Strategic investments and portfolio management in interdependent low-carbon electricity and natural gas markets

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Chemical Engineering Pub Date : 2024-09-26 DOI:10.1016/j.compchemeng.2024.108885
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Abstract

Addressing global warming necessitates carbon emissions reduction and renewable energy integration within the energy sector. Gas-Fired Power Plants (GFPP) are appealing to investors due to their low emissions and operational flexibility, which are considered necessary characteristics within low-carbon power systems with increasing renewable energy uncertainty. Investing in GFPPs presents intricate challenges due to the increasingly interdependent electricity and natural gas markets, especially in the light of a low-carbon economy. This work addresses these challenges for a strategic agent by proposing a bi-level optimization framework. The upper-level model derives the optimal electricity portfolio management regarding new investments and strategic biddings, while in the lower-level model, the electricity and gas markets are cleared sequentially under a Carbon Emission Trading Scheme (CETS). Case studies on a Pennsylvania-New Jersey- Maryland (PJM) 5-bus power system and an IEEE 24-bus test system demonstrate the applicability and efficacy of the proposed model in capturing the impact of a transitional integrated market framework on GFPPs investments. Also, introducing stochasticity to the model provides a better insight into the contrasting effects of emission allowance trading and gas prices on investment and bidding strategies.
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相互依存的低碳电力和天然气市场中的战略投资和投资组合管理
要解决全球变暖问题,就必须减少碳排放,并将可再生能源纳入能源部门。燃气发电厂(GFPP)因其低排放和运行灵活性而对投资者具有吸引力,在可再生能源不确定性不断增加的情况下,这些特点被认为是低碳电力系统的必要特征。由于电力和天然气市场日益相互依存,特别是在低碳经济的背景下,投资 GFPP 面临着错综复杂的挑战。本研究通过提出一个双层优化框架来解决战略代理人面临的这些挑战。上层模型推导出关于新投资和战略投标的最优电力组合管理,而在下层模型中,电力和天然气市场在碳排放交易计划(CETS)下依次清算。对宾夕法尼亚州-新泽西州-马里兰州(PJM)5 总线电力系统和 IEEE 24 总线测试系统进行的案例研究表明,所提议的模型在捕捉过渡性一体化市场框架对 GFPPs 投资的影响方面具有适用性和有效性。此外,在模型中引入随机性,可以更好地了解排放配额交易和天然气价格对投资和投标策略的不同影响。
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来源期刊
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
期刊介绍: Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.
期刊最新文献
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