Amir, V., Jadid, S., Ehsan, M. (2019). Operation of multi Carrier microgrid (MCMG) considering demand response. Journal of Operation and Automation in Power Engineering, 7(1), 119-128. doi: 10.22098/joape.2019.3205.1262

V. Amir; Sh. Jadid; M. Ehsan. "Operation of multi Carrier microgrid (MCMG) considering demand response". Journal of Operation and Automation in Power Engineering, 7, 1, 2019, 119-128. doi: 10.22098/joape.2019.3205.1262

Amir, V., Jadid, S., Ehsan, M. (2019). 'Operation of multi Carrier microgrid (MCMG) considering demand response', Journal of Operation and Automation in Power Engineering, 7(1), pp. 119-128. doi: 10.22098/joape.2019.3205.1262

Amir, V., Jadid, S., Ehsan, M. Operation of multi Carrier microgrid (MCMG) considering demand response. Journal of Operation and Automation in Power Engineering, 2019; 7(1): 119-128. doi: 10.22098/joape.2019.3205.1262

Operation of multi Carrier microgrid (MCMG) considering demand response

^{1}Department of Electrical Engineering, Faculty of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

^{2}Department of Electrical Engineering, Faculty of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.

^{3}Department of Electrical Engineering, Faculty of Electrical Engineering, Sharif University of Science and Technology, Tehran, Iran.

Abstract

: In this paper, the operation of a future distribution network is discussed under the assumption of a multi-carrier microgrid (MCMG) concept. The new model considers a modern energy management technique in electricity and natural gas networks based on a novel demand side management (DSM) which the energy tariff for responsive loads are correlated to the energy input of the network and changes instantly. The economic operation of MCMG is formulated as an optimization problem. In conventional studies, energy consumption is optimized from the perspective of each infrastructure user without considering the interactions. Here, the interaction of energy system infrastructures is considered in the presence of energy storage systems (ESSs), small-scale energy resources (SSERs) and responsive loads. Simulations are performed using MCMG which consists of micro combined heat and power (CHP), photovoltaic (PV) arrays, energy storage systems (ESSs), and electrical and heat loads in grid-connected mode. Results show that the simultaneous operation of various energy carriers leads to a better MCMG performance. Moreover, it has been indicated that energy sales by multi sources to main grids can undoubtedly reduce the total operation cost of future networks.

[1] N. Saito, T. Niimura, K. Koyanagi, and R. Yokoyama, “Trade-off analysis of autonomous microgrid sizing with PV, diesel, and battery storage,” IEEE Power Energy Soc. Gen. Meeting, Calgary, AB, Canada, pp. 1–6, Jul. 2009.

[2] A. Ipakchi and F. Albuyeh, “Grid of the future,” IEEE Power Energy Mag., vol. 7, no. 2, pp. 52–62, Mar. 2009.

[3] U.S. Department of Energy, “The Smart Grid: An Introduction,” Commun, vol. 99, p. 48, 2010.

[4] H. Jiayi, J. Chuanwen, and X. Rong, “A review on distributed energy resources and microgrid,” Renew. Sustain. Energy Rev., vol. 12, no. 9, pp. 2472–2483, Dec. 2008.

[5] S. Bourbour, “Development of a Self-Healing strategy for future smart microgrids,” Bourbour, Soheil <http//researchrepository.murdoch.edu.au/view/author/Bourbour, Soheil.html> Dev. a Self-Healing Strateg. Futur. smart microgrids. Masters by Res. thesis, Murdoch Univ., 2016.

[6] S. Conti and S. A. Rizzo, “Probability of adequacy evaluation considering power output correlation of renewable generators in Smart Grids,” Int. J. Electr. Power Energy Syst., vol. 61, pp. 145–151, 2014.

[7] T. Krause, G. Andersson, K. Frohlich, and A. Vaccaro, “Multiple-energy carriers: modeling of production, delivery, and consumption, “Pros. IEEE, vol. 99, no. 1, pp. 15–27, Jan. 2011.

[8] M. Geidl, G. Koeppel, P. Favre-Perrod, B. Klockl, G. Andersson, and K. Frohlich, “Energy hubs for the future,” IEEE Power. Energy Mag, vol. 5, pp. 24–30., Jan.-Feb. 2007.

[9] C. Liu, M. Shahidehpour, and J. Wang, “Coordinated scheduling of electricity and natural gas infrastructures with a transient model for natural gas flow,” Chaos J., vol. 21, Jun. 2011.

[10] M. Geidl and G. Andersson, “Optimal power flow of multiple energy carriers,” IEEE Trans. Power Syst., vol. 22, no. 1, pp. 145–155, 2007.

[11] A. Sheikhi, A. M. Ranjbar, and H. Oraee, “Financial analysis and optimal size and operation for a multicarrier energy system,” Energy Build., vol. 48, pp. 71–78, May 2012.

[12] M. Moeini-Aghtaie, A. Abbaspour, M. Fotuhi-Firuzabad, and E. Hajipour, “A decomposed solution to multiple-energy carriers optimal power flow,” IEEE Trans. Power Syst., vol. 29, no. 2, pp. 707–716, 2014.

[13] M. Geidl, “Integrated Modeling and Optimization of Multi-Carrier Energy Systems”, Ph.D. dissertation, ETH Diss. 17141, 2007

[14] M. Geidl and G. Andersson, “Optimal coupling of energy infrastructures,” IEEE Lausanne POWERTECH, Proc, 2007, pp. 1398–1403.

[15] G.G. Florea, R.Dobrescu, and O.I. Rohat, “From Bridge to Control Hub – The Power Smart Grid Evolution”, 2nd Int. Conf Syst. Comput. Sci (ICSCS)., Villeneuve d'Ascq, France, August 26-27, 2013

[16] M.Shahidehpour, “Our aging power systems Infrastructure and life extension issues”, IEEE Power Energy Mag., pp 43-22. 2011

[17] N. Cai, N. T. T. Nga, and J. Mitra, “Economic dispatch in microgrids using multi-agent system,” North Amer. Power Symp. (NAPS), Champaign, IL, USA, pp. 1–5, Sep. 2012.

[18] Y. Xu and W. Liu, “Stable multi-agent-based load shedding algorithm for power systems,” IEEE Trans. Power Syst., vol. 26, no. 4, pp. 2006–2014, Nov. 2011.

[19] M. A. Abido, “Multi objective evolutionary algorithm for electric power dispatch problem,” IEEE Trans. Evol. Comput., vol. 10, no. 3, pp. 315–329, Jun. 2006.

[20] N.Nikmehr, S.N.Ravadanegh “Optimal Power Dispatch of Multi-Microgrids at Future Smart Distribution Grids” IEEE Trans on Smart Grid, vol. 5, no. 1, pp. 1949-3053,Jan. 2015.

[21] C. A. Hernandez-Aramburo, T. C. Green, and N. Mugniot, “Fuel consumption minimization of a microgrid,” IEEE Trans. Ind. Appl., vol. 41, no. 3, pp. 673–681, May/Jun. 2005.

[22] M. Jin, W. Feng, P. Liu, C. Marnay, and C. Spanos, “MOD-DR: Microgrid optimal dispatch with demand response,” Appl. Energy, vol. 187, pp. 758–776, 2017.

[23] K. De Brabandere, K. Vanthournout, J. Driesen, G.Deconinck, and R. Belmans, “Control of microgrids,” IEEE Power Eng. Soc. Gen. Meeting, Tampa, FL, USA, pp. 1–7, Jun. 2007

[24] S. Qingjun, G. Guangchao, and J. Quanyuan, “Real-time energy dispatchof standalone microgrid,” Proc. Chin. Soc. Elect. Eng, (CSEE), pp. 26–35. 2012.

[25] A. Zakariazadeh, S. Jadid, and P. Siano, “Multi-objective scheduling of electric vehicles in smart distribution system,” Energy Convers. Manage.,vol. 79, pp. 43–53, Mar. 2014.

[26] B. Zhao, X. Zhang, J. Chen, C. Wang, and L. Guo, “Operation optimization of standalone microgrids considering lifetime characteristics of battery energy storage system,” IEEE Trans. Sustain. Energy, vol. 4, no. 4, pp. 934–943, Oct. 2013.

[27] M. Yuyang, L. Jinling, and Z. Guodong, “Improved multi-objective particle optimization algorithm based scheduling optimization of gridconnected microgrid,” Elect. Power Sci. Eng., vol. 28, no. 7, pp. 15–20, 2012.

[28] D. Deng and G. Li, “Research on economic operation of grid-connected DC microgrid,” Int. Conf. Renew. Power Gener. (RPG 2015), p. 6 .-6 ., 2015.

[29] Y. Kinjyo et al., “Optimal operation of smart grid with fuel cell in isolated islands,” J. Int. Council Elect. Eng., vol. 2, no. 4, pp. 423–429, 2012.

[30] A. Xin, C. Minyong, and L. Zhili, “Based on chaos ant colony algorithm for the micro-grid environmental and economy operation,” J. Univ. North China Elect. Power J., vol. 36, no. 5, pp. 2–6, 2009.

[31] I. Koutsopoulos and L. Tassiulas, “Challenges in demand load control for the smart grid,” IEEE Netw., vol. 25, no. 5, pp. 16–21, Sep./Oct. 2011.

[32] C. Chen, S. Duan, T. Cai, B. Liu, and G. Hu, “Smart energy management system for optimal micro grid economic operation,” IET Renew. Power Gener., vol. 5, no. 3, pp. 258–267, 2011.

[33] J. Guerrero, M. Chandorkar, T. Lee, and P. Loh, “Advanced control architectures for intelligent microgrids—Part I: ecentralized and hierarchical control,” IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1254–1262, Apr. 2013.

[34] J. M. Guerrero, P. C. Loh, T.-L. Lee, and M. Chandorkar, “Advanced control architectures for intelligent microgrids—Part II: Power quality, energy storage, and AC/DC microgrids,” IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1263–1270, Apr. 2013.

[35] M. Varadarajan and K. S. Swarup, “Solving multi-objective optimal power flow using differential evolution,” IET Gen. Transm. Distrib., vol. 2, no. 5, pp. 720–730, Sep. 2008.

[36] A. Haghrah, M. Nazari-Heris, and B. Mohammadi-Ivatloo, “Solving combined heat and power economic dispatch problem using real coded genetic algorithm with improved Mühlenbein mutation,” Appl. Therm. Eng., vol. 99, pp. 465–475, 2016.

[37] M. Alipour, B. Mohammadi-Ivatloo, and K. Zare, “Stochastic Scheduling of Renewable and CHP-Based Microgrids,” IEEE Trans. Ind. Inf., vol. 11, no. 5, pp. 1049–1058, 2015.

[38] M. Nazari-Heris, S. Abapour, and B. Mohammadi-Ivatloo, “Optimal economic dispatch of FC-CHP based heat and power micro-grids,” Appl. Therm. Eng., vol. 114, pp. 756–769, 2017.

[39] A.Sheikhi, M.Rayati, S.Bahrami, and A.M.Ranjbar “Integrated Demand Side Management Game in Smart Energy Hubs”, ” IEEE Trans. Smart Grid, vol. 5, no. 1 Jan. 2015.