An interactive microgrid energy control processing method based on real-time feedback
A technology of real-time feedback and processing methods, applied to AC networks, electrical components, circuit devices, etc. with the same frequency from different sources, can solve problems such as deviation from the previous plan, inability to guarantee power demand, and forecast errors
Active Publication Date: 2016-09-14
ELEFIRST SCI & TECH
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Problems solved by technology
[0006] In the existing microgrid energy control processing methods, the combination of day-ahead planning and ultra-short-term optimization is mostly used. However, due to prediction errors, the actual operation often deviates from the day-ahead plan, resulting in control failure; ultra-short-term optimization is aimed at short-term Energy optimization, for energy storage, it is impossible to guarantee the power demand of a day
At the same time, in the existing methods, the upper and lower limits of SOC are simply considered for the limitation of energy storage, and frequent deep charging and deep discharging seriously affect the service life of energy storage.
In addition, the existing methods mostly consider the economics of the operation of the microgrid itself, and lack of reflection of its role as a controllable source of the large grid. Further improvements are needed to strengthen the role of the smart grid.
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[0046] In this embodiment, an interactive microgrid energy control processing method based on real-time feedback, such as figure 1 , figure 2 shown, including the following steps:
[0047] The first step is to predict according to the existing micro-grid data: at the predetermined time in the future, the output power of each distributed power source of each micro-grid and the load demand of the area where each micro-grid is located; The sum of the output power of the power supply is the total power of the microgrid at a predetermined time in the future;
[0048] Among them, the existing micro-grid data includes load data, light intensity data, temperature data, and wind speed data of the area where the micro-grid is located; The temperature data predicts the output power of the photovoltaic array, and the output power of the wind generator is predicted based on the wind speed data;
[0049] Alternatively, the existing microgrid data includes the load data of the area where...
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The invention relates to an interactive micro-grid energy control processing method based on real-time feedback, including: predicting the total power and load demand of the micro-grid, determining the operating constraints of the micro-grid itself, optimizing the micro-grid individual by improving the genetic algorithm, and obtaining the energy according to the optimization result Scheduling instructions, and make the microgrid carry out dispatching control according to the instructions. The control method of the invention can effectively correct the energy scheduling control according to the existing micro-grid data, so that the scheduling instructions are more practical.
Description
technical field [0001] The invention relates to an interactive micro-grid energy control processing method based on real-time feedback, and is especially suitable for micro-grids with wind and solar energy storage. Background technique [0002] As far as the applicant knows, with the increasing global energy crisis, low-carbon, clean renewable energy has become a research hotspot. At present, all countries in the world have carried out research projects on micro-grids containing renewable energy. Microgrid refers to a network composed of multiple distributed power sources and their related loads according to a certain topology, and is connected to the conventional power grid through static switches. [0003] At present, distributed power supply has become an important form of power supply. Compared with traditional power systems, it has excellent reliability and economy, less pollution, high reliability, high energy utilization efficiency, and its location is flexible, decen...
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Login to View More IPC IPC(8): H02J3/00H02J3/04H02J3/06
Inventor 汪梦余戴成涛周娟王义辉于海果
Owner ELEFIRST SCI & TECH