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Optimal Scheduling of Hybrid Energy Storage Technologies in the Multi-carrier Energy Networks

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Planning and Operation of Multi-Carrier Energy Networks

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

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Abstract

Nowadays, multi-carrier energy networks are efficient solutions to boost energy efficiency, decrease energy supply cost, and increase the flexibility of the traditional systems. Among the existing elements, energy storage systems and energy conversion facilities play a special role in the optimal operation of multi-carrier energy networks to supply different energy demands. The preferable characteristic of energy storage systems raises the need to use a comprehensive energy management strategy to connect and manage different layers of energy networks in the scheduling process. To this end, this chapter presents an optimal bidding/offering strategy for the economic participation of the hybrid energy storage unit in the multi-carrier energy markets. This strategy is proposed from the perspective of a storage system owner to maximize the profit of the hybrid storage unit. The power-to-gas (P2G) storage, compressed air energy storage (CAES) unit, and power-to-heat (P2H) storage are considered as energy conversion/storage technologies in the form of a hybrid storage unit to participate in multiple energy markets. To validate the effectiveness of the considered method, the presented optimization problem was successfully applied to a realistic case study and was solved using GAMS/CPLEX. According to the results of this study, the hybrid storage unit’s profit is increased by up to 13.2% with the simultaneous use of the CAES unit, P2G storage, and P2H storage compared to the other case studies.

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Abbreviations

i (NI):

CAES unit

l (NL):

P2G storage

m (NM):

P2H storage

t (NT):

Scheduling time interval

\( {A}_{(.)}^{\mathrm{Min}},{A}_{(.)}^{\mathrm{Max}} \):

Minimum and maximum energy limit

\( {G}_l^{C,\operatorname{Max}},{G}_l^{D,\operatorname{Max}} \):

Maximum stored/supplied natural gas by P2G storage

\( {H}_m^{C,\operatorname{Max}},{H}_m^{D,\operatorname{Max}} \):

Maximum stored/supplied heat by P2H storage

\( {P}_i^{C,\operatorname{Min}},{P}_i^{C,\operatorname{Max}} \):

Min/max charge capacity of the CAES unit

\( {P}_i^{D,\operatorname{Min}},{P}_i^{D,\operatorname{Max}} \):

Min/max discharge capacity of the CAES unit

\( {P}_i^{S,\operatorname{Min}},{P}_i^{S,\operatorname{Max}} \):

Min/max capacity of CAES unit in simple cycle mode

\( {P}_l^{\mathrm{Max}} \):

Maximum allowable power consumption by P2G storage

\( {P}_m^{\mathrm{Max}} \):

Maximum allowable power consumption by P2H storage

VC, VE:

Operating/maintenance costs of compressor and expander

\( {\lambda}_t^{\mathrm{e}},{\lambda}_t^{\mathrm{g}},{\lambda}_t^{\mathrm{h}} \):

Day-ahead wholesale electricity, gas, and heat prices

copm:

Coefficient of P2H storage performance

\( {\eta}_{(.)}^C,{\eta}_{(.)}^D \):

Charge/discharge efficiency of various facilities

A(.), t:

The energy level of various storage technologies

\( {E}_t^{\mathrm{DA}} \):

Bidding/offering capacity of the day-ahead electricity market

\( {G}_t^{\mathrm{DA}} \):

Bidding/offering capacity of the day-ahead gas market

\( {G}_{l,t}^C,{G}_{l,t}^D \):

Stored/supplied natural gas in charge/discharge modes by P2G storage

GIi, t:

Consumed natural gas by the CAES unit

GPl, t:

Produced natural gas by P2G storage

\( {H}_t^{\mathrm{DA}} \):

Bidding/offering capacity of the day-ahead heat market

\( {H}_{m,t}^C,{H}_{m,t}^D \):

Stored/supplied heat in charge/discharge modes by P2H storage

HPm, t:

Produced heat by P2H storage

\( {P}_{i,t}^C,{P}_{i,t}^D \):

Stored/supplied power in charge/discharge modes by CAES unit

\( {P}_{i,t}^S \):

Generated power in simple cycle mode by CAES unit

Pl, t:

Consumed power by P2G storage

Pm, t:

Consumed power by P2H storage

\( {I}_{i,t}^C,{I}_{i,t}^D,{\displaystyle \begin{array}{c}\end{array}}{I}_{i,t}^S \):

Binary variables to show on/off status of facilities

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Authors and Affiliations

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

    Morteza Zare Oskouei, Hadi Nahani, Behnam Mohammadi-Ivatloo & Mehdi Abapour

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

    Behnam Mohammadi-Ivatloo

Authors
  1. Morteza Zare Oskouei
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  2. Hadi Nahani
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  3. Behnam Mohammadi-Ivatloo
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  4. Mehdi Abapour
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Correspondence to Morteza Zare Oskouei .

Editor information

Editors and Affiliations

  1. Department of Architectural Engineering, Pennsylvania State University, University Park, PA, USA

    Morteza Nazari-Heris

  2. Department of Architectural Engineering, Pennsylvania State University, University Park, PA, USA

    Somayeh Asadi

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

    Behnam Mohammadi-Ivatloo

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Zare Oskouei, M., Nahani, H., Mohammadi-Ivatloo, B., Abapour, M. (2021). Optimal Scheduling of Hybrid Energy Storage Technologies in the Multi-carrier Energy Networks. In: Nazari-Heris, M., Asadi, S., Mohammadi-Ivatloo, B. (eds) Planning and Operation of Multi-Carrier Energy Networks. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-60086-0_6

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  • DOI: https://doi.org/10.1007/978-3-030-60086-0_6

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  • Online ISBN: 978-3-030-60086-0

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