综合电力和天然气能源系统的可靠性约束配置优化:随机方法

IF 9.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Mostafa Shabanian-Poodeh , Rahmat-Allah Hooshmand , Miadreza Shafie-khah
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引用次数: 0

摘要

随着对电力和天然气基础设施的依赖程度不断提高,确保可靠性和经济效益变得至关重要。这就需要采取以可靠性为中心的措施,以减轻这些互联系统之间可能发生的连锁中断。为应对这一挑战,本文介绍了一种可靠性受限的两阶段随机模型,用于优化电-气(P2 G)和气-电(G2P)机组的布局和规模,旨在提高随机情景下两个系统的可靠性。所提议的模型在其优化框架中采用了序列蒙特卡罗(SMC)技术,旨在最大限度地降低投资、运行和可靠性成本。该模型解决了两个系统组件停运的时间不确定性问题,并考虑了电力和天然气系统负荷的不确定性,具有较高的时间分辨率和年度负荷增长,提供了全面的可靠性视角。此外,还进行了敏感性分析,以探讨不同的损失负荷值(VOLL)对规划结果的影响。利用两个综合能源系统(包括 IEEE 14 总线-10 个燃气节点)和大型能源系统(包括 IEEE 118 总线-85 个燃气节点的综合电力-燃气系统 (IPGS))进行的数值评估表明,整体系统可靠性显著提高了 12.53%。此外,运行成本降低了 2.81%,可靠性成本大幅降低了 26.3%,验证了所提模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability-constrained configuration optimization for integrated power and natural gas energy systems: A stochastic approach
With the escalating dependence on electricity and natural gas infrastructure, ensuring both reliability and economic efficiency becomes paramount. It necessitates reliability centric measures to mitigate disruptions that could cascade between these interconnected systems. To address this challenges, this paper introduces a reliability-constrained two-stage stochastic model to optimize power-to-gas (P2 G) and gas-to-power (G2P) unit placement and sizing, aiming to enhance the reliability of both systems under stochastic scenarios. The proposed model, employing Sequential Monte Carlo (SMC) within its optimization framework, seeks to minimize investment, operation, and reliability costs. By addressing temporal uncertainties in component outages for both systems and considering uncertainties in power and gas system loads with a high temporal resolution and annual load growth, the model provides a comprehensive reliability perspective. Furthermore, sensitivity analysis is conducted to explore the impact of varying Values of Lost Load (VOLL) on the planning results. Numerical evaluation, using two integrated energy systems including IEEE 14-bus-10-gas node, and large-scale energy systems including IEEE 118-bus-85-gas node integrated power-gas system (IPGS), demonstrates a significant 12.53 % improvement in overall system reliability. Furthermore, a 2.81 % reduction in operation costs and a substantial 26.3 % reduction in reliability costs, validating the effectiveness of the proposed model.
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来源期刊
Reliability Engineering & System Safety
Reliability Engineering & System Safety 管理科学-工程:工业
CiteScore
15.20
自引率
39.50%
发文量
621
审稿时长
67 days
期刊介绍: Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.
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