, and adapt to various scenarios

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