Microgrid operation optimization method based on radial basis function model

An operation optimization, microgrid technology, applied in the direction of single-network parallel feeding arrangement, electrical components, circuit devices, etc., can solve the problems of large calculation amount and long calculation time, so as to narrow the search range, reduce the calculation burden and time, Improve search efficiency

Active Publication Date: 2020-12-22
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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Experimental program
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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 microgrid optimization control, and discloses a microgrid operation optimization method based on a radial basis function model, and the method comprises the steps: building a microgrid optimization model which takes the output power of a power generation unit, the charging and discharging power of an energy storage battery and the interaction power of a tie line as control objects; determining constraint conditions of the microgrid optimization model; randomly sampling to generate an initial sampling point set; constructing a radial basis function model based on the initial sampling point set; estimating and solving an optimal solution of the microgrid optimization model by utilizing the radial basis function model, and optimizing microgrid operation.According to the method, repeated calling of a large number of complex target functions is avoided, the calculation burden and time are effectively reduced, and the search efficiency of the optimal solution of the system is improved.

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 Applications(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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