Wind Generator Allocation in Distribution Systems Considering Uncertainty In Generation And Time Varying Load Profile

K. Ravindra*, R. Srinivasa Rao**, SVL Narasimham***
* Assistant Professor, Electrical Engineering Department, Jawaharlal Nehru Technological University, Kakinada, India.
** Associate Professor, Electrical Engineering Department, Jawaharlal Nehru Technological University, Kakinada, India.
*** Professor of Computer Science and Engineering, School of IT, Jawaharlal Nehru Technological University, Hyderabad, India.
Periodicity:December - February'2013
DOI : https://doi.org/10.26634/jcir.1.1.2193

Abstract

In this paper, a simultaneous approach to choose optimal number of wind based Distributed Generation (DG) units and their locations is proposed with an objective of minimizing annual energy loss in a distribution network. Most of the methods developed so far for optimal allocation of DG units assumed constant DG output and network load profile which is unreal. Optimal DG sizes and locations found with above assumptions would not lead to minimum annual energy loss when employed in realistic scenario where there is uncertainty in the DG output power generation and network loads have a time-varying load profile. In this work, wind based generation units are considered as the DG sources for allocation. In order to gauge the effect of uncertainty in wind power generation and time-varying load profile on optimal DG allocation problem, a meta-heuristic method which employs Harmony Search algorithm is used to solve multiple wind based DG units. Performance and effectiveness of the proposed method is demonstrated by carrying out simulations on 33-bus and 69-bus radial distribution systems. Simulation results indicate that consideration of uncertainty in wind power generation and time varying load profile significantly affects location and size of DG resources in distribution systems.

Keywords

Wind based Distributed generation, Time-varying load profile, Annual energy loss, Harmony Search Algorithm.

How to Cite this Article?

K. Ravindra, R. Srinivasa Rao and SVL Narasimham (2013). Wind Generator Allocation In Distribution Systems Considering Uncertainty In Generation And Time Varying Load Profile. i-manager’s Journal on Circuits and Systems, 1(1), 1-9. https://doi.org/10.26634/jcir.1.1.2193

References

[1]. Ackermann, T., Anderson, G., and Soder, L. (2001). Distributed generation: Definition. Elect. Power Syst. Res., 57(3), 195–204.
[2]. Rajkumar Viral, Khatod, D.K. (2012). Optimal planning of distributed generation systems in distribution system: A review. Renewable and Sustainable Energy Reviews, 16(7), 5146-5165.
[3]. Acharya ,N., Mahat, P., Mithulananthan, N. (2006). An analytical approach for DG allocation in primary distribution network. Int. J. Electr. Power Energy Syst., 28(10), 669–678.
[4]. Tuba Gözel, M., Hakan Hocaoglu. (2009). An analytical method for the sizing and siting of distributed generators in radial systems. Electric Power Systems Research, 79(6), 912-918.
[5]. Abu-Mouti, F.S, EL-Hawary M.E. (2011). Optimal Distributed Generation Allocation and Sizing in Distributed Systems via Artificial Bee Colony Algorithm. IEEE Transactions on Power Delivery, 26(4), 2090-2101.
[6]. Moradi, M.H., Abedini, M. (2012). A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. International Journal of Electrical Power & Energy Systems, 34(1), 66-74.
[7]. Duong Quoc Hung and Nadarajah Mithulananthan. (2013). Multiple Distributed Generators Placement in Primary Distribution Networks for Loss Reduction. IEEE Transactions on Industrial Electronics, 60(4), 1700-1708.
[8]. Caisheng Wang, Nehrir, M.H. (2004). Analytical approaches for optimal placement of distributed generation sources in power systems. IEEE Transactions on Power Systems, 19(4), 2068- 2076.
[9]. Dan Zhu, Robert P. Broadwater, Kwa-Sur Tam, Rich Seguin, Haukur Asgeirsson. (2006). Impact of DG Placement on Reliability and Efficiency With Time-Varying Loads. IEEE Transactions on Power Systems, 21(1), 419-427.
[10]. Subcommittee P.M. (1979). IEEE Reliability Test System. IEEE transactions on Power Apparatus and Systems, PAS-98(6), 2047-2054.
[11]. Ravindra Kollu, Srinivasa Rao Rayapudi, Narasimham S V L and Krishna Mohan Pakkurthi. (2012). Mixture probability distribution functions to model wind speed distributions. International Journal of Energy and Environmental Engineering, 3(27), doi:10.1186/2251-6832-3-27.
[12]. Singh, C., Lago-Gonzales, A. (1989). Improved algorithms for multi-area reliability evaluation using decomposition-simulation approach. IEEE Transactions on Power System, 4(1), 321–328.
[13]. Mekhamer, S.F, Soliman, S.A, Mostafa, M.A, El-Hawary, M.E. (2001). Load flow solution of radial distribution feeders: a new approach. PPT2001, 3, 1-5.
[14]. Chakravorty M., Das D. (2001). Voltage stability analysis of radial distribution networks. Electrical Power and Energy Systems, 23(2), 129-135.
[15]. Geem, Z.W., Kim, J.H., Loganathan, G.V. (2001). A new heuristic optimization algorithm: harmony search. Simulation, 76(2), 60–68.
[16]. Venkatesh, B., Rakesh Ranjan, Gooi, H. B. (2004). Optimal reconfiguration of radial distribution systems to maximize loadability. IEEE Trans. on Power Systems, 19(1), 260-266.
[17]. Savier, J. S., Das, D. (2007). Impact of Network Reconfiguration on Loss Allocation of Radial Distribution Systems. IEEE Trans. on Power Delivery, 2(4), 2473-2480.
[18]. Srinivasa Rao, R., Ravindra, K., Satish, K., Narasimham, S. V. L. (2013). Power Loss Minimization in Distribution System using Network Reconfiguration In the Presence of Distributed Generation. IEEE Transactions on Power Systems, 28(1), 317-325.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.