Energy storage optimal configuration method for coordinating electric vehicles to participate in auxiliary service market
A technology for electric vehicles and auxiliary services, used in electric vehicles, vehicle energy storage, nuclear methods, etc.
Pending Publication Date: 2021-03-12
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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Problems solved by technology
At the same time, according to the current development stage, there is still great uncertainty in the participation of electric vehicles in the ancillary service market. Therefore, how to coordinate the optimal allocation of energy storage for electric vehicles to participate in the ancillary service market is a technical problem that technicians in the field need to solve urgently.
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[0108] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:
[0109] An energy storage optimization allocation method for coordinating the participation of electric vehicles in the ancillary service market, such as figure 1 shown, including the following steps:
[0110] Step 1. Collect the historical load conditions of electric vehicles, and use the least squares support vector machine to predict the daily reporting capacity of electric vehicles participating in the ancillary service market at 96 points.
[0111] In this embodiment, the collection of electric vehicle historical load conditions in step 1 includes annual daily load values and daily load values of 96 points, and its data scale requires at least 365 daily load values and 30 typical daily load values. The distribution of 96 points.
[0112]Support vector machine has a wide range of applications in forecasting scenarios and has achieved fru...
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The invention relates to an energy storage optimal configuration method for coordinating an electric vehicle to participate in an auxiliary service market. The method comprises the following steps: step 1, predicting daily 96-point report capacity of the participation of the electric vehicle in the auxiliary service market by adopting a least square support vector machine; fitting to obtain the daily total load distribution condition of the electric vehicle; 3, determining the error distribution condition of the reported capacity and the actual response capacity, and simulating the future daily load total capacity scale of the electric vehicle by Monte Carlo; step 4, calculating the energy storage demand capacity of day participation coordination electric vehicle participation auxiliary service; step 5, constructing a target function for minimizing the auxiliary service scheduling risk; and step 6, solving the energy storage model in the step 5 by using a particle swarm algorithm, andoutputting a configuration result of the optimal energy storage capacity and energy storage power. According to the invention, the adjustable capacity of the electric vehicle participating in the auxiliary service can be improved.
Description
technical field [0001] The invention belongs to the technical field of energy storage optimization configuration of electric vehicles, in particular to an energy storage optimization configuration method for coordinating electric vehicles to participate in the auxiliary service market. Background technique [0002] With the increasingly prominent problems of global resource and environmental protection, the traditional energy flow structure needs to be improved urgently. The reform of my country's electricity market to further promote the interaction between supply and demand and encourage third-party entities to participate in auxiliary services is an important means to promote the consumption of new energy and improve energy utilization efficiency in the era of energy Internet. my country's new energy vehicles are developing rapidly. It is estimated that by 2030, the number of electric vehicles (Electric Vehicle, EV) in China will reach 60 million, and the peak charging lo...
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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/00H02J3/32
CPCG06Q10/04G06Q10/06315G06Q10/0635G06N3/006G06Q10/06313H02J3/322G06Q50/06B60L55/00B60L58/16B60L58/14B60L2260/42Y02E60/00Y02T10/70Y04S10/126G06N20/10G06N5/01G06N7/01B60L58/10G06F30/25G06F2111/08G06F2111/06G06F30/27G06F2119/06
Inventor刘敦楠刘明光彭晓峰加鹤萍王文王玲湘邹孟娇张悦杨烨苏舒柏德胜
OwnerNORTH CHINA ELECTRIC POWER UNIV (BAODING)