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Considering cost and reliability in electrical and thermal distribution networks reinforcement planning

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  • Abbasi, Ali Reza
  • Seifi, Ali Reza

Abstract

The concurrent expansion of both electrical and thermal energy distribution systems has been addressed in this paper. The EEP (energy expansion planning) is formulated as a multi-objective optimization problem which is subjected to reduced I&O (investment and operation) costs as well as to improve the system reliability. As a result, apart from the total costs, the reliability measures of SAIFI (system average interruption frequency index), SAIDI (system average interruption duration index), and AENS (average energy not supplied) have been included in the objective function. Moreover the ability of the system reconfiguration in enhancing the system reliability has also been employed as a failure rate reduction strategy. The proposed EEP problem tries to minimize the objective function with respect to system constraints by means of rewiring, network reconfiguration, installation of new lines and also new electrical/thermal generating units. Such complex large-scale optimization problem mandates the utilization of an effective optimization tool to find the global optimum solution. The well-known TLO (Teaching Learning Optimization) is the core of exploited optimization method, ITLO (Improved TLO), in solving the proposed static EEP problem. In order to evaluate the proposed algorithm, two modified test systems are used as case studies.

Suggested Citation

  • Abbasi, Ali Reza & Seifi, Ali Reza, 2015. "Considering cost and reliability in electrical and thermal distribution networks reinforcement planning," Energy, Elsevier, vol. 84(C), pages 25-35.
    • Handle: RePEc:eee:energy:v:84:y:2015:i:c:p:25-35
    DOI: 10.1016/j.energy.2015.01.113
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    References listed on IDEAS

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    Cited by:

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    2. Kavousi-Fard, Abdollah & Abbasi, Alireza & Rostami, Mohammad-Amin & Khosravi, Abbas, 2015. "Optimal distribution feeder reconfiguration for increasing the penetration of plug-in electric vehicles and minimizing network costs," Energy, Elsevier, vol. 93(P2), pages 1693-1703.
    3. Badami, Marco & Fonti, Antonio & Carpignano, Andrea & Grosso, Daniele, 2018. "Design of district heating networks through an integrated thermo-fluid dynamics and reliability modelling approach," Energy, Elsevier, vol. 144(C), pages 826-838.
    4. Ahmadi, Bahman & Ceylan, Oguzhan & Ozdemir, Aydogan & Fotuhi-Firuzabad, Mahmoud, 2022. "A multi-objective framework for distributed energy resources planning and storage management," Applied Energy, Elsevier, vol. 314(C).
    5. Adefarati, T. & Bansal, R.C., 2017. "Reliability assessment of distribution system with the integration of renewable distributed generation," Applied Energy, Elsevier, vol. 185(P1), pages 158-171.
    6. Esmaeeli, Mostafa & Kazemi, Ahad & Shayanfar, Heidarali & Chicco, Gianfranco & Siano, Pierluigi, 2017. "Risk-based planning of the distribution network structure considering uncertainties in demand and cost of energy," Energy, Elsevier, vol. 119(C), pages 578-587.
    7. Saboori, Hedayat & Hemmati, Reza & Jirdehi, Mehdi Ahmadi, 2015. "Reliability improvement in radial electrical distribution network by optimal planning of energy storage systems," Energy, Elsevier, vol. 93(P2), pages 2299-2312.
    8. Rastgou, Abdollah & Moshtagh, Jamal & Bahramara, Salah, 2018. "Improved harmony search algorithm for electrical distribution network expansion planning in the presence of distributed generators," Energy, Elsevier, vol. 151(C), pages 178-202.
    9. Hossam A. Gabbar & Yahya Koraz, 2017. "Risk Assessment of Micro Energy Grid Protection Layers," Energies, MDPI, vol. 10(8), pages 1-19, August.

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