Distributed power supply-containing microgrid multi-target optimization scheduling method

A distributed power source, multi-objective optimization technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve problems such as suboptimal, and achieve the effect of good environmental benefits and small operating economy

Inactive Publication Date: 2014-04-23
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0004] The present invention is aimed at the problem that the multi-objective optimization dispatching method of the micro-grid is relatively simple and cannot reach the optimum. The microgrid optimal scheduling model of various distributed power sources uses an adaptive simulated annealing genetic algorithm to solve the relationship between distributed power output, operation and maintenance costs, and sewage treatment costs in each period, and the multi-objective optimization results are analyzed. analyse and compare

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  • Distributed power supply-containing microgrid multi-target optimization scheduling method
  • Distributed power supply-containing microgrid multi-target optimization scheduling method
  • Distributed power supply-containing microgrid multi-target optimization scheduling method

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Embodiment Construction

[0019] 1. Distributed power supply model:

[0020] A typical microgrid is usually composed of wind turbines, photovoltaic cells, micro gas turbines, fuel cells, energy storage devices and other distributed power sources, inverters and controllers, which are connected to the peripheral large power grid through a common connection point (PCC) , which can realize the smooth transition between microgrid grid-connected and isolated grid operation modes. The main distributed power supply models are as follows:

[0021] 1. Wind turbine model:

[0022] The output power of the wind turbine and actual wind speed The relationship of can be described as the following piecewise function:

[0023] (1)

[0024] In the formula: is the cut-in wind speed; is the cut-out wind speed; is the rated wind speed; is the rated output power of the wind turbine.

[0025] 2. Photovoltaic cell model:

[0026] The actual output power of photovoltaic cells can be ob...

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Abstract

The invention relates to a distributed power supply-containing microgrid multi-target optimization scheduling method. For a microgrid containing various distributed power supplies, a multi-target optimization scheduling model based on operating maintenance cost, pollution discharge processing cost and comprehensive benefit cost is established, conversion of the maximal fuzzy membership degree into non-linear simple target optimization is adopted, influences of various distributed power supply characteristics on the microgrid optimization scheduling are comprehensively considered, and according to corresponding operating scheduling strategies, and a self-adaptive simulated annealing genetic algorithm is adopted to obtain the optimal scheme of economic operation of the microgrid under multiple targets. Examples show that a multi-target model can reflect the real operating condition of the microgrid better than a simple target model, and achieves better environmental benefits with small operating economy under a precondition of comprehensively considering an economic property and an environmental protection property.

Description

technical field [0001] The invention relates to a method, in particular to a multi-objective optimization scheduling method for a micro-grid with distributed power sources. Background technique [0002] Microgrid is a new distributed energy organization and structure, which facilitates the intervention of renewable energy systems and realizes the integrated operation of distributed power and loads. It is an important part of the smart grid. The basic task of micro-grid optimal scheduling is to reasonably and effectively arrange the output of each distributed power source and the interactive power with the distribution network according to a certain control strategy on the premise of meeting the load demand of the micro-grid system, so that the entire micro-grid The operation and maintenance costs and emission costs of the power grid are the lowest. [0003] At present, relevant scholars at home and abroad have studied the multi-objective optimal dispatching problem of micro...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
Inventor 彭道刚钱玉良张浩邱海伟李辉夏飞
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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