Demand side response collaborative optimization method based on quantum approximate state

A demand-side response and collaborative optimization technology, applied in multi-objective optimization, design optimization/simulation, instrumentation, etc., can solve the problems that traditional calculation methods cannot carry the amount of calculation, and achieve the effect of accelerating the solution speed

Pending Publication Date: 2022-08-02
HEFEI UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the continuous deepening of digitalization and the continuous improvement of system coordination requirements, the computing power requirements of each link of the power system will increase exponentially, and the traditional computing methods will not be able to carry the existing computing load.

Method used

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  • Demand side response collaborative optimization method based on quantum approximate state
  • Demand side response collaborative optimization method based on quantum approximate state
  • Demand side response collaborative optimization method based on quantum approximate state

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Embodiment Construction

[0070] In this embodiment, a demand-side response collaborative optimization method based on quantum approximate state is based on the existing power system planning theory, fully considers the existing complex types of demand-side dispatchable loads, and uniquely integrates quantum mechanics Applied to binary variables dealing with source-load-unit combination problems, the solution of the model is accelerated by the high efficiency of quantum solution. Specifically, such as figure 1 shown, including the following steps:

[0071] Step 1, according to the actual situation of the power system, establish a power grid topology network diagram of the IEEE node system and a charging pile planning diagram.

[0072] Step 2: Establish a mathematical model of load shedding represented by electric vehicles and a mathematical model of translatable load represented by HVAC load on the demand side of the power system respectively, and add the consideration of electric vehicle batteries to ...

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Abstract

The invention discloses a demand side response collaborative optimization method based on a quantum approximation state. The method comprises the following steps: 1, establishing a power grid topological structure diagram and a charging pile planning topological diagram according to an analysis area; 2, establishing mathematical models of electric vehicles and heating ventilation air conditioners on the demand side of the area; 3, establishing a power distribution network operation optimization model considering demand side response, and setting an objective function and constraint conditions of the model; 4, inputting parameters of the power distribution network operation optimization model, and converting binary variables in the model into a quantum bit form; and 5, solving the power distribution network operation optimization model processed in the step 4 by adopting an improved krill swarm algorithm to obtain a start-stop state and a power value of a source-load unit which enables the target function to be minimum. According to the method, while accurate solving of the power distribution network operation optimization mathematical model is guaranteed, the complexity of binary variable solving is reduced, and the solving speed of the power distribution network operation optimization mathematical model is improved, so that the daily growth calculation amount of the power system dispatching optimization model at the present stage is met.

Description

technical field [0001] The invention relates to the field of power system planning and operation and the theory of quantum mechanics, in particular to a demand-side response collaborative optimization method based on a quantum approximate state. Background technique [0002] Under the background of the energy revolution driven by the national strategic carbon reduction goal of "carbon peaking and carbon neutrality", a high proportion of new energy sources and gradually replacing fossil energy will become the mainstream development trend. Determinism brings a series of problems to the reliable operation of the grid. In order to ensure the stable operation of the power system, if the traditional method is used to adjust the output of the thermal power unit to stabilize the fluctuation of the new energy output, on the one hand, the frequent start and stop of the thermal power unit will increase the operating cost of the thermal power plant and aggravate the fatigue and fatigue ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/32H02J3/46G06F30/27G06F111/06G06F119/02
CPCH02J3/003H02J3/322H02J3/466G06F30/27H02J2203/20H02J2203/10G06F2111/06G06F2119/02Y04S20/222Y02B70/3225
Inventor 张大波徐震欧阳菠马英浩杨贺钧
Owner HEFEI UNIV OF TECH
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