TIME-BASED DEVELOPMENT PLANS FOR DISTRIBUTION NETWORKS IN THE PRESENCE OF DISTRIBUTED GENERATORS AND CAPACITOR BANKS

Abstract

In this paper, a time-based model for distribution network development planning is proposed, considering the possibility of using distributed electricity generation technologies and the existence of capacitor banks. The proposed model specifies the location, capacity, and timing of the use of distributed generation technologies and capacitor banks as well as the schedule for increasing the capacity of the grid lines. The Genetic Enhanced Algorithm is used to solve the stated problem to optimize the network development plan including the time, location and capacity of DG and capacitor banks in the distribution network as well as to optimize the investment cost and operating cost. It was also implemented in a MATLAB programming environment to validate and evaluate the effectiveness of the proposed solution to the problem of distribution network development planning on a 17-bus radial distribution network.

Keywords

• Development of Distribution Networks
• Distributed Generation Resources
• Capacitor Bank
• Genetic Algorithm

References

1. PATRE, p., JOSHI, S. M., 2014, "Direct Model Reference Adaptive Control with Actuator Failures and Sensor Bias", Journal of Guidance, Control, and Dynamics, 37(1), 210-225
2. RAHIMIYAN, M., RAJABI MASHHADI, H., 2010, “Evaluating the efficiency of divestiture policy in promoting competitiveness using an analytical method and agent-based computational economics,” Energy Policy, 38(3), 1588-1595
3. PATRE, P., JOSHI, S. M., "Accommodating Sensor Bias in MRAC for State Tracking", PROC. AIAA Guidance, Naviageation, and Control Conference, Portland, OR, August 8-10, 2011.
4. ALE, B. J. M., BELLAMY, L. J., COOPER, J., ABABEI, D., KUROWICKA, D., MORALES, O., SPOUGE, J., 2010, “Analysis of the Crash of TK 1951 Using CATS,” Reliability Engineering & System Safety, 95(5), 469–477
5. BURKHOLDER, J., and TAO, G., 2011, “Adaptive Detection of Sensor Uncertainties and Failures,” Journal of Guidance, Control, and Dynamics. 34(6), 1605–1612
6. TERESHKOV, V. M., 2012, “An Intuitive Approach to Inertial Sensor Bias Estimation,” Cornell University Library, 4, 33-41
7. EL HALABI, N., GRACIA, M., BORROY, J., VILLA, J. L. Current phase comparison pilot scheme for distributed generation networks protection. Appl Energy 2011;88:4563–9.
8. SEDGHI, M., ALIAKBAR-GOLKAR, M., HAGHIFAM, M. R. Distribution network expansion considering distributed generation and storage units using modified PSO algorithm. Elect Power Energy Syst 2013;52:221–30.

9. SOROUDI, A., EHSAN, M., ZAREIPOUR, H. A practical ecoenvironmental distribution network planning model including fuel cells and non-renewable distributed energy resources. Renew Energy 2011;36:179–88.
10. Energy Networks Association (ENA): ‘Engineering Recommendation P2/6 – Security of Supply’, July 2006
11. NADERI, E., SEIFI, H., SEPASIAN, M. S. A dynamic approach for distribution system considering distributed generation. IEEE Trans Power Deliv 2012;27(3):1313–22.
12. CHANDRASEKAR, J., and BERNSTEIN, D. S., 2007, "Setpoint tracking with actuator offset and sensor bias - Probing the limits of integral control", IEEE Control Systems Magazine, 1, 61 – 68
13. QIAN, S.; GANG, T., 2012, "Adaptive control of piecewise linear systems with output feedback for output tracking", 51st IEEE Conference on Decision and Control (CDC), 1, 5422 - 5427
14. LI, S., and TAO, G., 2010, "Output Feedback MIMO MRAC Schemes with Sensor Uncertainty Compensation", 2010 American Control Conference, Baltimore, MD, USA, 1, 3229-3234
15. ROLIM, J. G., MACHADO, J. B., 2015, “A study of the use of corrective switching in transmission systems,” IEEE Trans. Power Syst., 14, 336-341
16. SHAO, W., VITTAL, V., 2015, “Corrective switching algorithm for relieving overloads and voltage violations,” IEEE Trans. Power Syst., 20(4), 1877-1885
17. BACHER, R. GLAVITSCH, H., 1988, “Loss reduction by network switching,” IEEE Trans. Power Syst., 3(2), 447-454
18. SOROUSH, M., FULLER, J. D., 2013, “Accuracies of optimal transmission switching heuristics based on DCOPF and ACOPF,” IEEE Trans. Power Syst., 29(2), 924 - 932
19. HOBBS, B. F., 2001, “Equilibrium market power modeling for large scale power systems,” Proc. Power Eng. Soc. Summer Meeting, 1, 558 -563