Optimal Commitment Strategies for Distributed Generation Systems under Regulation and Multiple Uncertainties
Optimal Commitment Strategies for Distributed Generation Systems under Regulation and Multiple Uncertainties
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监管和多重不确定性下分布式发电系统的最优承诺策略
DOI：
10.1016/j.rser.2016.12.062
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Bruno Kamdem
中科院分区：
文献类型：
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作者：
Bruno Kamdem
本文建立了一个模型来评估微电网的采用和运行对经济和政策的影响。美国和中国最近达成的气候协议，以及具有历史意义的利马气候变化协议，推动了对气候友好型技术的巨大需求。考虑到不断增长的电力需求和不断增加的电力供应成本，通过微电网的最优经济调度最大化系统性能，决策者和政策制定者已经面临着为本地化运营和电网渗透制定能源管理战略的问题。本文采用改进的Benders分解方法探讨了在供需不确定的情况下，微电网中不同技术单元的最优供电调度问题。我们保证机组发电满足系统负荷，同时满足主要运行和技术限制。我们在定量数值分析中实施我们的模型，我们根据公共环境政策调查运营监管。我们通过揭示在需求和供应同时存在不确定性的情况下对电网的更大依赖来扩展先前对这一主题的研究。我们制定了一项适当减轻排放影响的战略。我们发现，在处理不确定性时，碳减排政策可以用来激励微电网运营商投资燃料电池和天然气技术。
This paper formulates a model that assesses the economic and policy implications of the adoption and operation of microgrids. The recent climate agreement between the US and China as well as the historic Lima accord on climate change are prompting a massive demand in climate-friendly technologies. Given the increasing demand for electricity and the mounting costs of electricity supply associated with maximizing system performance through an optimal economic scheduling of microgrids, decision makers and policymakers are already facing the problem of sketching energy management strategies for localized operation and grid penetration. We employ a modified Benders' decomposition approach to explore the optimal scheduling of supply from different technology units in the microgrid in the face of supply and demand uncertainties. We guarantee that the power generated by the units meets systemic load while satisfying the primary operational and technological constraints. We implement our model in a quantitative numerical analysis where we investigate the operational regulation in the light of a public environmental policy. We extend prior research on this subject by uncovering a greater reliance on the grid under simultaneous uncertainties in demand and supply. We unlock a strategy for a proper mitigation of the effects of emissions. We find that carbon abatement policy can be used to motivate microgrids operators to invest in fuel cells and natural gas technologies when dealing with uncertainty.