Probabilistic load flow calculation method considering charging automobile grid connection and renewable energy source correlation
A probabilistic power flow calculation, renewable energy technology, applied in the field of smart grid, can solve problems such as large errors and irrelevance, and achieve the effect of high speed and good stability
Inactive Publication Date: 2021-09-28
NANJING UNIV OF SCI & TECH
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Problems solved by technology
[0003] In fact, there is randomness in renewable energy power generation, and the electric vehicle charging load with the characteristics of randomness and dispersion will become a new type of load, which can easily lead to peak-on-peak
However, the existing probabilistic power flow algorithms often use point estimation to approximate the solution or analyze it into the sum of the mean value and fluctuation when dealing with uncertainties, which has the disadvantage of large error and does not consider the correlation
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[0016] Such as figure 1 As shown, the present invention proposes a probabilistic power flow calculation method considering the grid connection of charging vehicles and the correlation of renewable energy, including the following steps:
[0017] Step 1. Considering the driving characteristics of electric vehicle owners, simulate the daily mileage and the end time of the last trip of each car through Monte Carlo simulation. The end time of the last trip can be regarded as its charging time. Assuming that the electric vehicle is charged to full capacity every day, the charging time is T ch Can be expressed as:
[0018]
[0019]
[0020] In the formula, Q end Indicates the power of the battery when the electric vehicle finishes charging, Q start Indicates the remaining power of the battery when the electric vehicle is connected to the grid, P ch Indicates the charging power of electric vehicles, SOC end Indicates the state of charge of the electric vehicle at the end of...
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The invention discloses a probabilistic load flow calculation method considering charging automobile grid connection and renewable energy source correlation, and the method comprises the steps: building a charging load model of a charging automobile according to the driving characteristics of an electric automobile owner, i.e., the daily driving mileage, the end time of the last trip, and the parameters of a battery; sampling a large number of wind speed and illumination scenes meeting distribution conditions according to the probability distribution condition of renewable energy, namely wind speed and illumination intensity and related coefficients thereof, and obtaining a distributed power supply output model by combining characteristics of a fan and a photovoltaic cell; substituting each group of input random variable sampling values into a deterministic load flow calculation equation, performing calculating to obtain a corresponding result, and performing mathematical analysis to obtain mathematical characteristics of system load flow distribution. According to the method, the actual situation of grid connection of the distributed power supply and the electric vehicle can be reflected, the uncertainty and correlation of renewable energy power generation are considered, and the method has great significance in stability analysis of a power system and optimal configuration of the distributed power supply.
Description
technical field [0001] The invention belongs to the field of smart grids, in particular to a probabilistic power flow calculation method considering the grid connection of charging vehicles and the correlation of renewable energy. Background technique [0002] With the continuous growth of electricity demand, the deepening of traditional energy shortage and the increasingly prominent environmental problems. Distributed power generation has many advantages such as high energy utilization efficiency, cleanness and environmental protection, and flexible installation locations, and has received wide support. Electric vehicles are favored by people for their relatively low cost, high stability, low emission, and high performance. [0003] In fact, there is randomness in renewable energy power generation, and the electric vehicle charging load with the characteristics of randomness and dispersion will become a new type of load, which can easily cause peaks to peaks. However, the...
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IPC IPC(8): H02J3/06
CPCH02J3/06
Inventor 陈盛凯张文强鲁浩徐泽
Owner NANJING UNIV OF SCI & TECH