A micro-energy grid system and its collaborative optimization operation control method
A technology of operation control and collaborative optimization, applied in the directions of solar heating system, design optimization/simulation, single network parallel feeding arrangement, etc. Restricting the local consumption of renewable energy and other issues, to achieve the effect of improving comprehensive utilization efficiency, alleviating environmental pollution pressure, and reducing loss
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Embodiment 1
[0032] This embodiment is used to provide a micro-energy grid system, the system is a micro-energy grid system composed of power supply, heating and cooling that operates independently of multiple energy flows, and constitutes a micro-energy grid through source-grid-load-storage network. like figure 1 As shown, the micro-energy grid system includes an energy supply side, an energy conversion device and a load side; the energy supply side includes a wind power generation device, a photovoltaic power generation device, a solar aluminum exhaust pipe heating device, a solar aluminum exhaust pipe refrigeration device and a gas a boiler; the load side includes an electric load, a cooling load and a heat load; the heat load includes a low temperature hot water load, a medium temperature hot water load, a high temperature hot water load and a high temperature steam load; the energy conversion device includes an electric heat pump; In a micro-energy grid system provided by this embodi...
Embodiment 2
[0063] This embodiment is used to provide a collaborative optimal operation control method for a micro-energy grid system, which controls the above-mentioned micro-energy grid system to work, taking into account the randomness and volatility of the power output of renewable energy equipment within a short time scale of the micro-energy grid system The real-time rolling optimization operation of micro-energy grid equipment is realized by the method of model predictive control. like figure 2 As shown, the collaborative optimization operation control method includes the following steps:
[0064] Step 101, according to the weather data, predict the power output value of the renewable energy equipment through deep learning, and obtain the predicted power output value of the renewable energy equipment; the weather data includes air temperature, humidity, air pressure, air density, solar radiation intensity , cloud coverage, surface temperature, wind speed and wind direction; the r...
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