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

Woong Ko, Jong-Keun Park, Mun-Kyeom Kim and Jae-Haeng Heo
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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

Energies, 2017, vol. 10, issue 10, 1-24

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.

Keywords: multi-energy system; mixed integer linear programming; energy expansion planning; combined heat and power; renewable electrical power source (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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