Microgrid active scheduling control method and system based on reward mechanism
A scheduling control and micro-grid technology, applied in the electric power field, to improve the level of optimization and intelligence, avoid cost problems, and ensure stability
Active Publication Date: 2021-04-16
GUANGXI POWER GRID ELECTRIC POWER RES INST
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Problems solved by technology
[0004] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a micro-grid active power scheduling control method and system based on a reward mechanism, which can solve the limitation problem of pre-planned control offline analysis scenarios and improve the efficiency of micro-grid scheduling operation. Optimization level and intelligent degree, so as to ensure the stability of power system operation
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[0041] see figure 1 , figure 1 It shows a schematic flow chart of the reward mechanism-based microgrid active power scheduling control method in the embodiment of the present invention.
[0042] like figure 1 As shown, a microgrid active power scheduling control method based on reward mechanism, the method includes the following steps:
[0043] S101. Preprocessing the collected microgrid operation data to form a sample data set;
[0044] The implementation process of the present invention comprises:
[0045] (1) Collect microgrid operation data, including element renewable energy generation data (photovoltaic power generation, wind power generation), other power generation data (micro gas turbine, diesel generator), uncontrollable load data, controllable load data, grid purchase and sale Electricity price, energy storage charge and discharge power, and exchange power between microgrid and grid;
[0046] (2) Eliminate abnormal data and bad data from the microgrid operating d...
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The invention discloses a microgrid active scheduling control method and system based on a reward mechanism. The method comprises the steps of carrying out preprocessing on collected microgrid operation data, and forming a sample data set; building a deep double-Q network model, and determining a reward function depended in the deep double-Q network model by taking the lowest total operating cost of the system as a target value; and importing the sample data set into the deep double-Q network model for training, outputting an optimal control strategy of microgrid active power scheduling, and performing reliability evaluation on the optimal control strategy in combination with the reward function. According to the embodiment of the invention, the problem of limitation of a plan-type control offline analysis scene can be solved, and the optimization level and the intelligent degree of microgrid scheduling operation are improved, so that the operation stability of a power system is guaranteed.
Description
technical field [0001] The invention relates to the field of electric power technology, in particular to a reward mechanism-based microgrid active power scheduling control method and system. Background technique [0002] For a long time, power grid dispatching agencies have usually solved most of the operation problems of traditional power systems through the mode of "offline calculation and online matching". It is known that its research direction is usually biased towards the optimization theory and method, that is, to model each component inside the microgrid, and then simplify each model, and finally use the corresponding algorithm to solve each model. [0003] However, with the rapid development of micro-grids, a high proportion of strongly intermittent renewable energy is connected, high-permeability power electronic equipment is put into use, multi-energy coupling operation, multi-participant game behaviors in energy market transactions, multi-time scale dynamic inter...
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Login to View More IPC IPC(8): H02J3/00H02J3/48H02J3/32H02J3/38G06F17/15
Inventor 陈卫东吴宁冯玉斌姚知洋肖静郭敏
Owner GUANGXI POWER GRID ELECTRIC POWER RES INST