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Micro-grid multi-objective optimal scheduling method and system based on model predictive control

A technology of multi-objective optimization and scheduling method, which is applied in the field of micro-grid multi-objective optimal scheduling energy management system, which can solve problems such as increased computational complexity, low economic utilization of energy storage units and renewable energy, and insufficient rapidity

Inactive Publication Date: 2019-11-05
HUBEI SURPASS SUN ELECTRIC
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  • Abstract
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  • Application Information

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Problems solved by technology

[0006] The above methods or algorithms still have insufficient convergence and rapidity, which increases the computational complexity, and the economic utilization rate of energy storage units and renewable energy is low

Method used

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  • Micro-grid multi-objective optimal scheduling method and system based on model predictive control
  • Micro-grid multi-objective optimal scheduling method and system based on model predictive control
  • Micro-grid multi-objective optimal scheduling method and system based on model predictive control

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specific Embodiment 1

[0064] Such as figure 1 As shown, the embodiment of the present invention provides a microgrid multi-objective optimal scheduling method based on model predictive control, including steps:

[0065] Step S101, respectively establishing mathematical models for energy management of microgrid grid-connected and island operation modes;

[0066] Step S102, acquiring and storing the real-time data of each voltage, current, power, and grid-connected state of the microgrid;

[0067] Step S103, based on the prediction algorithm, perform rolling prediction on the maximum power generation power of renewable energy, power demand of key loads, power demand of non-key loads and power purchase price;

[0068] Step S104, solving the optimal scheduling problem based on the multi-objective optimization algorithm;

[0069] Step S105, outputting an optimal scheduling reference value.

[0070] figure 2 What is shown is a structural block diagram of a microgrid according to an example embodimen...

specific Embodiment 2

[0174] Such as Figure 6 As shown, the embodiment of the present invention provides a microgrid energy management system 20 based on model predictive control, and the arrow indicates the direction of data transmission. It may include a model building module 201 , a data transmission and storage module 202 , a prediction module 203 , and an optimization solution module 204 .

[0175] The model building module 201 can build an energy management model of the microgrid based on operating costs, reliability costs, and technical requirements that the microgrid needs to meet for normal power supply.

[0176] In an example embodiment, the operating cost includes the cost of generating electricity from the distributed power source and the cost of power exchange with the main grid in the grid-connected operation mode. The distributed power generation cost of the microgrid refers to the resource cost and device operation and maintenance cost consumed by the distributed power generation ...

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Abstract

The invention relates to the technical field of micro grids, and in particular relates to a micro-grid multi-objective optimal scheduling method based on model predictive control and a micro-grid multi-objective optimal scheduling energy management system. According to the invention, a Gaussian process (GP) prediction algorithm is used to solve the maximum generated power of each renewable energysource, the load power demand of each stage and the forecast curve of the power purchase price of a large power grid in a certain time window in the future; the change of the energy storage efficiencyof an energy storage unit is considered in a model; constraints consider steady state constraints and dynamic constraints of the power grid; the optimal scheduling problem for solving the minimum power generation cost and reliability cost uses the Patrice Concavity Elimination Transform (PaCcET) algorithm; and the algorithm has superior performances in terms of convergence and population diversity. The energy management system ensures safe and economic operation in the grid-connected and islanded mode of a micro-grid. According to the invention, the economic utilization rate of the energy storage unit and renewable energy is improved under the premise of ensuring safe scheduling.

Description

technical field [0001] The invention relates to the technical field of micro-grids, in particular to a model predictive control-based multi-objective optimal scheduling method for micro-grids and an energy management system for multi-objective optimal scheduling of micro-grids. Background technique [0002] Compared with the simple structure microgrid with single power generation source, single energy storage, uncontrollable load, and single voltage level, it has a variety of distributed power generation units (DER) including wind power generation (WT), photovoltaic array (PV), gas turbine (GT), etc. ), a hybrid energy storage system containing multi-energy complementary or multiple batteries, controllable and switchable loads, and distributed power sources and loads connected to multi-voltage micro-grids, not only can better improve the economy of micro-grids , environmental protection, and can also improve the resilience, reliability and power quality of the main grid, but...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/46H02J3/38
CPCH02J3/00H02J3/008H02J3/46
Inventor 戴珂吴奇张卫平潘非孙玉鸿徐宏伟何颖黄少成林海涛
Owner HUBEI SURPASS SUN ELECTRIC
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