IEEE-30 Bus Case Study

The IEEE-30 bus system is used throughout this work to describe the proposed approach. It consists of six generating units, 41 transmission lines, 4 tap changing transformers and two VAR sources. The generator, bus, line, cost and emission data of the IEEE-30 bus system is taken from [27]. The one line diagram of this system is shown in Figure 5.1. The detailed system parameters are presented in the Appendix Tables A.1.Throughout all cases, the IEEE-30 bus system base MVA has assumed to be 100 MVA.
Load flow analysis of system consists of determination of magnitude and phase angle of voltage at each bus and active and reactive power flow in each line. Four quantities are associated with each bus. These are voltage magnitude V, phase angle,
The results obtained for congestion management are given in Figure 5.13.For no congestion condition under Hour-ahead schedule, the total tax imputed to the generators is Rs 0.6224/hr.
Table 5.13 Incremental and Decremental cost Bids
Generator
no. Incremental Cost
(Rs/MWh) Decremental cost
(Rs/MWh)
1 1620.44 1530.41
2 1710.46 1575.43
3 1845.5 1800.49
4 1800.49 1710.46
5 1800.49 1710.46
6 1800.49 1710.46

Figure 5.13 Congestion management cost under Hour-ahead
6. CONCLUSION
The operational aspects of power systems pose some of the most challenging problems encountered in the restructuring of the electric power industry. In this report we looked at one such problem. This work focuses on congestion management in day-ahead and hour-ahead markets in a deregulated electricity market scenario. The Preventive and Corrective approach is used in day-ahead and hour-ahead markets respectively to create a mechanism that enables the market players to compete, trade and simultaneously ensures that the system operation stays within security constraints.
This paper work has significantly accomplished many attainments in the area under discussion which is rescheduling the generations of Schedule Coordinators which are adjusted from the preferred schedules to relieve congestion.
The various achievements can be summarized as follows:
➢ To relieve congestion, Preventive and Corrective approach provides the preferred schedules of generations of the corresponding scheduling coordinators, so that no system constraints violates.
➢ Calculates the optimum generation pattern as well as all control variables in order