Micro-energy network system and collaborative optimization operation control method thereof

A technology of micro-energy and energy conversion, applied in solar heating systems, design optimization/simulation, single-grid parallel feeding arrangement, etc. Restricting the local consumption of renewable energy and other issues to achieve the effect of alleviating the pressure of environmental pollution, making full use of it and improving energy efficiency

Active Publication Date: 2020-11-20
INNER MONGOLIA UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the operation of the micro-energy grid is mainly based on the Combined Cooling Heating and Power (CCHP) system, which assists wind, light and other renewable energy power generation, and in terms of load, it is only divided into cooling load, heating load and The electric load does not refine the energy demand of users, and at the same time, it does not consider the step-by-step utilization of energy and the comprehensive utilization of renewable energy on the energy supply side and energy consumption side, resulting in insufficient comprehensive energy utilization efficiency and restricting renewable energy. Full local consumption of energy

Method used

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  • Micro-energy network system and collaborative optimization operation control method thereof
  • Micro-energy network system and collaborative optimization operation control method thereof
  • Micro-energy network system and collaborative optimization operation control method thereof

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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 with multiple energy flows. A micro-energy grid is formed through source-grid-load-storage network. Such as 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 Boiler; the load side includes electric load, cooling load and heat load; the heat load includes low-temperature hot water load, medium-temperature hot water load, high-temperature hot water load and high-temperature steam load; the energy conversion device includes an electric heat pump; In the micro-energy grid system provided in this embodiment, the heat load is divided in...

Embodiment 2

[0063] This embodiment is used to provide a collaborative optimization operation control method for a micro-energy network system, which controls the above-mentioned micro-energy network system to work, taking into account the randomness and volatility of the power output of renewable energy equipment in the short-term scale of the micro-energy network system and user energy load changes, the real-time rolling optimization operation of micro energy network equipment is realized through the method of model predictive control. Such as 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 to obtain the predicted power output value of the renewable energy equipment; the weather data includes temperature, humidity, air pressure, air density, and solar radiation intensity , cloud coverage, surfac...

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Abstract

The invention relates to a micro-energy network system and a collaborative optimization operation control method thereof. Specific equipment contained in an energy supply side and an energy conversiondevice is reasonably configured; the formed micro-energy network system has the advantages that the new energy access proportion is higher; configuration can be optimized through the energy storage device; the power grid, the heat supply network and the air network meet the energy requirements of users; basic balance between local energy production and user energy consumption load is achieved; the collaborative optimization operation control method is used for carrying out rolling optimization on the micro-energy network system, the power output value of controllable energy supply equipment in the micro-energy network system is continuously adjusted, the micro-energy network system is made to operate economically on the premise that the real-time balance of supply and demand is met, and therefore the purpose of saving energy is achieved. Energy consumption, energy supply and energy storage are uniformly and cooperatively dispatched, multi-energy supply complementation in a micro-energy network system is achieved, the comprehensive utilization efficiency and stepped utilization of multi-energy supply in a micro-energy network are improved, emission is reduced, and local consumptionof energy is achieved.

Description

technical field [0001] The invention relates to the field of comprehensive energy utilization, in particular to a micro-energy network system and a cooperative optimization operation control method thereof. Background technique [0002] Energy is an important guarantee for human survival and the lifeblood of economic and social development. With the development of society and the improvement of people's living standards, human demand for energy is increasing year by year, resulting in the depletion of primary fossil energy and increasingly severe environmental problems. The disadvantages of traditional energy development and utilization are becoming more and more obvious, and energy transformation is imperative. To improve energy efficiency and reduce CO 2 To realize the sustainable development of society, people pay more and more attention to the way of combining the traditional energy system with renewable energy such as solar energy and wind energy. And born. However, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/46F22B1/22F24S20/20F25B30/06G06F30/27G16Y10/35G16Y20/30G16Y40/30G06F111/04
CPCH02J3/00H02J3/003H02J3/466F22B1/22F24S20/20F25B30/06G06F30/27G16Y10/35G16Y20/30G16Y40/30H02J2300/22H02J2300/28G06F2111/04Y02E10/40
Inventor 杨培宏刘景霞亢岚魏毅立张继红吴振奎张自雷
Owner INNER MONGOLIA UNIV OF SCI & TECH
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