A modeling method for electric vehicle power battery participating in power system frequency modulation considering battery life
A technology of electric vehicles and power batteries, which is applied in the field of electric vehicle power batteries participating in power system frequency modulation modeling, and can solve problems such as not considering the cycle life of electric vehicle batteries
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specific Embodiment approach 1
[0029] Embodiment 1: A method for modeling electric vehicle power battery participation in power system frequency modulation that considers battery life includes the following steps:
[0030] Step 1: Establish a frequency modulation model of the power system including the electric vehicle power battery module, and output the power curve of the electric vehicle power battery;
[0031] Step 2: Determine the proportion of electric vehicles connected to the grid;
[0032] Step 3: Determine the per-unit limit value of the secondary frequency modulation channel power of the power system frequency modulation model in step 1 according to step 2;
[0033] Step 4: Establish the life loss model of the electric vehicle power battery, and calculate the capacity loss and maximum energy offset of the electric vehicle power battery after participating in frequency regulation.
specific Embodiment approach 2
[0034] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that the specific process of establishing the power system frequency modulation model including electric vehicle power battery module in the step 1 is as follows:
[0035] Step 11: Based on the principle of primary and secondary frequency regulation of the power system, a single-region power system frequency regulation model is established, such as figure 1 shown;
[0036] The power system contains a primary frequency modulation channel and a secondary frequency modulation channel, and the transfer function of the primary frequency modulation channel is G i (s) is the transfer function of each unit, a i is the power share coefficient of each unit, δ i is the adjustment coefficient of each unit; the transfer function of the secondary frequency modulation channel is K(s), and K(s) is the PI control function; the output of the system is the frequency deviation △f of the current s...
specific Embodiment approach 3
[0043] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that: the specific process of determining the proportion of electric vehicles entering the network in the second step is:
[0044] The invention considers the travel characteristics of the electric vehicle cluster to determine the per-unit limit value of the secondary frequency modulation channel of the power battery of the electric vehicle. According to the statistical results, the time, distance, and speed distribution curves of the proportion of private car travel are obtained. The statistical results of the data survey of floating vehicles within the Fifth Ring Road in Beijing are as follows: image 3 , Figure 4 , Figure 5 shown.
[0045] For a certain time t, the travel ratio of electric vehicle users is denoted as P(t). At any time, the distribution of electric vehicle travel distance is as follows: Figure 4 shown. When the electric vehicle travels a lo...
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