Multi-time scale rolling micro-grid energy optimization management method

A multi-time-scale, energy-optimized technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as no consideration, controllable load division, and power reduction

Inactive Publication Date: 2018-04-06
YANSHAN UNIV
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Problems solved by technology

Relevant scholars have proposed a method to consider the energy optimization management of the microgrid on the demand side, but only considered two types of loads, namely controllable and uncontrollable loads, and did not divide the controllable loads in detail, and did not consider that some loads can only be shifted Cannot cut power directly
Also does not consider the const...

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  • Multi-time scale rolling micro-grid energy optimization management method
  • Multi-time scale rolling micro-grid energy optimization management method
  • Multi-time scale rolling micro-grid energy optimization management method

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Embodiment Construction

[0084] The present invention will be further described below in conjunction with accompanying drawing:

[0085] Due to the complex structure of the micro-grid, including various distributed power sources and loads, and each distributed power source and load has its own operating characteristics, the present invention first establishes a micro-grid structure such as figure 2 As shown, because the renewable energy power generation and load have the characteristics of intermittent and fluctuating, and its prediction accuracy is related to the time scale, so the present invention will optimize from two time scales, first divide two time scales, two time scales The scale relationship is as image 3 As shown, and then optimize step by step under two time scales, the specific steps are as follows figure 1 Shown:

[0086] Step 1. Intraday optimization is divided into hourly segments, and a day is divided into 24 time periods, and the power output of photovoltaics and wind turbines,...

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Abstract

The invention discloses a multi-time scale rolling micro-grid energy optimization management method. Firstly, two time scales are divided, the intra-day optimization aims at the minimum of the operating cost and the system network loss, the constraints of start, stop and operation of each distributed power supply are taken as constraints, and at the same time, a mathematical model for intra-day optimization is established in consideration with three load response costs and the constraints. The real-time optimization uses the intra-day optimization result as a reference, and the rolling optimization solution in the future finite time domain is performed by using a model prediction control algorithm. The method can comprehensively consider the constraints of various distributed power supplies and various load characteristics to ensure the safe and stable operation of a micro-grid, at the same time, considers the power consumption and improves the operating economic efficiency of the micro-grid.

Description

technical field [0001] The invention relates to the technical field of new energy power generation and smart grid, in particular to a multi-time scale rolling optimization micro-grid energy optimization management method considering demand response. Background technique [0002] With the gradual increase in the penetration rate of renewable energy, distributed power generation has gradually emerged in various countries. However, distributed power generation is decentralized and difficult to manage, so there is the emergence of microgrids. A microgrid is a small grid composed of distributed power sources such as photovoltaics, wind power, micro gas turbines, energy storage systems, and loads. Various distributed power sources have their own advantages and disadvantages, especially the intermittent power supply of renewable energy, which requires the micro-grid energy optimization management system to coordinate and optimize various distributed power sources to ensure that the...

Claims

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Application Information

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IPC IPC(8): H02J3/48H02J3/38
CPCH02J3/382H02J3/48H02J2203/20
Inventor 窦春霞王学伟王瑞山郑宇航罗维张占强
Owner YANSHAN UNIV
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