METHODOLOGY
To optimize the losses of given system which will simultaneously upgrade the voltage at every bus, following methodology is opted which also includes the calculation of required shunt compensation.
There are two cases:
Case 1: Base case The problem formed is a non linear constrained optimization problem. Interior point method is used to solve this problem. The interior-point approach to constrained minimization is to solve a sequence of approximate minimization problems. It reaches a best solution by traversing the interior of the feasible region. ‘fmincon’ follows two steps while using interior point method for the given non linear constrained problem. To solve the approximate problem, the algorithm uses one of two main types …show more content…
2. Here WTGS is connected at 33rd bus and compensation is provided at some buses (14, 18, 30, 33).
Table No. 2: Optimization Result of the 33 bus system with and without WTGS
System Quantities Without WTGS With WTGS only With WTGS compensated Result Concluded Result Given in [3] Result Concluded Result Concluded Result Given in [3]
Ploss (MW) 0.3692 0.3693 0.460 0.1525 0.2303
Qloss (MVAR) 0.2473 0.2473 0.3311 0.1097 0.1565
WTGS active power generation (MW) -- -- 1.1705 1.1756 0.9464
WTGS reactive power demand (MVAR) -- -- 1.3812 1.544 0.3944
Substation real input (MW) 5.084 5.084 4.0052 3.692 3.9959
Substation reactive power input (MVAR) 2.541 Not provided in the table 4.0123 1.454 Not provided in the table
Total system active load (MW) 4.715 4.715 4.715 4.715 4.715
Total system reactive load (MVAR) 2.3 2.3 2.3 2.3 2.3
WTGS bus voltage (kV) 11.12 11.12 11.09 11.92 …show more content…
without WTGS only. The results show that optimizing the losses have given better and acceptable results than the paper presented by U. Eminoglu.
Figure9: Graph of IEEE-33 bus voltages
CONCLUSION & FUTURE SCOPE
This paper concludes that addition of WTGS as distributed generator in distribution network can reduce the losses of the system while improving the voltage profile also. It will not only improve the voltage at the bus where WTGS is connected but will improve the voltage profile at all the buses of the distribution system. Shunt compensation is necessary to use so as to bring the voltage within acceptable limits. Initially base case of two bus radial distribution system is analyzed and same is tested for the IEEE-33 bus system to prove our research work. There is immense work which can be done on wind energy distribution and optimization in future. Other renewable technology can be analyzed for the same system and cost comparison is one of the best work that can be done in view of market potential. The impact of DFIG i.e. doubly fed induction generator and different controls of wind turbines can be studied as integration of these combinations can make the system more
To optimize the losses of given system which will simultaneously upgrade the voltage at every bus, following methodology is opted which also includes the calculation of required shunt compensation.
There are two cases:
Case 1: Base case The problem formed is a non linear constrained optimization problem. Interior point method is used to solve this problem. The interior-point approach to constrained minimization is to solve a sequence of approximate minimization problems. It reaches a best solution by traversing the interior of the feasible region. ‘fmincon’ follows two steps while using interior point method for the given non linear constrained problem. To solve the approximate problem, the algorithm uses one of two main types …show more content…
2. Here WTGS is connected at 33rd bus and compensation is provided at some buses (14, 18, 30, 33).
Table No. 2: Optimization Result of the 33 bus system with and without WTGS
System Quantities Without WTGS With WTGS only With WTGS compensated Result Concluded Result Given in [3] Result Concluded Result Concluded Result Given in [3]
Ploss (MW) 0.3692 0.3693 0.460 0.1525 0.2303
Qloss (MVAR) 0.2473 0.2473 0.3311 0.1097 0.1565
WTGS active power generation (MW) -- -- 1.1705 1.1756 0.9464
WTGS reactive power demand (MVAR) -- -- 1.3812 1.544 0.3944
Substation real input (MW) 5.084 5.084 4.0052 3.692 3.9959
Substation reactive power input (MVAR) 2.541 Not provided in the table 4.0123 1.454 Not provided in the table
Total system active load (MW) 4.715 4.715 4.715 4.715 4.715
Total system reactive load (MVAR) 2.3 2.3 2.3 2.3 2.3
WTGS bus voltage (kV) 11.12 11.12 11.09 11.92 …show more content…
without WTGS only. The results show that optimizing the losses have given better and acceptable results than the paper presented by U. Eminoglu.
Figure9: Graph of IEEE-33 bus voltages
CONCLUSION & FUTURE SCOPE
This paper concludes that addition of WTGS as distributed generator in distribution network can reduce the losses of the system while improving the voltage profile also. It will not only improve the voltage at the bus where WTGS is connected but will improve the voltage profile at all the buses of the distribution system. Shunt compensation is necessary to use so as to bring the voltage within acceptable limits. Initially base case of two bus radial distribution system is analyzed and same is tested for the IEEE-33 bus system to prove our research work. There is immense work which can be done on wind energy distribution and optimization in future. Other renewable technology can be analyzed for the same system and cost comparison is one of the best work that can be done in view of market potential. The impact of DFIG i.e. doubly fed induction generator and different controls of wind turbines can be studied as integration of these combinations can make the system more