Site selection and optimal configuration method for microgrid comprising electric vehicle charging station

An electric vehicle, optimized configuration technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve the impact of micro-grid economy, safety and stability, incomplete consideration of charging station site selection, frequent micro-grid load fluctuations, etc. question

Pending Publication Date: 2020-06-19
STATE GRID SICHUAN ECONOMIC RES INST
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Problems solved by technology

[0005] Existing research is mainly carried out independently on the optimal configuration of distributed power sources and electric vehicle charging stations, and there are few studies on the optimal configuration of microgrids including electric vehicle charging stations.
And most of these studies are mainly based on the realization of the economics of the optimal configuration of the micro-grid, but in the optimal configuration of th

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  • Site selection and optimal configuration method for microgrid comprising electric vehicle charging station
  • Site selection and optimal configuration method for microgrid comprising electric vehicle charging station
  • Site selection and optimal configuration method for microgrid comprising electric vehicle charging station

Examples

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Embodiment 1

[0107] This embodiment provides a method for selecting the location of a microgrid with electric vehicle charging stations, defining the charging service radius R s , as shown in formula (1):

[0108]

[0109]

[0110] In order to ensure the optimal location scheme, in the case of building a certain number of micro-grid systems including electric vehicle charging stations in a certain municipally planned load concentration area, the charging system should be optimized with the maximum sum of service radii of all systems. Station location planning, as shown in formula (3):

[0111]

[0112] In the formula, M is the number of planned micro-grid systems including electric vehicle charging stations.

[0113] The specific calculation example sets up 10 micro-grid systems with electric vehicle charging stations, and the load concentration area of ​​the planned site selection is a square area with a length and a width of 100 units. After performing 1000 times of random sit...

Embodiment 2

[0116] On the basis of Embodiment 1, this embodiment provides the prediction of demand for disorderly charging of electric vehicles:

[0117] First, analyze the charging behavior of electric vehicles, and set the charging start time t 0 is a normal distribution function, Charging start time t 0 The probability density function of :

[0118]

[0119] In formula (25), μ t =17.6,σ t = 3.4;

[0120] The daily mileage s obeys the logarithmic normal distribution, and its probability density function is shown in the following formula (26):

[0121]

[0122] In formula (26), μ s =0.88, σ s = 3.2; Due to the constraints of the battery capacity and state of charge of the electric vehicle, the maximum daily mileage s max is the mileage corresponding to the battery capacity falling from the upper limit to the lower limit.

[0123] Then, predict the disordered charging load of charging electric vehicles; the charging demand prediction of each electric vehicle is an independ...

Embodiment 3

[0129] This embodiment provides a method for optimal configuration of a microgrid system including electric vehicles, taking into account the economic cost objective function f 1 and load fluctuation objective function f 2 ;Economic cost objective function f 1 :

[0130] C=C i +C om +C cs +C ex +C charge +C loss (4);

[0131] In the formula, C is the total planning cost, and C i For the construction cost of four types of distributed power generation, wind power, photovoltaic, diesel engine and energy storage system, C om is the running cost, C cs is the construction cost of the charging station, C ex is the energy exchange cost between the microgrid and the grid, C charge Charging costs for EV users, C loss is the lost load cost, the unit is yuan;

[0132] load fluctuation target f 2 function:

[0133]

[0134] In the formula, P load-fluctuation is the load fluctuation, is the basic load of the microgrid at time t; is the charging load of M electric ve...

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Abstract

The invention discloses a site selection and optimal configuration method for microgrid comprising electric vehicle charging station, and the method comprises the steps: firstly proposing a concept ofa charging service radius based on a Voronoi diagram through considering the radiation area of a micro-grid system and the distance from a service boundary to a system center; and the site selectioncoordinates of the system are determined by taking the maximum sum of charging service radiuses as an objective function, so that the service range of the microgrid system containing the charging station is the widest. Aiming at the limitation of independent research of distributed energy and electric vehicle charging station planning, the invention provides a microgrid system double-target planning model containing an electric vehicle charging station, which aims at reducing the overall economic cost of a microgrid and an electric vehicle user and reducing the total load fluctuation of the microgrid. The defects in the prior art are effectively overcome, and good economic and social value is achieved.

Description

technical field [0001] The invention relates to the technical field of power grid configuration, in particular to a site selection and optimal configuration method for a micro-grid including electric vehicle charging stations. Background technique [0002] With the rapid development of my country's economy, the problems of energy shortage and environmental pollution have also emerged. Therefore, distributed renewable clean energy such as wind power and photovoltaic power generation and electric vehicles have received widespread attention from all walks of life. Since the uncertainty and intermittency of wind and solar output will seriously affect the power quality of the power grid, microgrids have emerged as the times require. A microgrid is a regional power system with distributed power sources, which can effectively alleviate the impact of wind and wind uncertainty on the power grid by absorbing the wind and wind output through the internal load of the region. For elect...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/043G06Q50/06
Inventor 王晞张全明任志超陈礼频叶强程超王海燕徐浩
Owner STATE GRID SICHUAN ECONOMIC RES INST
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