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

Dedi Li, Yue Zong, Xinjie Lai, Huimin Huang, Haiqi Zhao () and Shufeng Dong
Additional contact information
Dedi Li: Power China Huadong Engineering Corporation Limited, Hangzhou 310014, China
Yue Zong: Power China Huadong Engineering Corporation Limited, Hangzhou 310014, China
Xinjie Lai: Power China Huadong Engineering Corporation Limited, Hangzhou 310014, China
Huimin Huang: Power China Huadong Engineering Corporation Limited, Hangzhou 310014, China
Haiqi Zhao: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Shufeng Dong: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Sustainability, 2023, vol. 15, issue 16, 1-22

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

Keywords: local absorption of distributed photovoltaic; integrated energy system; fuzzy chance constraints; collaborative optimal dispatch; segmented penalty costs (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/16/12459/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/16/12459/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:16:p:12459-:d:1218498

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().