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Journal of System Simulation

Abstract

Abstract: Combined heat and power virtual power plant (CHP-VPP) aggregates various electrical and thermal output units and takes into account the uncertainty of wind and solar output, dynamic electricity prices, thermal comfort of users, and other influences to achieve optimal dispatching of overall output. A two-stage distributed robust optimal dispatching method is proposed. In the first stage, planned dispatching is considered, so as to maximize the benefit of CHP-VPP. In the second stage, a fuzzy set of wind and solar output uncertainties is constructed based on the distributed robust method of moment uncertainty, and the thermal comfort model of users, namely HOMIE, is introduced to reduce the net load fluctuation of the electricity and heat, so as to optimize and adjust the real-time output of the units in CHP-VPP. A case study is carried out for the IEEE14 node model, and the effects of uncertain parameters, different optimization methods, and dynamic electricity prices on the dispatching results are analyzed. The results show that the proposed method can effectively dispatch electricity and heat, maximize the benefit of the system, and minimize fluctuations.

First Page

1046

Revised Date

2022-03-07

Last Page

1058

CLC

TP391.9

Recommended Citation

Yaqian Fan, Songyuan Yu, Fang Fang. Two-Stage Distributed Robust Optimal Dispatching for a Combined Heat and Power Virtual Power Plant[J]. Journal of System Simulation, 2023, 35(5): 1046-1058.

Corresponding Author

Fang Fang,ffang@ncepu.edu.cn

DOI

10.16182/j.issn1004731x.joss.22-0059

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