Optimized electric-vehicle dispatching method considering wind-electricity and load uncertainty

An uncertain and optimized scheduling technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve the problems of wind power and load randomness characteristics that do not match, and can not truly reflect the scheduling situation, so as to achieve energy saving and emission reduction, effective Compromise, the effect of promoting absorption

Active Publication Date: 2014-03-12
溧阳常大技术转移中心有限公司
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Problems solved by technology

[0003] In the traditional mode, the optimal dispatching of wind power and electric vehicles does not consider the uncertainty of wind power and load, and uses a dete

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  • Optimized electric-vehicle dispatching method considering wind-electricity and load uncertainty

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[0019] The present invention will be further described in detail below in conjunction with the drawings.

[0020] An optimized dispatch strategy with electric vehicles considering wind power and load uncertainty, including the following steps:

[0021] (1) Accept the system's next 24-hour load demand data obtained by the power grid unit dispatching center; receive the forecast data of the wind power output of the wind farm, including the predicted wind power size and the upper and lower limits of the wind power output; receive the relevant characteristic data of PHEV; The unit characteristic data reported by each power plant derives the characteristic constraints of each unit;

[0022] (2) According to the uncertainty information of the output and load of large wind farms, use multi-scenario simulation technology to select several typical system operating states for system operating costs and carbon emission optimization scheduling, which can more accurately reflect the power optimiz...

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Abstract

The invention discloses an optimized electric-vehicle dispatching method considering wind-electricity and load uncertainty, which comprises the following steps of constructing an energy-saving emission-reducing dispatching model with uncertainty by using an electrical power system with a PHEV (Plug-in Hybrid Electric Vehicle), wind electricity and fire electricity as a researching object; firstly decomposing the random process of the uncertainty into a plurality of typical discrete probability scenes by adopting a multi-scene simulating technology, decomposing optimized dispatching taking energy saving and CO2 emission as targets into 24 working agents by adopting a multi-agent system technology, calculating a solution set by adopting a genetic algorithm, taking charge of the dynamic coupling dispatching among the working agents by cooperative agents so as to meet the dynamic balance constraint of the system, and finally realizing the effective coordination between carbon emission and energy saving through weight adjustment. The model established by the invention is effective and feasible, peak load shifting can be effectively realized through the PHEV, the absorption of the wind electricity is promoted, the action of loading dispatching is exerted, and the effective compromise between energy saving and emission reduction can be realized by reasonably selecting the weights of energy-saving and carbon-emitting targets.

Description

technical field [0001] The invention belongs to the field of optimal dispatching of power systems, relates to wind power and load uncertainty processing, electric vehicle charge and discharge control, and in particular to uncertainty processing. Background technique [0002] With the increasingly prominent contradiction between energy shortage and environmental pollution, clean and renewable energy has attracted widespread attention. Electric vehicles have incomparable advantages over traditional vehicles in terms of energy saving and emission reduction, curbing climate warming and ensuring the security of oil supply, etc., and have attracted extensive attention from governments, automobile manufacturers and energy companies in various countries. A technical report given by the National Renewable Energy Laboratory of the United States shows that PHEVs can greatly reduce CO2 emissions. It is precisely because PHEV has huge energy-saving and emission-reduction potentials that...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCY04S10/545Y02E40/76
Inventor 张晓花谢俊朱正伟张孝康
Owner 溧阳常大技术转移中心有限公司
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