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Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source

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  • Moghaddam, Amjad Anvari
  • Seifi, Alireza
  • Niknam, Taher
  • Alizadeh Pahlavani, Mohammad Reza

Abstract

As a result of today’s rapid socioeconomic growth and environmental concerns, higher service reliability, better power quality, increased energy efficiency and energy independency, exploring alternative energy resources, especially the renewable ones, has become the fields of interest for many modern societies. In this regard, MG (Micro-Grid) which is comprised of various alternative energy sources can serve as a basic tool to reach the desired objectives while distributing electricity more effectively, economically and securely. In this paper an expert multi-objective AMPSO (Adaptive Modified Particle Swarm Optimization algorithm) is presented for optimal operation of a typical MG with RESs (renewable energy sources) accompanied by a back-up Micro-Turbine/Fuel Cell/Battery hybrid power source to level the power mismatch or to store the surplus of energy when it’s needed. The problem is formulated as a nonlinear constraint multi-objective optimization problem to minimize the total operating cost and the net emission simultaneously. To improve the optimization process, a hybrid PSO algorithm based on a CLS (Chaotic Local Search) mechanism and a FSA (Fuzzy Self Adaptive) structure is utilized. The proposed algorithm is tested on a typical MG and its superior performance is compared to those from other evolutionary algorithms such as GA (Genetic Algorithm) and PSO (Particle Swarm Optimization).

Suggested Citation

  • Moghaddam, Amjad Anvari & Seifi, Alireza & Niknam, Taher & Alizadeh Pahlavani, Mohammad Reza, 2011. "Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source," Energy, Elsevier, vol. 36(11), pages 6490-6507.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:11:p:6490-6507
    DOI: 10.1016/j.energy.2011.09.017
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    References listed on IDEAS

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    1. Niknam, Taher & Meymand, Hamed Zeinoddini & Mojarrad, Hasan Doagou, 2011. "An efficient algorithm for multi-objective optimal operation management of distribution network considering fuel cell power plants," Energy, Elsevier, vol. 36(1), pages 119-132.
    2. Ayres, Robert U. & Turton, Hal & Casten, Tom, 2007. "Energy efficiency, sustainability and economic growth," Energy, Elsevier, vol. 32(5), pages 634-648.
    3. Liao, Gwo-Ching, 2011. "A novel evolutionary algorithm for dynamic economic dispatch with energy saving and emission reduction in power system integrated wind power," Energy, Elsevier, vol. 36(2), pages 1018-1029.
    4. Sayyaadi, Hoseyn & Babaie, Meisam & Farmani, Mohammad Reza, 2011. "Implementing of the multi-objective particle swarm optimizer and fuzzy decision-maker in exergetic, exergoeconomic and environmental optimization of a benchmark cogeneration system," Energy, Elsevier, vol. 36(8), pages 4777-4789.
    5. Sanseverino, Eleonora Riva & Di Silvestre, Maria Luisa & Ippolito, Mariano Giuseppe & De Paola, Alessandra & Lo Re, Giuseppe, 2011. "An execution, monitoring and replanning approach for optimal energy management in microgrids," Energy, Elsevier, vol. 36(5), pages 3429-3436.
    6. Liu, Bo & Wang, Ling & Jin, Yi-Hui & Tang, Fang & Huang, De-Xian, 2005. "Improved particle swarm optimization combined with chaos," Chaos, Solitons & Fractals, Elsevier, vol. 25(5), pages 1261-1271.
    7. Pouresmaeil, Edris & Montesinos-Miracle, Daniel & Gomis-Bellmunt, Oriol & Bergas-Jané, Joan, 2010. "A multi-objective control strategy for grid connection of DG (distributed generation) resources," Energy, Elsevier, vol. 35(12), pages 5022-5030.
    8. Pearce, J.M., 2009. "Expanding photovoltaic penetration with residential distributed generation from hybrid solar photovoltaic and combined heat and power systems," Energy, Elsevier, vol. 34(11), pages 1947-1954.
    9. Houwing, Michiel & Ajah, Austin N. & Heijnen, Petra W. & Bouwmans, Ivo & Herder, Paulien M., 2008. "Uncertainties in the design and operation of distributed energy resources: The case of micro-CHP systems," Energy, Elsevier, vol. 33(10), pages 1518-1536.
    10. Dali, Mehdi & Belhadj, Jamel & Roboam, Xavier, 2010. "Hybrid solar–wind system with battery storage operating in grid-connected and standalone mode: Control and energy management – Experimental investigation," Energy, Elsevier, vol. 35(6), pages 2587-2595.
    11. Hawkes, A.D. & Leach, M.A., 2007. "Cost-effective operating strategy for residential micro-combined heat and power," Energy, Elsevier, vol. 32(5), pages 711-723.
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