Dynamic Risk-Averse Optimization of Distributed Energy Resource Aggregators
分布式能源聚合器的动态风险规避优化
基本信息
- 批准号:1807536
- 负责人:
- 金额:$ 35.09万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-15 至 2022-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Flexible distributed energy resources (DERs), such as energy storage devices, can provide diverse services to the nation's power grid that help mitigate variability and improve grid resilience. DER aggregators serve as mediators between electricity markets and consumers, seeking to incentivize DERs to provide multiple services to the grid while concurrently making commitments to the markets. However, current rules governing interactions with wholesale electricity markets are designed for large generators. These rules either discourage or do not allow for full utilization of the technological capabilities of small-scale energy storage and DER aggregations. The Federal Energy Regulatory Commission recently announced that independent system operators will soon be required to update their market rules in order to "remove barriers to the participation of electric storage resources and distributed energy resource aggregations in the capacity, energy, and ancillary markets..." Such rule changes will present opportunities for aggregators to effectively manage DER assets in a way that mutually benefits consumers and the grid. This research will create analytical and computational methods to devise optimal, or near optimal, strategies for DER aggregators who seek to incentivize DERs to provide multiple grid services, while making commitments to the market, in a risk-averse setting. Considered are multiple DERs and multiple grid services, uncertain interactions with the DERs and the market, and extendable notions of incentives and commitments to future rule implementations. It will also assess the value of aggregating DERs and co-optimizing multiple grid services and devise efficient techniques to compute risk-averse policies for problems that lack structure. A risk-averse Markov decision process (MDP) model with a dynamic risk measure is used to address the aggregator's sequential decision-making problem, and a suite of interrelated solution techniques for large-scale, risk-averse MDP models will be devised. The intelligent management of DERs for multiple uses promotes sustainable energy production and a reduction in environmental impacts by enabling deeper penetration of clean energy sources into the U.S. power grid while improving grid resilience. Furthermore, the techniques for risk-averse control are widely applicable to other large-scale operational problems that involve the joint management of several entities, including supply chain problems with multiple sources.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
灵活的分布式能源(DERs),如储能设备,可以为国家电网提供多样化的服务,帮助减轻变异性,提高电网的弹性。DER聚合器作为电力市场和消费者之间的调解人,寻求激励DER向电网提供多种服务,同时对市场做出承诺。然而,目前管理与批发电力市场互动的规则是为大型发电机设计的。这些规则要么阻碍,要么不允许充分利用小规模储能和DER聚合的技术能力。美国联邦能源管理委员会(Federal Energy Regulatory Commission)最近宣布,独立系统运营商将很快被要求更新其市场规则,以“消除电力存储资源和分布式能源资源聚合参与容量、能源和辅助市场的障碍……”这样的规则变化将为集成商提供机会,以一种对消费者和电网都有利的方式有效地管理DER资产。本研究将创建分析和计算方法,为DER聚合者设计最优或接近最优的策略,这些聚合者寻求激励DER提供多种网格服务,同时在规避风险的环境中对市场做出承诺。考虑到多个der和多个网格服务,与der和市场的不确定交互,以及可扩展的激励概念和对未来规则实现的承诺。它还将评估聚合der和共同优化多个网格服务的价值,并设计有效的技术来计算缺乏结构问题的风险规避策略。采用具有动态风险度量的风险规避马尔可夫决策过程(MDP)模型来解决聚合器的顺序决策问题,并为大规模的风险规避马尔可夫模型设计了一套相互关联的解决方案技术。多种用途的可再生能源的智能管理促进了可持续能源生产,并通过使清洁能源更深入地渗透到美国电网中,同时提高电网的弹性,减少了对环境的影响。此外,风险规避控制技术广泛适用于涉及多个实体联合管理的其他大规模操作问题,包括多源供应链问题。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
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