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An Economic Demand Management Strategy for Passive Consumers Considering Demand-Side Management Schemes and Microgrid Operation

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Microgrids

Part of the book series: Power Systems ((POWSYS))

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Abstract

In a modern power system, a consumer can economically meet its demand by choosing the right strategy. The first and most convenient option, but obviously not the economic one, is to buy energy directly from the different electricity markets. The next choice, to minimize costs, is to supply electricity using the local generations. The latter can evoke the concept of microgrid if self-sufficiency exists. Meanwhile, alongside these choices, demand-side management (DSM) schemes are efficient supplementary solutions in the economic provision of demand. In fact, the efficient strategies of microgrids and DSM can be applied to the customer side to enhance loads flexibility. Despite the provision of significant advantages, the economic operation of microgrids is one of the most critical challenges in the power system. In response to this challenge, DSM, which is an efficient strategy that has provided considerable potentials in the restructured power systems, can be the resolution. In this chapter, the impact of customers’ participation level in demand response (DR) programs alongside its operation in the form of microgrid are investigated from the economic point of view. An approach is proposed to evaluate the installation and operation costs of a microgrid versus DR cost to opt an economic demanding strategy for a large-scale consumer. Two DR programs including price-based DR (PDR) and incentive-based DR (IDR) are considered in the studies. The proposed model is implemented in three real case studies that are investigated through simulations to study the different aspects of the problem. The results illustrate significant benefits that are obtained by applying the proposed economic management.

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References

  1. Zia, M. F., Elbouchikhi, E., & Benbouzid, M. (2018). Microgrids energy management systems: A critical review on methods, solutions, and prospects. Applied Energy, 222, 1033–1055.

    Article  Google Scholar 

  2. Hosseini Imani, M., Niknejad, P., & Barzegaran, M. R. (2018). The impact of customers’ participation level and various incentive values on implementing emergency demand response program in microgrid operation. Electrical Power and Energy Systems, 96, 114–125.

    Article  Google Scholar 

  3. Shen, J., Jiang, C., Liu, Y., & Qian, J. (2016). A microgrid energy management system with demand response for providing grid peak shaving. Electric Power Components and Systems, 44(8), 843–852.

    Article  Google Scholar 

  4. Aghajani, G. R., Shayanfar, H. A., & Shayeghi, H. (2017). Demand-side management in a smart micro-grid in the presence of renewable generation and demand response. Energy, 126, 622–637.

    Article  Google Scholar 

  5. Kumar, D., Verma, Y. P., & Khanna, R. (2019). Demand response-based dynamic dispatch of microgrid system in hybrid electricity market. International Journal of Energy Sector Management, 13(2), 318–340.

    Article  Google Scholar 

  6. Hosseini Imani, M., Jabbari Ghadi, M., Ghavidel, S., & Li, L. (2018). Demand response modeling in microgrid operation: A review and application for incentive-based and time-based programs. Renewable and Sustainable Energy Reviews, 94, 486–499.

    Article  Google Scholar 

  7. Nguyen, A. D., Bui, V. H., Hussain, A., Nguyen, D. H., & Kim, H. M. (2018). Impact of demand response programs on optimal operation of multi-microgrid system. Energies, 11(6) 1452, 1–18.

    Article  Google Scholar 

  8. Han, X., Zhang, H., Yu, X., & Wang, L. (2016). Economic evaluation of grid-connected micro-grid system with photovoltaic and energy storage under different investment and financing models. Applied Energy, 184, 103–118.

    Article  Google Scholar 

  9. Zakariazadeh, A., Jadid, S., & Siano, P. (2014). Smart microgrid energy and reserve scheduling with demand response using stochastic optimization. Electrical Power and Energy Systems, 63, 523–533.

    Article  Google Scholar 

  10. Zunnurain, I., Maruf, M. N. I., Rahman, M. M., & Shafiullah, G. M. (2018). Implementation of advanced demand-side management for microgrid incorporating demand response and home energy management system. Infrustructures, 3(4), 1–25.

    Google Scholar 

  11. Jin, M., Feng, W., Marrnay, C., & Spanos, C. (2018). Microgrid to enable optimal distributed energy retail and end-user demand response. Applied Energy, 210, 1321–1335.

    Article  Google Scholar 

  12. Ferruzzi, G., Graditi, G., Rossi, F., & Russo, A. (2015). Optimal operation of a residential microgrid: The role of demand-side management. Intelligent Industrial Systems, 1, 61–82.

    Article  Google Scholar 

  13. Yang, X., Zhang, Y., He, H., & Weng, G. (2019). Real-time demand-side management for a microgrid considering uncertainties. IEEE Trans. on Smart Grid, 10(3), 3401–3414.

    Article  Google Scholar 

  14. Department of Energy, Benefits of demand response in electricity markets and recommendations for achieving them, a report to the United States congress pursuant to section 1252 of the energy policy act of 2005, 2006.

    Google Scholar 

  15. Hussain, M., & Gao, Y. (2018). A review of demand response in an efficient smart grid environment. The Electricity Journal, 31(5), 55–63.

    Article  Google Scholar 

  16. Siano, P. (2014). Demand response and smart grids- a survey. Renewable and Sustainable Energy Reviews, 30, 461–478.

    Article  Google Scholar 

  17. Nicolson, M. L., Fell, J., & Huebner, M. (2018). Consumer demand for time of use electricity tariffs: A systematized review of the empirical evidence. Renewable and Sustainable Energy Reviews, 97, 276–289.

    Article  Google Scholar 

  18. Hung, M. F., & Huang, T. H. (2015). Dynamic demand for residential electricity in Taiwan under seasonality and increasing-block pricing. Energy Economics, 48, 168–177.

    Article  Google Scholar 

  19. Paterakis, N. G., Erdinc, O., & Catalao, J. P. S. (2017). An overview of demand response: Key-elements and international experience. Renewable and Sustainable Energy Reviews, 69, 871–891.

    Article  Google Scholar 

  20. Yang, C., Meng, C., & Zhaou, K. (2018). Residential electricity pricing in China: The context of price-based demand response. Renewable and Sustainable Energy Reviews, 81, part 2, 2870–2878.

    Article  Google Scholar 

  21. Xu, F. Y., Zhang, T., Lai, L. L., & Zhou, H. (2015). Shifting boundary for price-based residential demand response and applications. Applied Energy, 146, 353–370.

    Article  Google Scholar 

  22. Davito, B., Tai, H., & Uhlaner, R. (2010). The smart grid and the promise of demand-side management. McKinsey on Smart Grid Summer, 2010, 38–44.

    Google Scholar 

  23. Shen, B., Ghatikar, G., Lei, Z., Li, J., Wikler, G., & Martin, P. (2014). The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges. Applied Energy, 130, 814–823.

    Article  Google Scholar 

  24. Vardakas, J. S., Zorba, N., & Verikoukis, C. V. (2015). A survey on demand response programs in smart grids: Pricing methods and optimization algorithms. IEEE Communications Surveys and Tutorials, 17(1), 152–178.

    Article  Google Scholar 

  25. Aghaei, J., Alizadeh, M.-I., Siano, P., & Heidari, A. (2016). Contribution of emergency demand response programs in power system reliability. Energy, 103, 688–696.

    Article  Google Scholar 

  26. Parhizi, S., Lotfi, H., Khodaei, A., & Bahramirad, S. (2015). State of the art in research on microgrids: A review. IEEE Access, 3, 890–925.

    Article  Google Scholar 

  27. Hatziargyrion, N., Asano, H., Iravani, R., & Marnay, C. (2007). Microgrids: An overview of ongoing research, development, and demonstration projects. IEEE Power Energy Magazine, 5(4), 78–94.

    Article  Google Scholar 

  28. Lasseter, R. H., & Paigi, P. (2004). Microgrid: A conceptual solution. IEEE 35 th Annual Power Electronics Specialists Conference, 4258–4290.

    Google Scholar 

  29. Microgrid Knowledge, Microgrids and distributed energy: How customers can get full value, 2019. Available at: https://microgridknowledge.com/asset-backed-demand-response-microgrids/.

  30. Shoreh, M. H., Siano, P., Shafie-khah, M., Loia, V., & Catalao, J. P. S. (2016). A survey of industrial applications of demand response. Electric Power Systems Research, 141, 31–49.

    Article  Google Scholar 

  31. Mohagheghi, S., & Raji, S. (2014). Managing industrial energy intelligently: Demand response scheme. IEEE Industrial Applications Magazine, 20(2), 53–62.

    Article  Google Scholar 

  32. Smith, D. M., St. Leger, A., & Severson, B. (2015). Automated demand response of thermal load with a photovoltaic source for military microgrids. IEEE Clemson University Power Systems Conference, 1–8.

    Google Scholar 

  33. Van Broekhoven, S., Judson, N., Galvin, J., & Marqusee, J. (2013). Leading the charge: Microgrids for domestic military installations. IEEE Power and Energy Magazine, 11(4), 40–45.

    Article  Google Scholar 

  34. Hirsch, A., Parag, Y., & Guerrero, J. (2018). Microgrids: A review of technologies, key drivers, and outstanding issues. Renewable and Sustainable Energy Reviews, 90, 402–411.

    Article  Google Scholar 

  35. Hanna, R., Ghonima, M., Kleissl, J., Tynan, G., & Victor, D. G. (2017). Evaluating business models for microgrids: Interactions of technology and policy. Energy Policy, 103, 47–61.

    Article  Google Scholar 

  36. Meegahapola, L. G., Robinson, D., Agalgaonkar, A. P., Perera, S., & Ciufo, P. (2014). Microgrids of commercial buildings: Strategies to manage mode transfer from grid connected to islanded mode. IEEE Trans. on Sustainable Energy, 5(4), 1337–1347.

    Article  Google Scholar 

  37. Wang, Y., Wang, B., Chu, C. C., Pota, H., & Gadh, R. (2016). Energy management for a commercial building microgrid with stationary and mobile battery storage. Energy and Buildings, 116, 141–150.

    Article  Google Scholar 

  38. Cotto, S. V., & Lee, W. J. (2016). Challenges and opportunities: Microgrid modular design for tribal healthcare facilities. IEEE North American Power Symposium, 1–6.

    Google Scholar 

  39. Dincer, I., & Abu-Rayash, A. (2019). Energy sustainability. Elsevier Science & Technology.

    Google Scholar 

  40. Sechilariu, M., Wang, B., & Locment, F. (2013). Building-integrated microgrid: Advanced local energy management for forthcoming smart power grid communication. Energy and Buildings, 59, 236–243.

    Article  Google Scholar 

  41. Jamshidi Monfared, H., Ghasemi, A., Loni, A., & Marzband, M. (2019). A hybrid price-based demand response program for the residential micro-grid. Energy, 185, 274–285.

    Article  Google Scholar 

  42. Kuang, Y., Zhang, Y., Zhou, B., Li, C., Cao, Y., Li, Y., & Zeng, L. (2016). A review of renewable energy utilization in islands. Renewable and Sustainable Energy Reviews, 59, 504–513.

    Article  Google Scholar 

  43. Anand, H., & Ramasubbu, R. (2018). A real time pricing strategy for remote micro-grid with economic emission dispatch and stochastic renewable energy sources. Renewable Energy, 127, 779–789.

    Article  Google Scholar 

  44. Thompson, C. C., Oikonomou, P. E. K., Etemadi, A. H., & Sorger, V. J. (2015). Optimization of data center battery storage investments for microgrid cost saving, emissions reduction, and reliability enhancement. IEEE Industry Applications Society Annual Meeting, 1–7.

    Google Scholar 

  45. Aluisio, B., Dicorato, M., Ferrini, I., Forte, G., Sbrizzai, R., & Trovato, M. (2019). Optimal sizing procedure for electric vehicle supply infrastructure based on DC microgrid with station commitment. Energies, 12(10), 1–19.

    Article  Google Scholar 

  46. Tushar, M. H. K., Zeineddine, A. W., & Assi, C. (2018). Demand-side management by regulating charging and discharging of the EV, ESS, and utilizing renewable energy. IEEE Trans. on Industrial Informatics, 14(1), 117–126.

    Article  Google Scholar 

  47. Aliasghari, P., Mohammadi-Ivatloo, B., Alipour, M., Abapour, M., & Zare, K. (2018). Optimal scheduling of plug-in electric vehicles and renewable micro-grid in energy and reserve markets considering demand response program. Journal of Cleaner Production, 186, 293–303.

    Article  Google Scholar 

  48. Kansal, S., Tyagi, B., & Kumar, V. (2017). Cost-benefit analysis for optimal DG placement in distribution system. International Journal of Ambient Energy, 38(1), 45–54.

    Article  Google Scholar 

  49. Chen, C., & Duan, S. (2014). Optimal allocation of distributed generation and energy storage system in microgrids. IET Renewable Power Generation, 8(6), 581–589.

    Article  Google Scholar 

  50. An, L. N., Quoc-Tuan, T., Seddik, B., & Van-Linh, N. (2015). Optimal sizing of a grid-connected microgrid, IEEE International Conference on Industrial Technology (ICIT), 1–6.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Gilan Electric Power Distribution Co., Rasht, Iran

    Mohammad Esmaeil Honarmand

  2. School of Engineering, University College Cork (UCC), Cork, Ireland

    Vahid Hosseinnezhad & Barry Hayes

  3. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Behnam Mohammadi-Ivatloo

  4. Department of Management and Innovation Systems, University of Salerno, Fisciano, Italy

    Pierluigi Siano

Authors
  1. Mohammad Esmaeil Honarmand
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  2. Vahid Hosseinnezhad
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  3. Barry Hayes
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  4. Behnam Mohammadi-Ivatloo
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  5. Pierluigi Siano
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Corresponding author

Correspondence to Vahid Hosseinnezhad .

Editor information

Editors and Affiliations

  1. Department of Energy Technology, Aalborg University, Aalborg, Denmark

    Amjad Anvari-Moghaddam

  2. Electrical Engineering Department, Razi University, Kermanshah, Iran

    Hamdi Abdi

  3. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Behnam Mohammadi-Ivatloo

  4. Electrical and Computer Engineering Department, National Technical University of Athens, Zografou, Attika, Greece

    Nikos Hatziargyriou

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Honarmand, M.E., Hosseinnezhad, V., Hayes, B., Mohammadi-Ivatloo, B., Siano, P. (2021). An Economic Demand Management Strategy for Passive Consumers Considering Demand-Side Management Schemes and Microgrid Operation. In: Anvari-Moghaddam, A., Abdi, H., Mohammadi-Ivatloo, B., Hatziargyriou, N. (eds) Microgrids. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-59750-4_7

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  • DOI: https://doi.org/10.1007/978-3-030-59750-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59749-8

  • Online ISBN: 978-3-030-59750-4

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