Electric-automobile-contained micro electric network multi-target optimization scheduling method

A multi-objective optimization, electric vehicle technology, applied in the field of multi-objective optimization and scheduling of microgrids with electric vehicles

Active Publication Date: 2015-12-16
上海顺翼能源科技有限公司
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Problems solved by technology

However, these processing methods are relatively simple, and many aspects need further research

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  • Electric-automobile-contained micro electric network multi-target optimization scheduling method
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  • Electric-automobile-contained micro electric network multi-target optimization scheduling method

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Embodiment

[0074] The invention aims at the influence of the electric vehicle on the optimal dispatch after it is added to the micro grid. For this reason, the present invention includes distributed power sources including photovoltaic (Photovoltaic, PV), wind power (WindTurbine, WT), fuel cell (FuelCell, FC), micro gas turbine (MicroTurbine, MT), diesel engine (DieselGenerator, DSG) and energy storage The unit includes a battery (Battery, Bat), and the access of electric vehicles is also considered.

[0075] The optimal dispatching problem of the microgrid is an economic operation optimization problem, and the objective functions are different due to the different emphasis on the consideration of the problem. The invention establishes a micro-grid multi-objective economic scheduling model that considers operating costs, environmental benefits, and the comprehensive cost of both as optimization targets.

[0076] 1. Optimization goals

[0077] (1) The operating cost of microgrid dispatc...

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Abstract

The invention relates to an electric-automobile-contained micro electric network multi-target optimization scheduling method. The method is characterized by comprising steps that, 1), a mode of access of an electric automobile to a micro electrical network is determined, discharging and charging load distribution characteristic superposition of a single electric automobile under different access modes is carried out to obtain discharging and charging load distribution characteristics of the electric automobile; (2), the electric automobile is taken as a micro electric network scheduling object which is added for electric network optimization scheduling, and an micro electric network scheduling model in consideration of large-scale electric automobile access is established according to the discharging and charging load distribution characteristics of the electric automobile; and 3), a particle swarm optimization algorithm based on the automatic recombination mechanism is employed to solve the micro electric network scheduling model in consideration of large-scale electric automobile access, economical efficiency of micro electric network scheduling under various scheduling strategies is compared and analyzed, and thereby the optimum scheduling strategy is obtained. Compared with the prior art, the method further has advantages of comprehensive consideration and effective and feasible performance.

Description

technical field [0001] The invention relates to the field of micro-grid dispatching, in particular to a multi-objective optimal dispatching method for a micro-grid containing electric vehicles. Background technique [0002] As a new type of distributed power network management and supply technology, microgrid can facilitate the access of renewable energy power generation systems to the distribution network, and realize the effective management of demand-side energy and the efficient utilization of main grid power energy. [0003] The optimal dispatching problem of microgrid is similar to that of traditional large power grid, but it has its particularity and complexity. The main goal of optimal scheduling problem is to achieve the lowest cost in the power grid operation process. As the problem of environmental pollution has attracted people's attention, many researchers now put the cost of environmental pollution into the problem of scheduling optimization. In the optimal d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
Inventor 彭道刚张浩袁靖李辉夏飞钱玉良王亮
Owner 上海顺翼能源科技有限公司
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