Demand Response Pricing Strategies for Islanded Microgrids


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


In this paper, Time of Use and Critical Peak Pricing policies are designed and their effects on optimized operation is evaluated. For this purpose, an optimal operation algorithm is employed and the relevant production costs are derived. As far as the Time of Use policy is concerned, such costs are observed to be different in two time intervals of the day, due to the loads changing effect and the production of renewable energy. Whereas in the Critical Peak Pricing Policy, a peak time interval is identified to set up different pricing rates. The optimization algorithm used to carry out the work described above minimizes the microgrid’s energy losses, the production costs and the Green House Gas emissions and controls the power exchange with the main distribution grid. Loads control is indeed also another control variable that may help to get these objectives through active demand.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Microgrids; Demand Response; Time of Use; Critical Peak Pricing

Full Text:

PDF


References


Siemens white paper, Microgrids.

N. D. Hatziargyriou, MICROGRIDS – Large Scale Integration of Micro-Generation to Low Voltage Grids, EU Contract ENK5-CT-2002-00610, Technical Annex, May 2002.

A. G. Tsikalanis, N. D. Hatziargyriou, Centralized Control for Optimizing Microgrids operation, IEEE “Microgrids” E.U research projects, October 2004.

A. Prudenzi, A. Silvestri, R. Lamedica, M.C. Falvo, M. Regoli, Residential DSM Actions Impact Prediction Through a Psychological Model of Electricity, IEEE Power and Energy Society General Meeting, July 22-26, 2012, San Diego, USA.

R. Palma-Behnke, C. Benavides, E. Aranda, J. Llanos, D. Sáez, Energy Management System for a Renewable based Microgrid with a Demand Side Management Mechanism, 2011 IEEE Symposium on Computational Intelligence Applications In Smart Grid ~ CIASG 2011~, April 11-13, 2011, Paris, France.

J. Xiao, J. Y. Chung, J. Li, R. Boutaba, J. Won-Ki Hong, Near Optimal Demand-Side Energy Management Under Real-time Demand-Response Pricing, The 5th International Conference on Network and Service Management ~CNSM 2010~, October 25-29, 2010, Niagara Falls, Canada.

G. Celli, F. Pilo, G. Pisano, G. G. Soma, Optimal Participation of a Microgrid to the Energy Market with an Intelligent EMS, The 7th International Power Engineering Conference ~IPEC 2005~, November 29 - December 2, 2005, Singapore.

W. Saad, Z. Han, H. V. Poor, T. Basar, Game Theoretic Methods for the Smart Grid, IEEE Signal Processing Magazine, Special Issue on Signal Processing Techniques for the Smart Grid, 2012.

I. Maity, S. Rao, Simulation and Pricing Mechanism Analysis of a Solar-Powered Electrical Microgrid, IEEE System Journal, vol. 4 n. 3, September 2010, pp. 275 – 284.

J. A. Hausman, D. A. Wise, Chapter 1, In The Residential Electricity Time-of-Use Pricing Experiments: What Have We Learned?, (Chicago: University of Chicago Press, 1985, 11-45).

S. Favuzza, G. Graditi, M.G. Ippolito, F. Massaro, R. Musca, E. Riva Sanseverino, G. Zizzo, Transition of a distribution system towards an active network. Part I: Preliminary design and scenario perspectives, The 3rd International Conference on Clean Electrical Power: Renewable Energy Resources Impact ~ICCEP 2011~ June 11-13, 2011, Ischia, Italy.

V. Cosentino, S. Favuzza, G. Graditi, M. G. Ippolito, F. Massaro, E. R. Sanseverino, G. Zizzo, Transition of a distribution system towards an active network. Part II: Economical analysis and selected scenario, The 3rd International Conference on Clean Electrical Power: Renewable Energy Resources Impact ~ICCEP 2011~ June 11-13, 2011, Ischia, Italy.

V. Cosentino, S. Favuzza, G. Graditi, M. G. Ippolito, F. Massaro, E. R. Sanseverino, G.Zizzo, Smart renewable generation for an islanded system. Technical and economic issues of future scenarios, Energy, vol. 39 n.1, March 2012, pp. 196 – 204.

M. H. Albadi, E. F. El-Saadany , Demand Response in Electricity Markets:An Overview, IEEE Power Engineering Society General Meeting, 2007, p1-5, June 2007.

A. Bagherian, S.M. Moghaddas Tafreshi, A developed Energy Management System for a Microgrid in the Competitive Electricity Market, IEEE System Journal, vol.4 n.3, September 2010, pp. 275 – 284,

Y. Tang, H. Song, F. Hu, Y Zou, Investigation on TOU pricing principles, IEEE/PES Transmission and Distribution Conference & Exhibition: Asia and Pacific Dalian, August 14-18, 2005, Dailan, China.

J. Torriti, Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy, Energy, vol. 44, May 2012, pp. 576 – 583.

H. Weihao, C. Zhe, B. Bak-Jensen, Optimal Load Response to Time-of-Use Power Price for Demand Side Management in Denmark, Power and Energy Engineering Conference ~APPEEC 2010~ March, 2010, Asia-Pacific.

M. Filippini, Short and long-run time-of-use price elasticity in Swiss residential electricity demand, CEPE Working Paper, n. 76, July 2010, pp. 1-21.

Z. Wang, F. Li, Critical Peak Pricing Tariff Design for Mass Consumers in Great Britain, IEEE Power and Energy Society General Meeting ~IEEE PES 2011~ July 24-28, 2011, Detroit, USA.

K. Deb, S. Agrawal, A. Pratap, T.A. Meyarivan, Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II, In Springer (Ed.), Parallel Problem Solving from Nature VI – Lecture Notes in Computer Science, 1917 (Paris: Springer-Verlag, 2000, 849-858).

B.F. Hobbs F.A.M. Rijkers, Modeling strategic generator behavior with conjectured transmission price responses in a mixed transmission pricing system: formulation, IEEE Transactions on Power Systems, vol. 19 n.2, May 2004, pp. 707-717.

R. P. J. Benvindo, A. M. Cossi, J.R.S. Mantovani, Multiobjective Short-Term Planning of Electric Power Distribution Systems Using NSGA-II, Journal of Control, Automation and Electrical Systems 2013, April 2006, pp. 1-14.

B. Tomoiagă, M. Chindriş, A. Sumper, A. Sudria-Andreu, R. Villafafila-Robles. Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II, Energies, vol. 6 n.3, March 2013, pp. 1439-1455.

H. Xianchao, G.A. Taylor, Service restoration of distribution systems based on NSGA-II, 45th Universities Power Engineering Conference ~UPEC 2010~, August 31 – September 3, 2010, Cardiff, UK.

D. Buoro, M. Casisi, A. De Nardi, P. Pinamonti, P. Reini, Multicriteria optimization of a distributed energy supply system for an industrial area, Energy vol. 58, September 2013, pp. 128–137.

A. Saraswat, A. Saini, A.K. Saxena, A novel multi-zone reactive power market settlement model: A pareto-optimization approach, Energy, vol. 51, March 2013, pp. 85–100.

S. Özyöna, H. Temurtas¸ B. Durmus, G. Kuvat, Charged system search algorithm for emission constrained economic power dispatch problem, Energy, vol. 46, October 2012, pp. 420–430.

A. Zangeneh, S. Jadid, A. Rahimi-Kian. A fuzzy environmental-technical-economic model for distributed generation planning. Energy, vol. 36, May 2011, pp.3437–3445.

A. Soroudi , Robust optimization based self scheduling of hydro-thermal Genco in smart grids, Energy, vol. 61, November 2013, pp. 262-271.

J. Kozioł, J. Czubala, An optimisation strategy using probabilistic and heuristic input data for fuel feeding boilers with regard to the trading effects of CO2 allowances, Energy 2013; 62:82-7.

S. Wu, Z. Yu, X. Feng, G. Liu, C. Deng, K.H. Chu, Optimization of refinery hydrogen distribution systems considering the number of compressors. Energy, vol. 62, December 2013, pp. 185-195.

G. Corso, M.L. Di Silvestre, M.G. Ippolito, E. Riva Sanseverino, G. Zizzo, Multi-objective long term optimal dispatch of Distributed Energy Resources in micro-grids, 45th Universities Power Engineering Conference ~UPEC 2010~, August 31 – September 3, 2010, Cardiff, UK.

A. Campoccia, E. Riva Sanseverino, G. Zizzo, Considering safety issues in minimum losses reconfiguration for MV distribution networks, ETEP, vol. 19 n.5, July 2009, pp- 642-654.

A. Campoccia, E. Riva Sanseverino, G. Zizzo, A Montecarlo Approach for a Study on the Impact of the domestic installation of Small PV and Thermal Solar Systems on the grid, 7th World Energy System Conference ~WESC 2008~, Romania, 2008, pp. 1-6.

M.G. Ippolito, M.L. Di Silvestre, E. Riva Sanseverino, G. Zizzo, G. Graditi, Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios, Energy, vol. 64 n.1, January 2014, pp. 648-662.

E. Riva Sanseverino, M. L. Di Silvestre, G. Zizzo, R. Gallea, N. N. Quang, A Self-Adapting Approach for Forecast-Less Scheduling of Electrical Energy Storage Systems in a Liberalized Energy Market, Energies, vol. 6, November 2013, pp. 5738–5759.

M.L. Di Silvestre, M.G. Ippolito, E. Riva Sanseverino, E. Telaretti, G. Zizzo, G. Graditi, Multi-objective Strategies for Management and Design of Distributed Electric Storage Systems in a Mediterranean Island, The 39th Annual Conference of the IEEE Industrial Electronics Society ~IECON 2013~, Wien, Austria, November 10-13, 2013, pp. 7627-7633.

G. Graditi, M.L. Di Silvestre, M.G. Ippolito, E. Riva Sanseverino, G. Zizzo, Robust multi-objective optimal dispatch of distributed energy resources in micro-grids, IEEE PowerTech, 2011, June 19-23, Trondehim, Norway.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize