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A Multi-Energy System Expansion Planning Method Using a Linearized Load-Energy Curve: A Case Study in South Korea

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  • Woong Ko

    (School of Electrical Engineering & Computer Science, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul 08826, Korea)

  • Jong-Keun Park

    (School of Electrical Engineering & Computer Science, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul 08826, Korea)

  • Mun-Kyeom Kim

    (Department of Energy System Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea)

  • Jae-Haeng Heo

    (Research and Development Laboratory, Raonfreinds, 23, 16 Cheomdanbencheo-ro, Buk-gu, Gwangju 61009, Korea)

Abstract

Multi-energy systems can integrate heat and electrical energy efficiently, using resources such as cogeneration. In order to meet energy demand cost-effectively in a multi-energy system, adopting appropriate energy resources at the right time is of great importance. In this paper, we propose an expansion planning method for a multi-energy system that supplies heat and electrical energy. The proposed approach formulates expansion planning as a mixed integer linear programming (MILP) problem. The objective is to minimize the sum of the annualized cost of the multi-energy system. The candidate resources that constitute the cost of the multi-energy system are fuel-based power generators, heat-only boilers, a combined heat and power (CHP) unit, energy storage resources, and a renewable electrical power source. We use a load-energy curve, instead of a load-duration curve, for constructing the optimization model, which is subsequently linearized using a Douglas-Peucker algorithm. The residual load-energy curve, for utilizing the renewable electrical power source, is also linearized. This study demonstrates the effectiveness of the proposed method through a comparison with a conventional linearization method. In addition, we evaluate the cost and planning schedules of different case studies, according to the configuration of resources in the multi-energy system.

Suggested Citation

  • Woong Ko & Jong-Keun Park & Mun-Kyeom Kim & Jae-Haeng Heo, 2017. "A Multi-Energy System Expansion Planning Method Using a Linearized Load-Energy Curve: A Case Study in South Korea," Energies, MDPI, vol. 10(10), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1663-:d:115845
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    References listed on IDEAS

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    6. Kyu-Hyung Jo & Mun-Kyeom Kim, 2018. "Improved Genetic Algorithm-Based Unit Commitment Considering Uncertainty Integration Method," Energies, MDPI, vol. 11(6), pages 1-18, May.

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