CCHP microgrid operation optimization method

A technology of operation optimization and micro-grid, which is applied in the field of micro-grid economy, can solve the problems of unsatisfactory economic optimization of CCHP micro-grid, and achieve high practicability and rationality

Inactive Publication Date: 2020-05-12
GUANGDONG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The present invention provides a CCHP microgrid operation optimization method for overcoming the defe

Method used

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  • CCHP microgrid operation optimization method
  • CCHP microgrid operation optimization method

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Embodiment 1

[0118] This embodiment provides a CCHP microgrid operation optimization method, the method comprising the following steps:

[0119] S1: Build a microgrid system model;

[0120] S2: Construct microgrid operation data set;

[0121] S3: Establish the objective function of the microgrid economic operation optimization model;

[0122] S4: Establish the constraint conditions of the microgrid economic operation optimization model;

[0123] S5: Find the optimal solution to the economic optimization problem of CCHP microgrid based on Q-learning plus quantum particle swarm optimization algorithm.

[0124] Combine below figure 1 The method described in this embodiment is described in detail:

[0125] figure 1 S1 in describes the construction of the microgrid system model. The microgrid system model includes the output power model of photovoltaic battery group, the output power model of wind turbine, the output power model of gas generator, the output power model of energy storage b...

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Abstract

The invention relates to a CCHP microgrid operation optimization method. The method comprises the steps of S1, constructing a microgrid system model; s2, constructing a microgrid operation data set; s3, establishing a target function of the microgrid economic operation optimization model; s4, establishing constraint conditions of the microgrid economic operation optimization model; and S5, solvingan optimal solution of the economic optimization problem of the CCHP microgrid based on a Q learning and quantum particle swarm optimization algorithm. According to the method, population initialization is optimized by utilizing a chaos optimization algorithm, so that the diversity of particles can be increased, the global optimum searching capability is improved, and the probability of falling into global optimum is low. Meanwhile, the search capability of each particle for the optimal solution is further improved by adopting a crisscross algorithm, a better optimization effect can be obtained when economic optimization is carried out on the cold-heat-electricity combined supply microgrid, the problem that the economic optimization problem is likely to fall into local optimization is effectively solved, and a better economic optimization result is obtained.

Description

technical field [0001] The present invention relates to the field of micro-grid economy, and more specifically, to a CCHP micro-grid operation optimization method. Background technique [0002] With the rapid development of the economy, the depletion of fossil fuels and other non-renewable natural resources, and the continuous deterioration of the global ecological environment, the problems between my country's energy supply and demand have become increasingly prominent. As the world's largest energy consumer and carbon dioxide emitter, carry out energy-saving power generation dispatching, establish a system that maximizes the use of renewable energy and other clean energy, in order to reduce the consumption of non-renewable energy and pollutant emissions and safe, efficient and clean electricity The system is imminent. Among them, the combined cooling, heating and power microgrid system has attracted much attention for its efficient, green and economical energy utilization...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N3/00
CPCG06Q10/04G06Q50/06G06N3/006Y04S10/50Y02E40/70
Inventor 何家裕吴杰康余方明庄仲
Owner GUANGDONG UNIV OF TECH
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