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Language: korean

Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received December 14, 2011
Accepted January 30, 2012

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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계통한계가격 예측모델에 근거한 통합 지역난방 시스템의 최적화

Optimization of Integrated District Heating System (IDHS) Based on the Forecasting Model for System Marginal Prices (SMP)

이기준 김래현¹ 여영구^†

Ki-Jun Lee Lae-Hyun Kim¹ Yeong-Koo Yeo^†

한양대학교 화학공학과, 133-791 서울시 성동구 행당동 17 ¹서울과학기술대학교 화학공학과, 135-743, 서울시 노원구 공릉동

Department of Chemical Engineering, Hanyang University, 17 Haengdong, Seongdong-gu, Seoul 133-791, Korea ¹Department of Chemical Engineering, Seoul National University of Science and Technology, Gongneung-dong, Nowon-gu, Seoul 135-743, Korea

Korean Chemical Engineering Research, June 2012, 50(3), 479-491(13), NONE Epub 5 June 2012

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Abstract

본 연구에서는 공급자와 소비자, 열 저장시설과 연계네트워크로 구성된 통합 지역난방시스템의 경제성을 평가하고 최적 운전조건을 규명하였다. 최적화에 있어서는 혼합 정수선형 계획법이 이용되었으며 1주일 동안의 열 요구량을 만족함과 동시에 통합 지역난방 시스템의 운전제한 조건에 따른 전체 운영비용을 목적함수로 하였다. 지역난방 네트워크 연결망을 열 병합 발전이 포함되지 않은 구역과 이를 포함하는 구역으로 나누어 최적화를 진행함으로써 열 병합 발전에 의한 비용절감 효과를 확인할 수 있었다. 아울러 계통한계가격 예측모델에 의해 예측된 계통한계가격과 실제 계통한계가격을 각각 적용하여 최적화를 진행하고 그 결과를 비교 분석하였다. 수치모사 결과 개발된 최적화 운영시스템의 도입에 의해 통합 지역난방시스템의 에너지 효율성이 증가함을 확인할 수 있었다.

In this paper we performed evaluation of the economics of a district heating system (DHS) consisting of energy suppliers and consumers, heat generation and storage facilities and power transmission lines in the capital region, as well as identification of optimal operating conditions. The optimization problem is formulated as a mixed integer linear programming (MILP) problem where the objective is to minimize the overall operating cost of DHS while satisfying heat demand during 1 week and operating limits on DHS facilities. This paper also propose a new forecasting model of the system marginal price (SMP) using past data on power supply and demand as well as past cost data. In the optimization, both the forecasted SMP and actual SMP are used and the results are analyzed. The salient feature of the proposed approach is that it exhibits excellent predicting performance to give improved energy efficiency in the integrated DHS.

Keywords

District Heating System (DHS) Integrated District Heating System Mixed Integer Linear Programming System Marginal Prices (SMP)

References

Benonysson A, Bohn B, Ravn HF, Energy Conv.Manag., 36(5), 297 (1995)
Aringhieri R, Malucelli F, Ann. Oper. Res., 120, 173 (2003)
Sjodin J, Henning D, Appl. Energy, 78(1), 1 (2004)
Soderman J, Pettersson F, Appl. Therm. Eng., 26, 1400 (2006)
Naser AT, Husam A, Clean Techn Environ Policy., 9, 235 (2007)
Arroyo J, Conejo A, IEEE Trans. Power Syst., 15(3), 1098 (2000)
Carrion M, Arroyo J, IEEE Trans. Power Syst., 21(3), 1371 (2006)
Delarue E, D’haeseleer W, Advanced Priority Listing Versus Mixed Integer Programming in solving the Unit Commitment Problem, Submitted to Energy (2007)
Afshar K, Ehsan M, Fotuhi-firuzabad M, Amjady N, Applied Mathematics and Computation., 196, 752 (2008)
Smajo B, Mesur H, Muris D, Electric Power Systems Research., 78, 1579 (2008)
Mandal P, Senjyu T, Urasaki N, Funabashi T, Srivastava AK, IEEE Trans. Power Syst., 22(4), 2058 (2007)
Mandal P, Anurag K, Senjyu ST, Negnevitsky M, Int.J. Energy Res., 34(6), 507 (2009)
Amjady N, Hemmati M, IEEE Power Energy Magazine., 4(2), 20 (2006)
Amjady N, IEEE Trans. Power Syst., 21(2), 887 (2006)
Gonzalez AM, Roque AMS, Garcia-Gonzalez J, IEEE Trans. Power Syst., 20(1), 13 (2005)
Pedregal DJ, Trapero JR, Energy Conv. Manag., 48(5), 1710 (2007)