With the development of manufacturing technology and energy storage technology for dual temperature and dual control mobile power supplies, dual temperature and dual control mobile power supplies are connected to energy storage device terminals to ensure that application devices can achieve intelligent power supply and transmission control under dual temperature and dual control conditions. In the design and application of dual temperature and dual control mobile power supplies, the interference factors caused by the fusion of mobile power supply parameters increase the consumption capacity of dual temperature and dual control mobile power supplies. In order to improve the output stability of the dual temperature dual control mobile power supply and increase the output power gain of the dual temperature dual control mobile power supply, it is necessary to perform optimal parameter adjustment and adaptive control of the dual temperature dual control mobile power supply, establish the optimal parameter analysis and control model of the dual temperature dual control mobile power supply, and improve the output stability of the dual temperature dual control mobile power supply.
The optimal parameter control model design for dual temperature and dual control mobile power supply is based on the analysis of the structural adjustment parameters of the dual temperature and dual control mobile power supply, combined with intelligent analysis of the output parameters of the dual temperature and dual control mobile power supply. By fitting parameter control, adaptive adjustment of the control value of the dual temperature and dual control mobile power supply is achieved. In traditional methods, the optimal parameter regulation for dual temperature and dual control mobile power sources includes maximum output power regulation method, minimum coupling interference regulation method, and output current limiting regulation method. The above method establishes a constraint parameter model for the optimal parameter regulation of the dual temperature and dual control mobile power supply. The collaborative regulation of the dual temperature and dual control mobile power supply, energy storage, and controllable load is carried out through parameter optimization solving. However, the adaptability of the above method for the optimal parameter regulation of the dual temperature and dual control mobile power supply is not good, and the stability of the control output is not high. In this regard, an optimal parameter control method for dual temperature and dual control mobile power supply based on transient stability evaluation of inverters is proposed. Firstly, an analytical model for the optimal parameter distribution of the dual temperature and dual control mobile power supply is constructed. The method of energy consumption parameter suppression is used to achieve the maximum transmission power stability adjustment of the dual temperature and dual control mobile power supply. Then, the transient parameter optimization method is used to evaluate the optimal parameter stability of the dual temperature and dual control mobile power supply. Based on the evaluation results of the optimal parameter stability, in the stable domain of the drooping inverter, Adopting the transient stability control method of inverters to achieve optimal parameter regulation of dual temperature and dual control mobile power supply. Finally, simulation testing analysis was conducted to demonstrate the superior performance of this method in improving the optimal parameter regulation ability of dual temperature and dual control mobile power supplies.
1. The optimal parameter distribution of a dual temperature and dual control mobile power supply
1.1 Control constraint parameter model for dual temperature and dual control mobile power supply
Constructing an analytical model for the optimal parameter distribution of dual temperature and dual control mobile power supply, combined with the current limiting parameter control method, to achieve the integration and simulation control of the optimal parameters of dual temperature and dual control mobile power supply, introducing a current limiting link, establishing constraint characteristic quantities for the optimal parameter control of dual temperature and dual control mobile power supply, analyzing the impact of dual temperature and dual control mobile power supply system parameters on transient stability, and using the d-axis current priority limiting control method, The equivalent circuit model under the constraint of series resonant transformation is shown in Figure 1.
By using a large number of power module series parallel structure control methods, the fusion model of coordinated parameters for dual temperature and dual control mobile power supply is obtained as follows:
Among them, A is the side leakage inductance, kf is the auxiliary inductance, Pe is the series parallel output gain of a large number of power modules, and K is the impedance gain. In a single power module, the joint control function of copper loss and iron loss for the dual temperature and dual control mobile power supply module is obtained as follows:
Among them, Hri is the admittance matrix of network nodes, sj is the output pressure matrix of high-frequency transformers, and ni is the noise gain matrix.
To ensure the stability of phase shift control and power output, under the limitation of circuit driving capability, the order bi of the node admittance matrix of the dual temperature dual control mobile power supply is obtained. The instantaneous characteristic quantity of the optimal parameter analysis of the dual temperature dual control mobile power supply is:
In the formula, K is the strict dual port output weight, ai is the equivalent characteristic component of dual port decoupling, and br is the gradient function of the rapid decrease in grid side voltage. Based on the above analysis, a control constraint parameter model for dual temperature dual control mobile power supply is constructed.
1.2 Optimal parameter adjustment of dual temperature and dual control mobile power supply
By combining the current limiting parameter control method, the optimal parameter integration and simulation control of the dual temperature dual control mobile power supply are achieved. Based on the analysis of virtual power angle parameters and the method of energy consumption parameter suppression, the steady-state gain of the dual temperature dual control mobile power supply system is achieved:
Among them, R ^ rj represents the limiter parameters, T0rj represents the vertical inverter power angle output matrix, and W0i represents the inverter dq axis current reference component. The optimal parameter control constraint parameter model for dual temperature and dual control mobile power supply is obtained through step response in the coupling branch of adjacent regions, which is:
Among them, Rir represents the equivalent inertia, Wi represents the frequency differential parameter, and Pi represents the evaluated power gain under harmonic disturbance.
By combining parameter identification methods, adaptive optimization of the optimal parameter regulation for dual temperature and dual control mobile power supply is carried out. In the stable domain, the transient parameter optimization method is used to evaluate the stability of the optimal parameters for dual temperature and dual control mobile power supply. The output load Gm (s)=G0 (s) and the center frequency tm are obtained= τ， Based on frequency power parallel parameter adjustment, the output state function of the dual temperature and dual control mobile power supply is obtained as follows:
Among them, z1, z2, and z3 respectively represent the gain on the XYZ axis under the optimal parameter constraint of the dual temperature dual control mobile power supply, and b represents the joint adjustment parameter. Based on the above analysis, the output stability adjustment and optimization control of the dual temperature dual control mobile power supply are achieved through parameter optimization solving method.
2. Optimization of optimal parameter regulation for dual temperature and dual control mobile power supply
2.1 Convergence control of optimal parameters for dual temperature and dual control mobile power supply
Using the fluctuation fusion method of load, a stable parameter analysis model for the output of dual temperature and dual control mobile power supply is constructed. The estimated value of the optimal parameter regulation for the dual temperature and dual control mobile power supply is:
Among them, Rload represents impedance, Lmx represents inductance parameter, and capacitor compensation method is used to achieve stable parameter control of the optimal parameters of the dual temperature and dual control mobile power supply. A multi power scheduling model for the optimal parameters of the dual temperature and dual control mobile power supply is constructed, and combined with frequency power parameter analysis, the energy storage state of the dual temperature and dual control mobile power supply is obtained as X=I1, I2… Ik. For the given positive integer k, the decoupling fusion model for the dual temperature and dual control mobile power supply is constructed as follows:
With adaptive weight We=（ ω (e) j, 0) is used to adaptively optimize the coordinated control of the power grid by adjusting the coefficient. A control object model is constructed, and the optimal multiplier weighted control is adopted to obtain the fuzzy control function of the dual temperature and dual control mobile power supply
Among them, xi is the X-axis component of the steady-state node of the dual temperature dual control mobile power supply, and yi is the Y-axis component of the steady-state node of the dual temperature dual control mobile power supply. The stability adjustment of the output of the dual temperature and dual control mobile power supply is achieved by switching parallel capacitor switches. Assuming the voltage phasor k1 and damping winding coefficient k of the dual temperature and dual control mobile power supply β， Obtain the joint characteristic component of the dual temperature and dual control mobile power supply at time k that satisfies Rmac (W1, W2) ≥ Rbc (T0r1, T0r2), and the deterministic power flow characteristic component μ 1 μ 2 and μ m. The voltage winding optimization problem of dual temperature and dual control mobile power supply satisfies:
The optimal parameter convergence adjustment function for the dual temperature and dual control mobile power supply can be obtained as 1/ μ M1/ μ m. Adopting temperature control adjustment method to achieve optimal parameter convergence control of dual temperature and dual control mobile power supply.
2.2 Analysis of Optimal Parameter Optimization for Dual Temperature and Dual Control Mobile Power Supply
The optimal parameter ambiguity fusion model for dual temperature and dual control mobile power supply is: 1/ μ M ≤ min {1/ μ 1, 1/ μ 2}. The optimal parameter decision for dual temperature and dual control mobile power supply is made in a synchronous rotating coordinate system, and the optimal strategy is obtained that satisfies:
Using the three-phase active power regulation method, the adaptive learning function of the dual temperature and dual control mobile power supply is obtained as follows:
Using Smith control system for optimal parameter coupling adjustment of dual temperature dual control mobile power supply, in closed form, the feedback adjustment characteristic variable of the optimal parameter of dual temperature dual control mobile power supply is Trj. Using a first-order low-pass filter, the optimal parameter output of the common coupling point switch node is obtained:
When i=1, μ I satisfies, and the virtual inertia control parameters are:
Among them μ’ J satisfies:
Based on the stability evaluation results of the optimal parameters, in the stable domain of the drooping inverter, the transient stability control method of the inverter is adopted, with H as the proportional controller gain, and 1 is obtained/ μ I ≤ 1/ μ M ＜ 1/ λ 0</1 μ J and exists μ″ J satisfies:
Obtain the optimal values of prj (k) and pri (k), and achieve the optimal parameter optimization analysis of the dual temperature and dual control mobile power supply.
3. Experimental testing
Based on the optimal parameter regulation design of the dual temperature and dual control mobile power supply, the parameter analysis model of the current dual temperature and dual control mobile power supply is established in a typical second-order system for simulation testing. The experimental platform is shown in Figure 2.
In Figure 2, parameter analysis was performed on the DSP28335 platform, and the analysis results of setting control parameters are shown in Table 1.
| Parameters | Error | Constraint value | Statistical average |
| Isolation transformer/kV | 0.223 | 7. 123 | 5. 699 |
| Natural oscillation angular frequency/kHz | 0.235 | 6. 937 | 5. 549 |
| Sampling frequency/kHz | 0.220 | 6. 850 | 5. 480 |
| Filter capacitor C/μF | 0.239 | 6. 993 | 5. 595 |
| Secondary frequency modulation/kHz | 0.214 | 7. 260 | 5. 808 |
| High frequency voltage component/kV | 0.217 | 7. 190 | 5. 752 |
| Low harmonic/V | 0.206 | 7. 297 | 5. 837 |
Based on the above parameter analysis results, the optimal power parameter control result is shown in Figure 3.
Analyzing Figure 3, it can be concluded that this method can effectively achieve optimal power parameter control and test oscillation voltage, as shown in Figure 4.
Analysis of Figure 4 shows that this method can effectively achieve the optimal parameter regulation of the dual temperature dual control mobile power supply, with a large output power gain and good transient stability, improving the output stability of the dual temperature dual control mobile power supply.
4. Conclusion
In order to improve the output stability of the dual temperature dual control mobile power supply and increase the output power gain of the dual temperature dual control mobile power supply, it is necessary to perform optimal parameter adjustment and adaptive control of the dual temperature dual control mobile power supply, establish the optimal parameter analysis and control model of the dual temperature dual control mobile power supply, and propose the optimal parameter adjustment method of the dual temperature dual control mobile power supply based on inverter transient stability evaluation. By combining parameter identification methods, adaptive optimization of the optimal parameter regulation for dual temperature and dual control mobile power supply is carried out. In the stable domain, the stability evaluation of the optimal parameters for dual temperature and dual control mobile power supply is achieved through transient parameter optimization methods. Research has shown that this method has high stability and strong parameter analysis ability in regulating the parameters of dual temperature and dual control mobile power supplies.