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Microgrid Operation Optimization Method Based on Radial Basis Function Model

A technology of operation optimization and micro-grid, which is applied in the direction of single-network parallel feeding arrangement, electrical components, circuit devices, etc., can solve problems such as long calculation time and large amount of calculation, reduce calculation burden and time, narrow search range, The effect of improving search efficiency

Active Publication Date: 2022-04-08
CHINA THREE GORGES UNIV
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Problems solved by technology

However, the optimization algorithm adopted in the above literature requires a large number of sampling and calling calculations for the objective function and constraints, resulting in defects such as large amount of calculation and long calculation time.

Method used

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  • Microgrid Operation Optimization Method Based on Radial Basis Function Model
  • Microgrid Operation Optimization Method Based on Radial Basis Function Model
  • Microgrid Operation Optimization Method Based on Radial Basis Function Model

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Embodiment Construction

[0037] The microgrid parameters of the embodiment: the rated power of the diesel generator is 100kW, the rated capacity of the energy storage battery is 250kWh, and the rated power of the photovoltaic battery is 50kW.

[0038] The microgrid operation optimization method based on the radial basis function model includes the following steps:

[0039] Step 1: Establish a microgrid optimization model that takes the output power of diesel generators, the charge and discharge power of energy storage batteries, and the interaction power of tie lines as the control objects;

[0040] The objective function of the microgrid optimization model is:

[0041]

[0042] Where t is the scheduling time period, and T is the total time period in the scheduling cycle; is the fuel cost of the i-th diesel generator in period t; is the maintenance cost of the i-th diesel generator in period t; and The start and stop costs of the i-th diesel generator in time period t respectively; is the...

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Abstract

The invention belongs to the field of micro-grid optimization control, and discloses a micro-grid operation optimization method based on a radial basis function model, including: establishing a micro-grid with the output power of a power generation unit, the charging and discharging power of an energy storage battery, and the interactive power of a tie line as control objects Optimize the model; determine the constraints of the microgrid optimization model; randomly sample to generate an initial sampling point set; construct a radial basis function model based on the initial sampling point set; use the radial basis function model to estimate and solve the optimal microgrid optimization model solution to optimize microgrid operation. The invention avoids repeatedly calling a large number of complex objective functions, effectively reduces the calculation burden and time, and improves the search efficiency of the optimal solution of the system.

Description

technical field [0001] The invention belongs to the field of micro-grid optimization control, and in particular relates to a micro-grid operation optimization method based on a radial basis function model. Background technique [0002] As an effective way to exert the efficiency of distributed power generation, microgrid has been highly praised by the power industry. Due to the uncertainty of renewable energy and the diversity of power sources, the complexity of the microgrid optimization model is increased, and the difficulty of solving the model is increased. Therefore, it will cause a problem of long calculation time when solving the complex microgrid optimization model. How to quickly solve the microgrid operation optimization scheme has become an important problem to be solved in the field of distributed power generation. [0003] In this technical field, the paper "Stochastic optimal operation of microgrid based on chaotic binary particle swarm optimization" publishe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/46H02J3/32H02J3/00G06Q10/04G06Q10/06G06Q50/06
CPCH02J3/388H02J3/381H02J3/466H02J3/32H02J3/0075G06Q10/04G06Q10/06312G06Q50/06H02J2203/10H02J2203/20H02J2300/10Y04S10/50Y02E40/70
Inventor 王灿张高瑞应宇辰陈思睿
Owner CHINA THREE GORGES UNIV
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