Abstract
Concerns toward the continued availability of reliable grid-based power and global warming and depleting oil reserves have made a decentralized power delivery model seeking energy from renewable energy resources an inevitability. Photovoltaic power generating modules (PV), diesel generators (DG), battery energy storage systems (BESS) are emerging generation/storage technologies. The present work depicts the economic analysis and environmental impacts of a decentralized or distributed power delivery system integrated with hybrid distributed energy resources (DERs). The model for decentralized power delivery system has been developed employing a modified form of the differential evolution algorithm implemented within MATLAB® Simulink considering load demand scenario for a locality in India. Optimal power generation has been made using different sets of distributed energy resources, pertaining to cost estimation and respective environmental impact. The results show a cost effective power delivering network for hybrid DG-BESS, but PV-BESS is more beneficial from the environmental perspective.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jhonson, R.A., Agrawal, A.N., Chubb, T.J.: Simulink Model for Economic Analysis and En-vironmental Impacts of a PV With Diesel-Battery System for Remote Villages. IEEE Transactions on Power System 20(2), 692–700 (2005)
Fyfe, W.S., Powell, M.A., Hart, B.R., Ratanasthien, B.: A global crisis: Energy in the future. Nonre-newable Resources, 187–195 (1993)
Lasserter, R., Akhil, A., Marnay, C., Stephens, H., Dagle, J., Guttromson, R., Meliopoulous, A.S., Yinger, R., Eto, J.: The CERTS Microgrid Concept, White paper for CERTS (2002)
Bhattacharyya, S.C.: Energy access problem of the poor in India: Is rural electrification a remedy? Energy Policy 34(18), 3387–3397 (2006)
Hernandez-Aramburo, C.A., Green, T.C., Mugniot, N.: Fuelconsumption minimization of a microgrid. IEEE Trans. Ind. Appl. 41(3), 673–681 (2005)
Marnay, C., Venkataramanan, G., Stadler, M., Siddiqui, A., Firestone, R., Chandran, B.: Optimal Technology Selection and Operation of Commercial-Building Microgrids. IEEE Trans. Power Systems 23(3), 975 (2008)
Michiel, H., Petra, H., Bouwmans, I.: Socio-Technical Complexity in Energy Infrastruc-tures Conceptual Framework to Study the Impact of Domestic Level Energy Generation, Storage and Exchange. In: IEEE Int. Conf. Systems Man, and Cybernetics, October 8-11 (2006)
Maribua, M., Firestone, K., Ryan, M., Marnay, C., Siddiquica, A.: Distributed energy resources market diffusion model. Elsevier Energy Policy, 4471–4484 (April 2007)
Patterson, W.D., Whitham, J.W.: The Virtual Power Plant, Standard & Poor’s Utilities & Perspectives Special Technology Issue. McGraw-Hill Co. (1998)
Marin, F., Rey, A.B., Guerrero, A., de Ruz, F.A.: A future microgrid implementation based on renewable distributed resources for a clean green energy production. In: Proc. IEEE PES Winter Meeting, CERTS, pp. 305–308 (2002)
Miranda, V., Srinivasan, D., Proenca, L.M.: Evolutionary Computation in power system. International Journal of Electric power & Energy System 20(2), 89–98 (1998)
Farhat, I.A., EI-Hawary, M.E.: Optimization methods applied for solving the short-term hydrothermal co–ordination problem. Electric Power System Research 79(9) (September 2009)
Mandal, K.K., Basu, M., Chakraborty, N.: Particle swarm optimization – based fuzzy satisfying method for economic environmental dispatch of hydrothermal power systems. International Journal of Automation and Control (3), 216–239 (2009)
Chen-Ching, L., Dillon, T.: State of the art of expert system application to power systems. International Journal of Electric Power & Energy System 14(2-3), 95–96 (1992)
AlRashidi, M.R., EI- Hawary, M.E.: Application of computational intelligence techniques for solving the revived optimal power flow problem. Electric Power System Research 79(4), 694–702 (2009)
Marnay, C., Robio, F., Siddiqui, A.: Fuel Consumption Minimization of Microgrid. In: Proc. IEEE PES Winter Meeting, pp. 150–153 (2001)
Mallipeddi, R., Suganthan, P.N.: Efficient Constraint Handling for Optimal Reactive Power Dispatch Problem. Swarm and Evolutionary Computation 5, 28–36 (2012)
Mallipeddi, R., Suganthan, P.N., Pan, Q.K., Tasgetiren, M.F.: Differential evolution algorithm with ensemble of parameters and mutation strategies. Applied Soft Computing 11(2), 1679–1696 (2011)
Meliopoulos, A.P.S.: Challenges in simulation and design of grids. In: Proc. IEEE PES Winter Meeting, pp. 309–314 (2002)
Marin, F., Rey, A.B., Guerrero, A., de Ruz, F.A.: A future microgrid implementation based on renewable distributed resources for a clean green energy production. In: Proc. IEEE PES Winter Meeting, CERTS, pp. 305–308 (2002)
Marnay, C., Robio, F., Siddiqui, A.: Fuel Consumption Minimization of Microgrid. In: Proc. IEEE PES Winter Meeting, pp. 150–153 (2001)
Meliopoulos, A.P.S.: Challenges in simulation and design of grids. In: Proc. IEEE PES Winter Meeting, pp. 309–314 (2002)
Chen, C., Duan, S., Cai, T., Liu, B., Hu, G.: Smart Energy Management System for Optimal Microgrid Economic Operation. IET Renewable Power Generation 5(3), 258–267 (2011)
Cooper, K., Dasgupta, A., Kennedy, K., Koelbel, C.: New Grid Scheduling and Re-Scheduling Methods in GRADs Project. In: Proceedings on 18th International Symposium on Parallel and Distributed Processing
Shi, R., Cui, C., Su, K., Zain, Z.: Comparison Study of Two Meta-Heuristic Algorithms with their Applications to Distributed Generation Planning. Energy Procedia 12, 245–252 (2011)
Chen, C., Duan, S., Cai, T., Liu, B., Hu, G.: Optimal Allocation and Economic Analysis of Energy storage System in Microgrids. IEEE Transactions on Power Electronics 26(10), 2762–2773
Niknam, T., Golestaneh, F., Shafiei, M.: Probabilistic Energy Management of a Renewable Microgrid with Hydrogen storage using Self adaptive Charge Search Algorithm. Energy (2012)
Zoka, Y., Sugimoto, A., Yorino, N., Kawahara, K., Kubokawa, J.: An economic evaluation for an autonomous independent network of distributed energy resources. Electric Power System Research 77(7), 831–838 (2007)
Stand-Alone Photovoltaic Systems: A Handbook of Recommended Design Practices (Revised), Sandia National Labs, Albuquerque (1995)
Dawson, F.P., Dewan, S.B.: Remote diesel generator with photovoltaic cogeneration. In: Proc. Solar Conf., Denver, CO, pp. 269–274 (September 1989)
Farhat, F.A., Simoes, M.G.: Itegration of Alternative Sources of Energy. John Wiley & Sons, Inc. (2006)
Wikipedia contributors. List of countries by greenhouse gas emissions, http://en.wikipedia.org/wiki/List_of_countries_by_greenhouse_gas_emissions
http://www.retscreen.net/ang/emission_factors_for_diesel_generator_image.php
Lampinen, J.: A Constraint Handling Approach for Differential Evolution Algorithm. In: Proc. of the Congress on Evolutionary Computation, vol. 2, pp. 1468–1473 (2002)
Mezura–Montes, E., Velazquez–Reyes, J., Coello Coello, C.A.: Modified Differential Evolution of Constrained Optimization. IEEE Congress on Evolutionary Computation Sheraton (July 2006)
Bhattacharya, A.B., Kar, S.K., Bhattacharya, R.: Diffuse Solar Radiation and associated meteorological pa-rameters in India. Annales Geophysicae 14(10), 1051–1059 (1994)
Kolhe, M., Kolhe, S., Joshi, J.C.: Economic viability of stand-alone solar photovoltaic system in comparison with diesel-powered system for India. Energy Economics 24(2), 155–165 (2002)
Hunt, G.W.: Operational experience and performance characteristics of a valve-regulated lead–acid bat-tery energy-storage system for providing the customer with critical load protection and energy-management benefits at a lead-recycling plant. Journal of Power Sources 78, 171–175 (1999)
Dvoskin, D., Heady, E.O.: Commodity Prices and Resource Use Under Various Energy Alter-natives in Agriculture. Western Journal of Agricultural Economics, 53–62 (1977)
Private communication: E & M State Head Office, IIT kharagpur, West Bengal, India
Hybrid mini-grids for rural electrification: lessons learned. USAID: Alliance for rural electrification, http://www.ruralelec.org/fileadmin/DATA/Documents/06_Publications/Position_papers/ARE_Mini-grids_-_Full_version.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Som, T., Chakraborty, N. (2013). A Soft-Computing Based Approach to Economic and Environmental Analysis of an Autonomous Power Delivery System Utilizing Hybrid Solar – Diesel – Electrochemical Generation. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-03753-0_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03752-3
Online ISBN: 978-3-319-03753-0
eBook Packages: Computer ScienceComputer Science (R0)