Short term scheduling of multi carrier systems through interruptible load and Energy Storage toward future sustainable energy needs

2013 8th International Conference on Electrical and Electronics Engineering (ELECO) Pub Date : 2013-11-01 DOI:10.1109/ELECO.2013.6713807

S. Pazouki, M. Haghifam, J. Olamaei

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引用次数: 7

Abstract

Greenhouse gas emissions especially CO2 and growing energy needs are developing advance technologies which are subject to emission lower, efficiency enhancement, economic improvement and reliability enhancement in response to future energy needs; electricity, hydrogen, heat, cooling and biofuels. In this paper, Energy Hub (EH) model as a strong solution is extended by smart grid key drivers; Renewable Energy, Combined Heat and Power (CHP), Energy Storage (ES), Demand Response (DR) to balance demand and supply in distribution system. EH is defined a super node in electric power system to utilize renewable and network energy carriers, then based on minimum cost decides how to act; convert, store or directly connect to serve hub required demands. Simulation results are applied on an urban place (Daran) in North-West of Iran where has strong potential to utilize agricultural and renewable resources. Results by Linear Mixed Integer Programming (MIP) model of GAMS software show when and how much of which carrier should be purchased, stored or interrupted to satisfy demands.

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面向未来可持续能源需求的可中断负荷和储能的多载波系统短期调度

温室气体排放，特别是二氧化碳的排放和日益增长的能源需求正在发展先进的技术，这些技术需要降低排放、提高效率、改善经济和提高可靠性，以应对未来的能源需求;电力、氢气、热能、制冷和生物燃料。本文将能源枢纽(EH)模型作为一种强大的解决方案，由智能电网的关键驱动因素进行扩展;可再生能源、热电联产(CHP)、储能(ES)、需求响应(DR)等，以平衡配电系统的供需。将EH定义为电力系统中利用可再生能源和网络能源载体的超级节点，然后根据最小成本决定如何行动;转换、存储或直接连接以满足集线器所需的需求。模拟结果应用于伊朗西北部城市地区(达兰)，该地区具有很强的农业和可再生资源利用潜力。通过GAMS软件的线性混合整数规划(MIP)模型，得出了在满足需求的情况下，应购买、存储或中断哪种载体的数量和数量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 8th International Conference on Electrical and Electronics Engineering (ELECO)

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