Chance-Constrained Dispatching of Integrated Energy Systems Considering Source–Load Uncertainty and Photovoltaic Absorption

نویسندگان

چکیده

Because of their renewable and non-polluting characteristics in power production, distributed photovoltaics have been developed, but they also criticized for the volatility output power. In this paper, an integrated energy system optimal dispatching model is proposed to improve local absorption capacity photovoltaics. First, consisting electricity, heat, cooling, gas, hydrogen modeled, a mathematical constructed. After that, uncertainty photovoltaic load demand typical scenario data set generated through Monte Carlo simulation K-means clustering. Finally, constructed minimize daily operating cost, including consumption, equipment operation maintenance, curtailment penalty costs, as optimization objective. objective, segmented cost Introduced. Moreover, paper presents chance constraint convert problem containing uncertain variables into mixed integer linear programming problem, which can reduce difficulty solution. The case shows that ability be accommodated locally. At same time, due introduction improves generation at peak tariff intervals enhances economy operation.

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ژورنال

عنوان ژورنال: Sustainability

سال: 2023

ISSN: ['2071-1050']

DOI: https://doi.org/10.3390/su151612459