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Day-ahead economic optimization dispatching method for optical-storage-charging energy router

A technology of economic optimization and scheduling method, which is applied to AC networks with different sources of the same frequency, internal combustion piston engines, mechanical equipment, etc., and can solve the problem of not providing optimal scheduling solutions for microgrids with light storage and charging based on energy routers. , to achieve the effect of improving the voltage quality of the distribution network, exploring the potential, and optimizing the charging behavior.

Active Publication Date: 2019-09-27
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JIAXING POWER SUPPLY CO
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it does not provide an optimal dispatching scheme for the energy router-based microgrid containing light storage and charging

Method used

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  • Day-ahead economic optimization dispatching method for optical-storage-charging energy router
  • Day-ahead economic optimization dispatching method for optical-storage-charging energy router
  • Day-ahead economic optimization dispatching method for optical-storage-charging energy router

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Embodiment 1

[0034] A day-ahead economic optimization scheduling method for optical storage charging energy routers, such as figure 1 As shown, this embodiment includes the following steps:

[0035] Step 1: Establish the optical storage charging energy router 302 and a mathematical model of each component.

[0036] (1) Establish the power flow model of the energy router 302:

[0037] P ER =P B +P PV -P EV

[0038] Among them, P ER is the active power delivered by the energy router 302 to the grid 301, P B is the power flowing from the energy storage device 305 to the energy router 302, P PV is the power flowing from the photovoltaic power generation 306 to the energy router 302, P EV is the power flowing from the energy router 302 to the charging pile.

[0039] (2) Establish a relationship model between the energy router 302 and the distribution network:

[0040] P Grid +P ER =P Load

[0041] Q Grid +Q ER =Q Load

[0042]

[0043] Among them, P Grid , Q Grid are the...

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Abstract

The invention relates to the technical field of power system dispatching and particularly relates to a day-ahead economic optimization dispatching method for an optical-storage-charging energy router, comprising the following steps of 1, establishing a mathematical model of the optical-storage-charging energy router and its components; 2, dividing the whole day into N equal time periods; 3, establishing an economically optimal objective function; 4, establishing a constraint condition; and 5, solving the optimization problem and obtaining a day-ahead economic optimization dispatching result. The method has substantial effects of rationally planning and dispatching the resources of the power grid and each port of the energy router under the condition of comprehensively considering various energy factors. The method optimizes the charging behavior of an electric vehicle, improves the voltage quality of the distribution network, explores the potential of an energy storage device, obtains an economically optimal day-ahead optimization dispatching result, and has a greater advantage than a traditional solution.

Description

technical field [0001] The invention relates to the technical field of electric power system dispatching, in particular to a day-ahead economic optimization dispatching method for an optical storage charging energy router. Background technique [0002] The rapid development of distributed power sources such as photovoltaics and wind power has brought severe challenges to the stable operation of distribution networks. At the same time, the emergence of new flexible loads such as energy storage systems and electric vehicles provides more control for the optimal operation of the distribution network. The future power distribution system will present flexible power distribution characteristics such as AC-DC hybrid, multi-directional power flow, and high controllability. How to rationally utilize distributed power sources and multiple loads to improve the operation economy and stability of distribution network has become an important issue. Among them, the optimization of power...

Claims

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Application Information

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IPC IPC(8): H02J3/06
CPCH02J3/06H02J2203/20Y02T10/40
Inventor 殷伟斌陈锡祥陈嵘郑伟民孙可郁家麟陈理李春郑朝明刘伟
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JIAXING POWER SUPPLY CO
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