|4/2014 - 4|
Incentive Driven Distributed Generation Planning with Renewable Energy ResourcesKAUR, S. , KUMBHAR, G. B.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (837 KB) | Citation | Downloads: 397 | Views: 1,500|
distributed power generation, heuristic algorithms, optimization, power generation planning, sustainable development
power(10), energy(10), planning(9), optimization(9), generation(9), distributed(9), distribution(8), systems(6), system(6), search(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 21 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04004
Web of Science Accession Number: 000348772500004
SCOPUS ID: 84921651204
Renewable DGs may not be economically viable due to the stochastic generation and huge capital investment, but are an inevitable choice for sustainable energy development and future planning. An appropriate incentive scheme for clean Distributed Generation (DG) technologies is able to address this issue in an economical manner and is considered in proposed distributed generation planning model. The proposed model minimizes the annualized cost with Emission Offset Incentive (EOI) and the penalty for Green-house Gas (GHG) emissions. A meta-heuristic approach with dynamic tuning of control parameters is adopted to improve the success and the convergence rate of optimal solutions. The algorithm provides the optimal solution in terms of type, size, and location of DG. The proposed technique is implemented on IEEE 33-bus system. Proposed model helps the Distribution Network Operators (DNOs) to decide the proper DG technology from an economic prospective for eco-friendly energy planning.
|References|||||Cited By «-- Click to see who has cited this paper|
| A. Keane, L. F. Ochoa, C. Borges, G. Ault, A. Alarcon, R. Currie, F. Pilo, C. Dent, G. P. Harrison, "State of the art techniques and challenges ahead for DG planning and optimization," IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 1493-1502, May 2013. |
[CrossRef] [Web of Science Times Cited 81] [SCOPUS Times Cited 98]
 P. S. Georgilakis, N. D. Hatziargyriou, "Optimal distributed generation placement in power distribution Network: Models, methods and future", IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 3420-3428, 2013.
[CrossRef] [Web of Science Times Cited 154] [SCOPUS Times Cited 199]
 W. El-Khattam, K. Bhattacharya, Y. Hegazy, M. M. A. Salama, "Optimal investment planning for distributed generation in a competitive electricity market," IEEE Transactions on Power Systems, vol. 19, no. 3, pp. 1674-1684, 2004.
[CrossRef] [Web of Science Times Cited 201] [SCOPUS Times Cited 315]
 A. Zangeneh, S. Jadid, A. R. Kian, "Promotion strategy of clean technologies in distributed generation expansion planning," Renewable Energy, vol. 34, no. 12, pp. 2765-2773, 2009.
[CrossRef] [Web of Science Times Cited 42] [SCOPUS Times Cited 52]
 W. S. Tan, M.Y. Hassan, H. A. Rahman, M. P. Abdullah, F. Hussin, "Multi-distributed generation planning using hybrid partical swarm optimization - gravitational search algorithm inclusing voltage rise issue," Generation, Transmission & Distribution, IET, vol. 7, no. 9, pp. 929-942, 2013.
[CrossRef] [Web of Science Times Cited 25]
 T. Niknam, S. I. Taheri, J. Agahei, S. Tabatabaei, M. Nayeripour, "A modified mating optimization algorithm for multiobjective placement of renewable energy resources," Applied Energy, vol. 88, no. 12, pp. 4817-4830, 2011.
[CrossRef] [Web of Science Times Cited 74] [SCOPUS Times Cited 87]
 M. A. Abdullah, A. P. Agalgaonkar, K. M. Muttaqi, "Quantification of emission reduction from electicity network with the integration of renewable resources," in Proc. IEEE Power and Energy Society General Meeting, 2011 , pp. 1-7.
[CrossRef] [SCOPUS Times Cited 6]
 A. Soroudi, M. Eshan, H. Zareipour, "A practical eco-environmental distribution network planning model including fuel cells and non-renewable distributed energy sources," Renewable Energy, vol. 36, no. 1, pp. 179-188, 2011.
[CrossRef] [Web of Science Times Cited 47] [SCOPUS Times Cited 55]
 R. Ebrahimi, M. Eshan, H. Nouri, "A profit-centric strategy for distributed generation planning considering time varying voltage dependent load demand," International Journal of Electrical Power & Energy Systems, vol. 44, no. 1, pp. 168-178, 2013.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]
 G. P. Harrison, A. Piccolo, P. Siano, A. R. Wallace, "Hybrid GA and OPF evaluation of network capacity for distributed generation connections," Electric Power System Research., vol. 78, no. 3, pp. 392-398, 2008.
[CrossRef] [Web of Science Times Cited 102] [SCOPUS Times Cited 131]
 Y.M. Atwa, E. F. E. Saadany, M. M. A. Salama, R. Seethapathi, "Optimal renewable resources mix for distribution system energy loss minimization," IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 360-370, 2010.
[CrossRef] [Web of Science Times Cited 324] [SCOPUS Times Cited 430]
 P. Siano, L.F. Ochoa, G.P. Harrison, A. Piccolo, "Assessing the strategic benefits of distributed generation ownership for DNOs," Generation, Transmission & Distribution, IET, vol. 3, no. 3, pp. 225-236, March 2009.
[CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 70]
 Z. W. Geem, J. H. Kim, G. V. Loganathan, "A New Heuristic Optimization Algorithm: Harmony Search," SIMULATION, vol. 76, no. 2, pp. 60-68, 2001.
[CrossRef] [SCOPUS Times Cited 2180]
 K. S. Lee, Z. W. Geem, S. Lee, K. Bae, "The harmony search heuristic algorithm for discrete structural optimization," Engineering Optimization, vol. 37, no. 7, pp. 663-684, 2005.
[CrossRef] [Web of Science Times Cited 167] [SCOPUS Times Cited 202]
 S. Das, A. Mukhopadhyay, A. Roy, A. Abraham, B. K. Panigrahi, "Exploratory Power of the Harmony Search Algorithm: Analysis and Improvements for Global Numerical Optimization," IEEE Transactions on System Man and Cybernetics, Part B: Cybernetics, vol. 41, no. 1, pp. 89-106, 2011.
[CrossRef] [Web of Science Times Cited 96] [SCOPUS Times Cited 137]
 M. Mahdavi, M. Fesanghary, E. Damangir, "An improved harmony search algorithm for solving optimization problems," Applied Mathematics and Computation, vol. 188, no. 2, pp. 1567-1579, 2007.
[CrossRef] [Web of Science Times Cited 521] [SCOPUS Times Cited 892]
 K. Nekooei, M. M. Farsangi, H. Nezamabadi-Pour, K. Y. Lee, "An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems," IEEE Transactions on Smart Grid, vol. 4, no. 1, pp. 557-567, 2013.
[CrossRef] [Web of Science Times Cited 54] [SCOPUS Times Cited 67]
 K. Zou, A. P. Agalgaonkar, K. M. Muttaqi, S. Perera, "Distribution System Planning With Incorporating DG Reactive Capability and System Uncertainties," IEEE Transactions on Sustainable Energy, vol. 3, no. 1, pp. 112-123, 2012.
[CrossRef] [Web of Science Times Cited 98] [SCOPUS Times Cited 138]
 N. Jain, S. N. Singh, S. C. Srivastava, "A Generalized Approach for DG Planning and Viability Analysis Under Market Scenario," IEEE Transactions on Industrial Electronics, vol. 60, pp. 5075-5085, 2013.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 38]
 D. Olivera, P. Feltrin, "Investigation of the relationship between load and load factors for a Brazillian electric utility," in Proc. Electric utility Transmission and distribution conference and exposition, Latin America, 2006, pp. 1-6
[CrossRef] [SCOPUS Times Cited 3]
 N. Jain, S.N. Singh, S. C. Srivastava, "Planning and impact evaluation of distributed generators in Indian context using Multi-Objective Particle Swarm Optimization," in Proc. IEEE Power and Energy Society General Meeting, 2011, pp. 1-8.
[CrossRef] [SCOPUS Times Cited 14]
 L. R. A. Deepa, N. Praveen, "Impact of Climate change and adaptation to green technology in India," in Proc. Recent Advances in Space Technology Services and Climate Change (RSTSCC), 2010, pp. 460-465.
[CrossRef] [SCOPUS Times Cited 1]
 A. M. Jain, B. E. Kushare, "Techno-economics of solar wind hybrid system in Indian context: A case study," in Proc IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007, pp. 39-44.
Web of Science® Citations for all references: 2,084 TCR
SCOPUS® Citations for all references: 5,123 TCR
Web of Science® Average Citations per reference: 87 ACR
SCOPUS® Average Citations per reference: 213 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2017-06-26 15:18 in 158 seconds.
Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.