Sekretaris IJEEI
Amirullah Ubhara Surabaya
Revised paper on Your IJEEI Manuscript No D20-10353
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Enhancing The Performace of Load Real Power Flow using Dual UPQC- Dual PV System based on Dual Fuzzy Sugeno Method
Introduction
Improving the load's actual current flow performance using Dual UPQC-Dual PV system based on Dual Fuzzy Sugeno method. The comparison of the operational performance of single UPQC and double UPQC in a 3-phase 3-wire (3P3W) system under static and dynamic disturbances has been performed through simulations [7] and experiments [8]. Validation of the performance of the 2UPQC-2PV configuration against the 2UPQC and 2UPQC-1PV configurations to determine the best system configuration to maintain load voltage and improve actual load power performance and efficiency of the dual UPQC in voltage state interruption on the source bus.
Validation of the results of the dual FS with the dual PI control method on the shunt AF circuit of the 2UPQC-2PV, 2UPQC, and 2UPQC-1PV to determine the best system control method for maintaining load voltage and improving the real load power performance and efficiency of the dual-UPQC circuit in the state of the voltage interruption on the source bus. The percentage of sag/swell and break voltage, as well as the efficiency of the proposed dual-UPQC configuration using both the FS and PI methods, are also analyzed.
Research Method A. Proposed Method
After obtaining all these parameters, the next step is to determine the percentage age of the load voltage disturbances and the efficiency of each dual-UPQC configuration as the basis for determining the circuit model that gives the best performance in maintaining the load voltage , the load current, the load actual power under six OM disturbances. Then, based on this procedure, the authors further propose complete control of the dual UPQC whose model is shown in Fig. The dual Shunt AF input shown in Figure 5 is DC voltage 1 (𝑉𝐷𝐶1) and reference of DC voltage 1 (𝑉𝐷𝐶1∗ ) as well as DC voltage 2 (𝑉𝐷𝐶2) and reference of DC voltage 2 ( 𝑉𝐷𝐶2∗ ), while 𝑃𝑙𝑜𝑠𝑠1 and 𝑃𝑙𝑜FS 𝑠2 are chosen as the output 1 and 2.
The FS is the development of Fuzzy-Mamdani (FM) in the fuzzy inference system represented in IF-THEN rules, where the output (consequence) of the system is not a fuzzy set, but rather a constant or linear comparison. The difference between FM and FS is the determination of the output creep due to the fuzzy input.
Results and Discussion
At OM 3, the 2UPQC-2PV configuration with dual PI and dual FS method is able to result in the highest load voltage (𝑉𝐿) of 300.97 V and 202.63, respectively, compared to the 2UPQC and 2UPQC configurations -1PV. In OM 6, the 2UPQC-2PV configuration with the PI and FS method is also able to result in the highest load voltage (𝑉𝐿) of 286.07 V and 234.07, respectively, compared to the 2UPQC and 2UPQC-1PV configurations. At OM 3 fault, the 2UPQC- 2PV configuration with the PI and FS method is able to result in the highest load current of 8.285 A and 5.821 A, respectively, compared to the 2UPQC and 2UPQC-1PV configurations.
In the OM 6 fault, the 2UPQC-2PV configuration with PI and FS methods can also result in the lowest percentage of load voltage disturbance of 7.72%. In the same three configurations and using the PI and FS methods, the OM 5 disturbance produces a lower load real power (𝑃𝐿 above 3420 W) than the OM 2 disturbance (𝑃𝐿 above 3700 W).
Conclusion
17 shows that in the 2UPQC, 2UPQC-1PV and 2UPQC-2PV configurations using the PI and FS methods, the OM 4 disturbance is able to produce higher real load power (𝑃𝐿 over 4030 W) than the OM 1 interference (𝐿3 W) . In the same three configurations and using the PI and FS methods, the OM 3 disturbance is able to produce higher real load power than the OM 6 disturbance of 3600 W and 3700 W, compared to the 2UPQC and 2UPQC-1PV configurations. It shows that in the 2UPQC, 2UPQC-1PV and 2UPQC-2PV configurations using the PI and FS methods, the OM 4 perturbation is able to produce a slightly higher efficiency than the OM 1 perturbation.
In the three same configurations and using the PI and FS methods, OM 5 disorder yields lower system efficiency than OM 2 disorder. In the same three configurations and using PI and FS methods, OM 6 disorder leads to lower system efficiency than OM 3 disorder.
Acknowledgments
He received Sarjana Teknik (equivalent to B.Eng) and Magister Teknik (equivalent to M.Eng) degrees in electrical engineering from University of Brawijaya Malang and ITS Surabaya, respectively, in 2000 and 2008. He received a PhD degree in electrical engineering from ITS Surabaya in 2019 from the Power System and Simulation Laboratory (PSSL). He received a bachelor's degree in electrical engineering from Universitas Bhayangkara Surabaya and a master's degree in computer science from Gadjah Mada University (UGM) Yogyakarta in 1996 and 2016, respectively.
He is currently a professor in the Department of Electrical Engineering and a member of the PSSL at ITS Surabaya. His main interest includes power system analysis, power system stability control and power system dynamic stability.
The 1 st comment
Where 𝐼𝑃𝑉 is the PV current, 𝐼𝑜 is the saturated re-service current, 'a' is the ideal diode constant, 𝑉𝑡 = 𝑁𝑆𝐾𝑇𝑞-1 is the thermal voltage, 𝑁𝑆 is the number of series cells, 𝑞 is the electron charge, 𝐾 is the Boltzmann constant, 𝑇 is the p-n temperature. of the joint, 𝑅𝑆. Where 𝐼𝑃𝑉,𝑛, 𝐼𝑆𝐶,𝑛 and 𝑉𝑂𝐶,𝑛 are the PV current, short circuit current and open circuit voltage at ambient conditions (𝑇𝑛= 250𝐶 and 𝐺𝑛= 1000 𝑊/ 𝑚2), respectively. The value of 𝐾𝐼 is the short-circuit current coefficient with respect to temperature, 𝛥𝑇 = 𝑇 − 𝑇𝑛 is the temperature deviation from the standard temperature, 𝐺 is the irradiance level and 𝐾𝑉 is the ratio coefficient between the open circuit voltage and temperature.
Using (4) and (5) derived from the PV model equation, short-circuit current and open-circuit voltage can be calculated under different environmental conditions.
The 2 nd comment
The 3 rd comment
During the fuzzification process, a number of input variables are calculated and converted into linguistic variables called MFs. To translate them, each input and output variable is designed using seven membership functions (MFs) viz. The input MF of 𝑉𝐷𝐶−𝑒𝑟𝑜𝑟, the input MF of ∆ 𝑝̅𝑙𝑜𝑠𝑠 of FS 1 and FS 2 are shown in Fig.
Once 𝑉𝐷𝐶−𝑒𝑟𝑟𝑜𝑟and ∆ are obtained it works to change 𝑝̅𝑙𝑜𝑠𝑠1 and 𝑝̅𝑙𝑜𝑠𝑠2 the output generated from the linguistic variable back to numeric.
The 4 th comment
Real power flow and efficiency of 2UPQC-1PV using PI and FS methods OM Source. Real power flow and efficiency of 2UPQC-2PV using PI and FS methods OM Source.
The 5 th comment
The 6 th comment
The 7 th comment
14 below shows only the performance of source voltage (𝑉𝑆) and load voltage (𝑉𝐿) for the configuration of (i) 2UPQC, (ii) 2UPQC-1PV and (iii) 2UPQC-2PV respectively using FS control method on OM 6 respectively (D-Inter-NLL). Figure 12 shows only the performance of the source voltage (𝑉𝑆) for the configuration of (i) 2UPQC, (ii) 2UPQC-1PV and (iii) 2UPQC-2PV respectively in one phase (phase A).
The 8 th comment
The 9 th comment
The 10 th comment
The source voltage with distortion in Swell-NLL and Sag-NLL disturbances results in an increase in the average THD of the load voltage compared to the source voltage without distortion. The performance of the 2UPQC-2PV configuration is further validated with the 2UPQC and 2UPQC-1PV configurations. Performance validation of the 2UPQC-2PV configuration with the 2UPQC and 2UPQC-1PV configurations to determine the best system configuration while maintaining the magnitude and THD of the load voltage and improving the actual load power and efficiency of the dual UPQC into the source bus voltage interruption condition.
For OM6, the average THD of the load voltage is significantly reduced by 35.56% compared to the average THD of the source voltage of 834.34%. In the 2UPQC configuration that had interference with OM 1, OM 2, OM 4 and OM 5, dual PI controllers and dual FS can increase the average THD of the source current compared to the average THD of the load current. On the other hand, OM 3 and OM 6 controllers with dual PI and dual FS can reduce the average THD of the source current compared to the THD of the load voltage.
In the 2UPQC-1PV configuration, which has interference with OM 1, OM 2, OM 4 and OM 5, dual PI controllers and dual FS can increase the average THD of the source current compared to the average THD of the load current. On the other hand, OM 3 and OM 6 interference using dual PI controllers and dual FS can reduce the average THD of the source current compared to the average THD of the load current. In the 2UPQC-2PV configuration that experienced OM 1, OM 2, OM 4 and OM 5 disturbances, dual PI controllers and dual FS can increase the average THD of the source current compared to the average THD of the load current.
On the other hand, OM 3 and OM 6 using dual PI and dual FS controls are able to reduce an average THD of the source current compared to an average THD of the load current. This condition indicates that the source voltage with distortion in the Swell-NLL and Sag-NLL disturbances causes an increase in the average THD of the load voltage compared to the source voltage without distortion. The comparison of the operation performance of single UPQC and dual UPQC in a 3-phase 3-wire system (3P3W) under static disturbances as well as dynamic disturbances has been carried out through simulations [13] and experiments [14].
In the 2UPQC-1PV configuration experiencing disturbance with OM 1, OM 2, OM 4 and OM 5, dual PI and dual FS controllers can increase the average THD of the source current compared to the average THD of the load current. On the other hand, the OM 3 and OM 6 faults using dual PI and dual FS controls can reduce the average source current THD compared to an average load current THD. In the 2UPQC-2PV configuration experiencing OM 1, OM 2, OM 4 and OM 5 disturbances, the dual PI and dual FS controls can increase the average THD of the source current compared to an average THD of the load current.
On the other hand, OM 3 and OM 6 using dual PI and dual FS controls are able to reduce the average THD of the source current compared to an average THD of the load current.
