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Park energy-network energy optimizing management system based on microgrids and implementing method thereof

An energy management system and energy optimization technology, applied in the energy optimization management system of the park energy network and its realization field, can solve the problems of waste, economic loss, and insufficient utilization of resources, etc.

Active Publication Date: 2012-10-03
CHINA ELECTRIC POWER RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the isolation of water, electricity, gas, and heating networks among various industries, it cannot solve the peak-valley difference between the supply and demand of various energy sources by itself.
This makes the originally limited resources not fully utilized or wasted, resulting in huge economic losses.

Method used

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  • Park energy-network energy optimizing management system based on microgrids and implementing method thereof
  • Park energy-network energy optimizing management system based on microgrids and implementing method thereof
  • Park energy-network energy optimizing management system based on microgrids and implementing method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0203] Coordinated control strategy of micro power supply and energy storage during grid-connected operation:

[0204] The coordinated control strategy of micro power supply and energy storage during grid-connected operation is as follows: figure 2 As shown in the figure, formula ①- The expression of is as follows:

[0205] a. Judging whether the active power output of the micro-power source is greater than or equal to the sum of the active power of the load and line loss, and judging whether the reactive power output of the micro-power source is greater than or equal to the sum of the load and the reactive power of the line loss; expressed by the following group and ① formula :

[0206] And ①:P W +P PV +P EMT ≥P l1 +P l2 +…+P ln +P loss ;

[0207] Q W +Q PV +Q EMT +Q SVC ≥Q l1 +Q l2 +...+Q ln +Q loss ;

[0208] b. Judging whether the active power output of the micro-power source is equal to the sum of the active power of the load and the line loss; and ju...

Embodiment 2

[0243] Coordinated control strategy of micro power supply and energy storage during isolated grid operation:

[0244] The coordinated control strategy of micro power supply and energy storage during isolated grid operation is as follows: image 3 As shown, in the figure ①- The expression of the formula is as follows:

[0245] i. Judging whether the active power output of the micro-power source is greater than or equal to the sum of the active power of the load and the line loss, and judging whether the reactive power output of the micro-power source is greater than or equal to the sum of the load and the reactive power of the line loss; expressed by the following formula ① :

[0246] Solitary ①: P W +P PV +P EMT ≥P l1 +P l2 +…+P ln +P loss ;

[0247] Q W +Q PV +Q EMT +Q SVC ≥Q l1 +Q l2 +...+Q ln +Q loss ;

[0248] ii. Judging whether the active power output of the micro-power source is equal to the sum of the active power of the load and the line loss, and ...

Embodiment 3

[0277] Coordinated control strategy of micro power supply and energy storage during microgrid operation mode transition:

[0278] The coordinated control strategy of micro power supply and energy storage when the micro grid is connected to the isolated grid is as follows: Figure 4 As shown in the figure, formula ①- and figure 2 The same in formula ⑤-solitary respectively with image 3 In the formula ⑤~ The same; the coordinated control strategy of micro-power source and energy storage when the micro-grid is transferred from isolated grid to grid-connected grid is as follows: Figure 5 As shown in the figure, formula ①- and image 3 The same in formula and ⑤-and respectively with figure 2 The formula ⑤- same.

[0279] In the above logic judgment process, active power and reactive power are judged independently.

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Abstract

The invention relates to a park energy-network energy optimizing management system based on microgrids and an implementing method of the system. The energy optimizing management system is implemented by park energy scheduling and microgrid energy management. The micro power grid management system is in a three-layered structure including a microgrid energy scheduling layer, a microgrid centralized control layer and a microgrid, stored energy and load local control layer. Constraint conditions of the energy optimizing management method are guaranteed by the microgrid centralized control layer. The output of each microgrid or stored energy is determined by a microgrid and stored energy coordination control policy in a microgrid central controller; and an objective function includes three objective function subsets at different grades. Through computing the objective function values at various states by a multi-objective optimizing algorithm based on weight, the defect of randomness and intermittence of the distributed power source is overcome, the complementary problem among multiple microgrids and multiple micro power sources in the microgrid in the park energy network is solved, and optimized utilization of clean energy and maximization of system energy efficiency can be achieved.

Description

technical field [0001] The invention relates to an energy optimization management system and an optimization management method thereof, in particular to an energy optimization management system of a park energy network based on a microgrid and an implementation method thereof. Background technique [0002] Energy shortage and over-exploitation damage the environment and ecology, forcing people to face the transformation of energy consumption structure again. The new energy consumption pattern will be dominated by renewable energy such as solar energy, wind energy, geothermal energy, tides, etc., while petroleum, coal, nuclear fuel, Primary energy such as natural gas coexists. However, because water, electricity, gas, and heating networks are isolated from each other, they cannot solve the peak-valley difference between the supply and demand of various energy sources. This makes the originally limited resources not be fully utilized or wasted, resulting in huge economic loss...

Claims

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Application Information

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IPC IPC(8): H02J13/00
CPCY02B70/3241Y04S20/227Y02B70/30
Inventor 刘海涛张佳军苏剑吴鸣季宇
Owner CHINA ELECTRIC POWER RES INST
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