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Day-ahead scheduling optimization method considering source-load bilateral elastic space

A technology of elastic space and optimization method, which is applied in the direction of climate sustainability, AC network voltage adjustment, load forecasting in AC network, etc., to achieve the effect of improving operating efficiency, enhancing power supply capacity, and improving peak-shaving ability

Active Publication Date: 2021-07-09
HEFEI UNIV OF TECH +1
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  • Claims
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Problems solved by technology

[0004] Aiming at the deficiencies in the prior art, the present invention proposes a day-ahead scheduling optimization method that considers the elastic space on both sides of the source and load, in order to solve the peak-shaving demand problem of the power grid by using the elastic and schedulable resources in the power system, and promote new Energy consumption, so as to ensure the safe and stable operation of the power system

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  • Day-ahead scheduling optimization method considering source-load bilateral elastic space
  • Day-ahead scheduling optimization method considering source-load bilateral elastic space
  • Day-ahead scheduling optimization method considering source-load bilateral elastic space

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Embodiment Construction

[0072] In this embodiment, the intra-regional power grid day-ahead scheduling optimization method is applied to figure 1 The power system shown includes: thermal power units, wind power generation units, and flexible loads in the region; the dispatching agency obtains the current power generation power of thermal power units, the predicted power of wind power units, and load demand at the decision-making moment, and obtains according to the electricity price elasticity matrix The load curve after the time-of-use electricity price is used, and then the optimal action is selected according to the strategy obtained by the day-ahead scheduling optimization method of the regional power grid to adjust the power of the generator set and improve the operating efficiency of the power grid. see figure 2 , the day-ahead scheduling optimization method proceeds as follows:

[0073] Step 1. Construct the regional power grid, including: grid dispatching center, thermal power units, wind po...

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Abstract

The invention discloses a day-ahead scheduling optimization method considering a source load bilateral elastic space. The day-ahead scheduling optimization method comprises the following steps: firstly, establishing a mathematical model of a power grid in a region including a thermal power generating unit, a wind generating set, a rigid load and a flexible load; establishing a corresponding MDP mathematical model for the dynamic scheduling problem of the power grid in the region containing the elastic schedulable resources on the two sides of the power grid source load; and finally, adopting a near-end strategy optimization algorithm in deep reinforcement learning to carry out strategy solution on the MDP mathematical model, wherein an obtained optimization strategy can select a reasonable action scheme according to the actual operation state of the power grid at the scheduling moment, and optimal scheduling of the power grid is realized. According to the invention, the elastic schedulable resources in the power system can be fully utilized to solve the peak regulation demand problem of the power grid, the consumption of new energy is promoted, and the safe and stable operation of the power system is ensured.

Description

technical field [0001] The invention belongs to the field of intra-regional power grid dispatching, and specifically relates to a day-ahead dispatching optimization method considering elastic dispatchable resources on both sides of source and load. Background technique [0002] With the large-scale grid connection of new energy, clean energy such as wind power has developed rapidly, and the penetration rate of wind power in the power system has increased year by year. However, wind power has the characteristics of strong random fluctuation and strong intermittency. These have brought great challenges to new energy consumption and resource allocation of power grids. The anti-peak shaving characteristics of new energy also bring great pressure to the peak shaving of the power grid. As a load-side schedulable resource, flexible load can optimize the load curve, and the deep peak-shaving capability of thermal power units can also enhance the peak-shaving capability of the syst...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/46H02J3/14H02J3/00G06N20/00
CPCH02J3/466H02J3/144H02J3/003H02J3/004G06N20/00H02J2203/20H02J2300/28Y04S20/222Y02B70/3225
Inventor 唐昊昌柯君王正风吴旭李智吕凯谭琦
Owner HEFEI UNIV OF TECH
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