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Optimal Power Dispatch and Reliability Analysis of Hybrid CHP-PV-Wind Systems in Farming Applications

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  • Saheed Lekan Gbadamosi

    (Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa)

  • Nnamdi I. Nwulu

    (Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa)

Abstract

Renewable energy sources (RES) are seen as potential alternative energy sources for rural communities to meet energy demand where electricity supply is inaccessible. Wind and Photo-Voltaic (PV) power is seen as mature and sustainable alternatives for rural electrification. This paper discusses the optimal power dispatch for hybrid combined heat and power (CHP), wind, PV and battery systems with a view to determining the operation of the hybrid system for farming applications. This is accomplished by considering the basic power system probability concepts to assess the performance of the reliability indices. The proposed mathematical model seeks to minimize the system operation costs from CHP. The developed model was validated on five case studies with the same load profile, solar radiation, wind speed and CHP generating unit parameters and solved using a CPLEX solver embedded in Algebraic Modelling Language. The sensitivity analysis performed indicates that the hybrid system achieved a higher reliability as compared to other case studies. The result shows 48% of energy cost reduction is achievable when considering the proposed hybrid CHP, wind, PV and battery system as compared to energy supply via CHP.

Suggested Citation

  • Saheed Lekan Gbadamosi & Nnamdi I. Nwulu, 2020. "Optimal Power Dispatch and Reliability Analysis of Hybrid CHP-PV-Wind Systems in Farming Applications," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8199-:d:423901
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    References listed on IDEAS

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    Cited by:

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    2. Akbas, Beste & Kocaman, Ayse Selin & Nock, Destenie & Trotter, Philipp A., 2022. "Rural electrification: An overview of optimization methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    3. Luis Fernando Grisales-Noreña & Andrés Alfonso Rosales-Muñoz & Oscar Danilo Montoya, 2023. "An Effective Power Dispatch of Photovoltaic Generators in DC Networks via the Antlion Optimizer," Energies, MDPI, vol. 16(3), pages 1-28, January.
    4. Luay Elkhidir & Khalid Khan & Mohammad Al-Muhaini & Muhammad Khalid, 2022. "Enhancing Transient Response and Voltage Stability of Renewable Integrated Microgrids," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    5. Saheed Lekan Gbadamosi & Fejiro S. Ogunje & Samuel Tita Wara & Nnamdi I. Nwulu, 2022. "Techno-Economic Evaluation of a Hybrid Energy System for an Educational Institution: A Case Study," Energies, MDPI, vol. 15(15), pages 1-12, August.
    6. Daniel Akinyele & Abraham Amole & Elijah Olabode & Ayobami Olusesi & Titus Ajewole, 2021. "Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application," Sustainability, MDPI, vol. 13(20), pages 1-26, October.
    7. Ewaoche John Okampo & Nnamdi Nwulu & Pitshou N. Bokoro, 2022. "Economic and Reliability Assessment of Hybrid PRO-RO Desalination Systems Using Brine for Salinity Gradient Energy Production," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    8. David Alfonso-Solar & Carlos Vargas-Salgado & Carlos Sánchez-Díaz & Elías Hurtado-Pérez, 2020. "Small-Scale Hybrid Photovoltaic-Biomass Systems Feasibility Analysis for Higher Education Buildings," Sustainability, MDPI, vol. 12(21), pages 1-14, November.
    9. Elnaz Davoodi & Salar Balaei-Sani & Behnam Mohammadi-Ivatloo & Mehdi Abapour, 2021. "Flexible Continuous-Time Modeling for Multi-Objective Day-Ahead Scheduling of CHP Units," Sustainability, MDPI, vol. 13(9), pages 1-18, April.

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