Power Quality Improvement in Grid Connected Distribution Systems using Artificial Intelligence based Controller

 ABSTRACT:

 The decay of power quality is one of the principal issues of electrical distribution systems. One of the main reasons for this is the use of non-linear devices like the switching devices and the power electronics converters. Non-linearity leads to detrimental effects on the utility of the power supply, system efficiency, reduction in power factor, etc. The reactive power is increased due to the reduction in power factor and it does not have any contribution in the transfer of energy, hence its compensation is needed. In this paper, the Artificial Neural Network (ANN) and Adaptive Neuro FuzzyInference System (ANFIS) based control methods for a Three-Phase Distribution StaticCompensator (DSTATCOM) are proposed. This is used for compensation of the reactive power along with the current related power quality issues that include harmonics. These control methods are simulated in the MATLAB environment with the help of the SIMULINK toolbox. The simulation results suitably demonstrate the performance of these methods and it is found that source current waveforms with lesser distortion are achieved with ANFIS as compared to ANN.

KEYWORDS:

1.      Power Quality Compensation

2.      MATLAB

3.      DSTATCOM

4.      Synchronous Reference Frame Theory

5.      Adaptive Neuro Fuzzy Inference System

6.      Artificial Neural Network

 SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

Fig. 1. Fundamental Line diagram of the DSTATCOM system

EXPECTED SIMULATION RESULTS:

 

Fig. 2. Waveforms obtained using ANN control algorithm

Fig. 3. Waveforms obtained using ANFIS control algorithm

CONCLUSION:

In this paper, we have used Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) control methods to improve the power quality compensation. SRF theory, ANN as well as ANFIS based techniques have shown the satisfactory operation of DSTATCOM. The ANFIS control technique has considerably improved the performance of the DSTATCOM as compared to that of the ANN technique. The ANFIS based technique utilizes both Fuzzy Logic as well as ANN algorithm and provides higher accuracy and lower THD in source current in conditions of varying load. MATLAB simulation along with test results prove the efficacy of the mentioned algorithms. Thus, ANFIS has proven to be more efficient as well as effective method in order to control the DSTATCOM for the improvement of power quality. A considerable change in the THD can be observed as ANFIS reduces the THD obtained using ANN as mentioned above, and thus reduces the effect of harmonics. This is how better results are obtained and the power quality is improved.

REFERENCES:

[1] Bhim Singh and Jitendra Solanki, ”A Comparison of Control Algorithms for DSTATCOM,” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 56, NO. 7, pp. 2738 – 2745, JULY 2009.

[2] Alka Singh and Bhim Singh, “Power Quality Issues related to Distributed Energy Source Integration to Utility Grids,”Annual IEEE India Conference (INDICON), December 2010.

[3] R. Deepak Singh, T. Praveen Kumar, Dr.K.Sumanth,” Simulation of SRF Based DSTATCOM With Grid Connected PV Generation System Using Fuzzy Logic Controller For Reactive Power Management,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol 5, NO.7, pp 6493-6501,July 2016.

[4] H. Prasad and T. D. Sudhakar, “Power Quality Improvement by Mitigation of Current Harmonics using D – STATCOM,” Third International Conference on Science Technology Engineering & Management (ICONSTEM), March 2017.

[5] Bhim Singh and Sabha Raj Arya, “Back-Propagation Control Algorithm for Power Quality Improvement using DSTATCOM,” IEEE Transactions on Industrial Electronics, vol. 61 ,No. 3 , pp. 1204 – 1212, March 2014.