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2021 | OriginalPaper | Chapter

4. Energy Markets of Multi-carrier Energy Networks

Authors : Seyed Mahdi Kazemi-Razi, Hamed Nafisi

Published in: Planning and Operation of Multi-Carrier Energy Networks

Publisher: Springer International Publishing

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Abstract

Multi-carrier energy networks (MCENs) can participate in different markets and optimize the economical operation of MCEN by optimizing the revenues and costs in these markets. One of the most important markets is the electricity market, where the MCEN purchases or sells electricity to provide the consumers’ demand. Also, there are some ancillary markets (e.g., power balancing services market), capacity market, and local balancing services, which apply extra revenues for MCEN and help the power system operation technically. Moreover, MCEN must consider the use of system charges, tax, and environmental and social obligations in the power management problem. The consumed gas of MCEN consumers is purchased from the gas market. There are imbalance charges for purchased gas on over/under-delivered gas compared to the relevant contracts. In addition to the mentioned markets, there are other markets and incentives such as CO2 emissions market, energy efficiency market, and low-carbon incentives, which can be considered to improve the MCEN operation technically and environmentally in addition to optimized revenue. More storage capacity and availability of energy prices/incentives for MCEN consumers with communication infrastructure are two reasons of the MCEN higher efficiency in these markets compared to traditional networks, which are described in more detail in this chapter.

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Literature
1.
go back to reference Kazemi-Razi SM (2020) Optimal scheduling of active distribution networks in the context of energy and reserve market. Amirkabir University of Technology (Tehran Polytechnic) Kazemi-Razi SM (2020) Optimal scheduling of active distribution networks in the context of energy and reserve market. Amirkabir University of Technology (Tehran Polytechnic)
2.
go back to reference Kirschen DS, Strbac G (2018) Fundamentals of power system economics. John Wiley & Sons Kirschen DS, Strbac G (2018) Fundamentals of power system economics. John Wiley & Sons
3.
go back to reference Shahidehpour M, Yamin H, Li Z (2003) Market operations in electric power systems: forecasting, scheduling, and risk management. John Wiley & Sons Shahidehpour M, Yamin H, Li Z (2003) Market operations in electric power systems: forecasting, scheduling, and risk management. John Wiley & Sons
4.
go back to reference Coelho A, Neyestani N, Soares F, Lopes JP (2020) Wind variability mitigation using multi-energy systems. Int J Electr Power Energy Syst 118:105755CrossRef Coelho A, Neyestani N, Soares F, Lopes JP (2020) Wind variability mitigation using multi-energy systems. Int J Electr Power Energy Syst 118:105755CrossRef
5.
go back to reference Good N, Mancarella P (2019) Flexibility in multi-energy communities with electrical and thermal storage: a stochastic, robust approach for multi-service demand response. IEEE Trans Smart Grid 10:503–513CrossRef Good N, Mancarella P (2019) Flexibility in multi-energy communities with electrical and thermal storage: a stochastic, robust approach for multi-service demand response. IEEE Trans Smart Grid 10:503–513CrossRef
6.
go back to reference Kazemi-Razi SM, Askarian-Abyaneh H, Nafisi H, Marzband M, Samadian-Zakaria M (2020) Optimization of operation of microgrid by thermal demand response considering enhancement of consumers’ thermal comfort. Iran Electr Ind J Qual Product 8:68–77 Kazemi-Razi SM, Askarian-Abyaneh H, Nafisi H, Marzband M, Samadian-Zakaria M (2020) Optimization of operation of microgrid by thermal demand response considering enhancement of consumers’ thermal comfort. Iran Electr Ind J Qual Product 8:68–77
7.
go back to reference Ceseña EAM, Mancarella P (2018) Energy systems integration in smart districts: robust optimisation of multi-energy flows in integrated electricity, heat and gas networks. IEEE Trans Smart Grid 10:1122–1131CrossRef Ceseña EAM, Mancarella P (2018) Energy systems integration in smart districts: robust optimisation of multi-energy flows in integrated electricity, heat and gas networks. IEEE Trans Smart Grid 10:1122–1131CrossRef
8.
go back to reference Yazdani-Damavandi M, Neyestani N, Chicco G, Shafie-Khah M, Catalao JPS (2017) Aggregation of Distributed Energy Resources Under the Concept of Multienergy Players in Local Energy Systems. IEEE Trans. Sustain. Energy 8:1679–1693CrossRef Yazdani-Damavandi M, Neyestani N, Chicco G, Shafie-Khah M, Catalao JPS (2017) Aggregation of Distributed Energy Resources Under the Concept of Multienergy Players in Local Energy Systems. IEEE Trans. Sustain. Energy 8:1679–1693CrossRef
9.
go back to reference Saint-Pierre A, Mancarella P (2016) Active distribution system management: A dual-horizon scheduling framework for DSO/TSO interface under uncertainty. IEEE Trans. Smart Grid 8:2186–2197CrossRef Saint-Pierre A, Mancarella P (2016) Active distribution system management: A dual-horizon scheduling framework for DSO/TSO interface under uncertainty. IEEE Trans. Smart Grid 8:2186–2197CrossRef
10.
go back to reference Vayá MG, Andersson G (2015) Self scheduling of plug-in electric vehicle aggregator to provide balancing services for wind power. IEEE Trans Sustain Energy 7:886–899CrossRef Vayá MG, Andersson G (2015) Self scheduling of plug-in electric vehicle aggregator to provide balancing services for wind power. IEEE Trans Sustain Energy 7:886–899CrossRef
11.
go back to reference Pavić I, Capuder T, Kuzle I (2017) A comprehensive approach for maximizing flexibility benefits of electric vehicles. IEEE Syst J 12:2882–2893CrossRef Pavić I, Capuder T, Kuzle I (2017) A comprehensive approach for maximizing flexibility benefits of electric vehicles. IEEE Syst J 12:2882–2893CrossRef
12.
go back to reference Good N P (2015) Techno-economic assessment of flexible demand. The University of Manchester (United Kingdom) Good N P (2015) Techno-economic assessment of flexible demand. The University of Manchester (United Kingdom)
13.
go back to reference Chen X, Lv J, McElroy MB, Han X, Nielsen CP, Wen J (2018) Power system capacity expansion under higher penetration of renewables considering flexibility constraints and low carbon policies. IEEE Trans Power Syst 33:6240–6253CrossRef Chen X, Lv J, McElroy MB, Han X, Nielsen CP, Wen J (2018) Power system capacity expansion under higher penetration of renewables considering flexibility constraints and low carbon policies. IEEE Trans Power Syst 33:6240–6253CrossRef
14.
go back to reference Clegg S, Mancarella P (2015) Integrated electrical and gas network flexibility assessment in low-carbon multi-energy systems. IEEE Trans Sustain Energy 7:718–731CrossRef Clegg S, Mancarella P (2015) Integrated electrical and gas network flexibility assessment in low-carbon multi-energy systems. IEEE Trans Sustain Energy 7:718–731CrossRef
15.
go back to reference Nazari-heris M, Jabari F, Mohammadi-ivatloo B, Asadi S, Habibnezhad M (2020) An updated review on multi-carrier energy systems with electricity, gas, and water energy sources. J Clean Prod:123136 Nazari-heris M, Jabari F, Mohammadi-ivatloo B, Asadi S, Habibnezhad M (2020) An updated review on multi-carrier energy systems with electricity, gas, and water energy sources. J Clean Prod:123136
16.
go back to reference Nazari-Heris M, Mohammadi-Ivatloo B, Asadi S (2020) Optimal operation of multi-carrier energy networks with gas, power, heating, and water energy sources considering different energy storage technologies. J Energy Storage 31:101574CrossRef Nazari-Heris M, Mohammadi-Ivatloo B, Asadi S (2020) Optimal operation of multi-carrier energy networks with gas, power, heating, and water energy sources considering different energy storage technologies. J Energy Storage 31:101574CrossRef
17.
go back to reference Mirzaei MA, Nazari-Heris M, Zare K, Mohammadi-Ivatloo B, Marzband M, Asadi S, Anvari-Moghaddam A (2020) Evaluating the impact of multi-carrier energy storage systems in optimal operation of integrated electricity, gas and district heating networks. Appl Therm Eng:115413 Mirzaei MA, Nazari-Heris M, Zare K, Mohammadi-Ivatloo B, Marzband M, Asadi S, Anvari-Moghaddam A (2020) Evaluating the impact of multi-carrier energy storage systems in optimal operation of integrated electricity, gas and district heating networks. Appl Therm Eng:115413
18.
go back to reference Kazemi-Razi S M, Mirsalim M, Askarian-Abyaneh H, Nafisi H, Marzband M (2018) Maximization of wind energy utilization and flicker propagation mitigation using SC and STATCOM in 2018 Smart Grid Conference (SGC) 1–6 Kazemi-Razi S M, Mirsalim M, Askarian-Abyaneh H, Nafisi H, Marzband M (2018) Maximization of wind energy utilization and flicker propagation mitigation using SC and STATCOM in 2018 Smart Grid Conference (SGC) 1–6
22.
go back to reference Heitsch H, Römisch W (2003) Scenario reduction algorithms in stochastic programming. Comput Optim Appl 24:187–206MathSciNetCrossRef Heitsch H, Römisch W (2003) Scenario reduction algorithms in stochastic programming. Comput Optim Appl 24:187–206MathSciNetCrossRef
36.
go back to reference Change C on C (2014) Meeting Carbon Budgets—2014 Progress Report to Parliament Change C on C (2014) Meeting Carbon Budgets—2014 Progress Report to Parliament
37.
go back to reference Sorrell S, Harrison D, Radov D, Klevnas P, Foss A (2009) White certificate schemes: economic analysis and interactions with the EU ETS. Energy Policy 37:29–42CrossRef Sorrell S, Harrison D, Radov D, Klevnas P, Foss A (2009) White certificate schemes: economic analysis and interactions with the EU ETS. Energy Policy 37:29–42CrossRef
38.
go back to reference DECC (2020) Building a market for energy efficiency: call for evidence DECC (2020) Building a market for energy efficiency: call for evidence
Metadata
Title
Energy Markets of Multi-carrier Energy Networks
Authors
Seyed Mahdi Kazemi-Razi
Hamed Nafisi
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-60086-0_4