DOI:10.35833/MPCE.2022.000536 
 
 
An Uncertain Optimal Energy Flow Model for CCHP Campus Microgrid Using Parameterized Probability Boxes 
 

 
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Net amount: 25 
 
Author:
Shunjiang Lin^{1}, Xuan Sheng^{1}, Yuquan Xie^{2}, Yanghua Liu^{1}, Mingbo Liu^{3}

Author Affiliation:
1. School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China 2. Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510700, China 3. School of Electromechanical Engineering, Guangdong Polytechnic Normal University, Guangzhou, China

Foundation: 
This work was supported by the National Natural Science Foundation of China (No. 51977080) and the Natural Science Foundation of Guangdong Province (No. 2022A1515010332). 


Abstract: 
Due to the uncertain fluctuations of renewable energy and load power, the state variables such as bus voltages and pipeline mass flows in the combined cooling, heating, and power campus microgrid (CCHPCMG) may exceed the secure operation limits. In this paper, an optimal energy flow (OEF) model for a CCHPCMG using parameterized probability boxes (pboxes) is proposed to describe the higherorder uncertainty of renewables and loads. In the model, chance constraints are used to describe the secure operation limits of the state variable pboxes, and variance constraints are introduced to reduce their random fluctuation ranges. To solve this model, the chance and variance constraints are transformed into the constraints of interval cumulants (ICs) of state variables based on the pefficient point theory and interval CornishFisher expansion. With the relationship between the ICs of state variables and node power, and using the affine interval arithmetic method, the original optimization model is finally transformed into a deterministic nonlinear programming model. It can be solved by the CONOPT solver in GAMS software to obtain the optimal operation point of a CCHPCMG that satisfies the secure operation requirements considering the higherorder uncertainty of renewables and loads. Case study on a CCHPCMG demonstrates the correctness and effectiveness of the proposed OEF model. 
Keywords: 
Combined cooling ; heating ; and power campus microgrid (CCHPCMG) ; chanceconstrained programming ; higherorder uncertainty ; optimal energy flow ; parameterized probability box 
 
Received:August 24, 2022
Online Time:2023/09/20 
 


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