On modeling of the long term electricity markets in systems with wind and demand response

Anthoula Panagou, M. Zima, G. Andersson
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Abstract

Increasing proportion of stochastic generation implies risks for the electric grid operation. On the other hand, demand response is expected to lower reserve costs and to flatten the load profile. In this paper we investigate how to model these new conditions and we assess the impact of the new market design. We consider the existing deterministic market and suggest a stochastic economic dispatch that co-optimizes energy and reserve markets and can be used for the long-term forecasting of market outcomes. We solve it by employing a DC stochastic optimal power flow. Testing our method against the deterministic approach as for both the dispatch costs and the robustness we show that the stochastic formulation may lead to more costly results but is also more robust compared to the deterministic one. Sensitivity studies demonstrate the impact of the wind uncertainty and the demand response on the economic dispatch costs.
基于风电和需求响应系统的长期电力市场建模
随机发电比例的增加意味着电网运行的风险。另一方面,需求响应预计将降低储备成本,并使负荷剖面趋于平缓。在本文中,我们研究了如何对这些新条件进行建模,并评估了新市场设计的影响。我们考虑了现有的确定性市场,并提出了一种随机经济调度,它可以共同优化能源和储备市场,并可以用于市场结果的长期预测。采用直流随机最优潮流求解。针对调度成本和鲁棒性的确定性方法测试我们的方法,我们表明随机公式可能导致更昂贵的结果,但与确定性方法相比也更健壮。敏感性研究表明了风的不确定性和需求响应对经济调度成本的影响。
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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