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An improved quantum particle swarm optimization (QPSO) algorithm for micro-energy grid scheduling

A quantum particle swarm, optimization scheduling technology, applied in the field of power scheduling, can solve problems such as falling into a local optimal solution and reducing population diversity

Active Publication Date: 2019-03-26
XIAN UNIV OF TECH
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  • Abstract
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Problems solved by technology

However, when using QPSO to solve the micro-energy network scheduling model, it is found that the particles are constantly moving closer to the optimal position of the population during evolution, which reduces the diversity of the population and easily falls into a local optimal solution in the later stage of iteration.

Method used

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  • An improved quantum particle swarm optimization (QPSO) algorithm for micro-energy grid scheduling
  • An improved quantum particle swarm optimization (QPSO) algorithm for micro-energy grid scheduling
  • An improved quantum particle swarm optimization (QPSO) algorithm for micro-energy grid scheduling

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Embodiment

[0161] The strength of this paper selects the parameters of typical summer days for simulation verification, and selects three different scenarios as shown in Table 1 to verify the optimal operation scheduling strategy. In order to alleviate the power supply pressure of the grid, this paper adopts the time-of-use electricity price response grid adjustment as shown in Table 2. The micro-energy grid and energy storage equipment parameters are shown in Table 3 and Table 4, the micro-source depreciation parameters and environmental treatment costs are shown in Table 5 and Table 6, and the day-ahead forecast output of the micro-energy grid’s electricity, cooling, heating loads and fans Power such as figure 2 shown.

[0162] Table 1 Scene classification

[0163] Scenes

CCHP

WT

energy storage

Tariff type

Scenes

√

×

×

TOU

scene 1

√

√

×

TOU

scene 2

√

√

√

TOU

[0164] Table 2 Time-of-use electr...

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Abstract

The invention discloses an optimized dispatching method of a micro-energy network based on an improved quantum particle swarm algorithm, which comprises the following steps: establishing an objectivefunction of the daily cost of the micro-energy network; calculating the output constraint of equipment in the micro-energy network; establishing Quantum particle swarm optimization (QPSO) model, and the population size, setting the maximum number of iterations and the upper and lower limits of the domain search radius of QPSO model to calculate the optimal output of each equipment and the daily minimum cost of micro-energy network. A method for optimize dispatch of micro-energy grid based on improve quantum particle swarm algorithm of that invention can realize the consumption of renewable energy, minimizes the daily operation economy and the environmental treatment cost under the reliable operation of the micro-energy grid, and provide a new solution algorithm for the optimization dispatch problem of the micro-energy grid containing renewable energy and energy storage.

Description

technical field [0001] The invention belongs to the technical field of electric power dispatching, and relates to an optimal dispatching method for a micro-energy network based on an improved quantum particle swarm algorithm. Background technique [0002] With the depletion of global fossil fuels and the increasingly serious environmental problems, building a low-carbon, clean, safe and efficient energy system has become the main focus of energy development in the world today. The concept of "Internet +", "Integrated Energy System" and "Energy Internet" has become a new wave of energy development, providing a new perspective for energy analysis. As the terminal energy supply system of the Energy Internet, the micro energy network is an inevitable choice to realize multi-energy mutual aid and energy cascade utilization. [0003] Relying on the background of "Energy Internet", the micro-energy grid extends the traditional micro-grid and is a multi-energy interconnection syste...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0637G06Q50/06Y02E40/70Y04S10/50
Inventor 贾嵘侯旭倩王开艳张惠智党建
Owner XIAN UNIV OF TECH
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