Consumer-centric and capital efficient design of community microgrids for financially-Strapped communities

IF 3.1 4区 工程技术 Q3 ENERGY & FUELS
Emi Minghui Gui, I. MacGill, R. Betz
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引用次数: 0

Abstract

ABSTRACT Subscription-based microgrids have been deployed to serve electricity needs of rural communities due to their simple user interfaces and basic energy management requirements. However, these projects often suffer from economic inefficiency to sustain long-term operations, lacking insufficient price signals and demand side, as well as uncertainties around consumer participation. This article proposes a consumer-centric planning and design framework for community microgrids, based on capacity subscription with self-rationing to reveal consumers’ real preferences in service reliability and their budget constraints, in order to achieve social welfare maximization and revenue adequacy. This capital efficient community microgrid greatly simplifies the microgrid investment planning, operation and scheduling, and reduces capital requirements and transaction costs, thus to improve electricity accessibility and affordability and to incentivize private sector investments. This is particularly advantageous in microgrid applications for financially strapped communities when incorporating high share of variable renewable energy generations. Requiring a lower level of investments than the current subscription-based microgrids, our analysis shows the benefits of the proposed design in improving the consumers’ surplus, and supply–demand matching, achieving cost recovery, and desired level of service reliability for consumers.
为财政拮据的社区设计以消费者为中心和资本效率高的社区微电网
基于订阅的微电网由于其简单的用户界面和基本的能源管理要求,已被部署用于满足农村社区的电力需求。然而,这些项目往往遭受经济效率低下,无法维持长期运营,缺乏足够的价格信号和需求侧,以及消费者参与的不确定性。本文提出了一个以消费者为中心的社区微电网规划设计框架,基于容量订阅和自配给,揭示消费者对服务可靠性的真实偏好和预算约束,以实现社会福利最大化和收入充分性。这种资本高效的社区微电网大大简化了微电网的投资规划、运营和调度,降低了资本需求和交易成本,从而提高了电力的可及性和可负担性,并激励了私营部门的投资。这对于财政拮据的社区的微电网应用尤其有利,因为这些社区采用了大量可变的可再生能源。我们的分析表明,与目前基于订阅的微电网相比,该方案所需的投资水平较低,在改善消费者剩余、供需匹配、实现成本回收和消费者期望的服务可靠性方面,该方案的设计具有优势。
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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来源期刊
CiteScore
6.80
自引率
12.80%
发文量
42
审稿时长
6-12 weeks
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