debug to resolve confict, modify README

README.md

@@ -18,6 +18,7 @@ The **PowerSAS.m** is the version for MATLAB/Octave users. It currently provides
 #### Key features
 * **High numerical robustness.** Backed by the SAS approach, the PowerSAS tool provides much better convergence than the tools using traditional Newton-type algebraic equation solvers when solving algebraic equations (AE)/ordinary differential equations (ODE)/differential-algebraic equations(DAE).  
 * **Enhanced computational performance.** Due to the analytical nature, PowerSAS provides model-adaptive high-accuracy approximation, which brings significantly extended effective range and much larger steps for steady-state/dynamic analysis. PowerSAS has been used to solve large-scale system cases with 200,000+ buses.
+
 * **Customizable and extensible.** PowerSAS supports flexible customization of grid analysis scenarios, including complex event sequences in extended simulation term.  
 
 ## III. Installation
@@ -182,3 +183,22 @@ The argument list is explained as follows:
 * `width`: Width of figure window in pixels.
 * `height`: Height of figure window in pixels.
 * `sizeRatio`: If `width` or `height` is not specified, the size of the figure is determined by the `sizeRatio` of the screen size. The default value of `sizeRatio` is 0.7.
+
+
+* **Customizable and extensible.** PowerSAS supports flexible customization of grid analysis scenarios, including complex event sequences in extended simulation term. 
+
+## V. Citing
+
+If you are using **PowerSAS.m** in research work to be published, please include explicit citation of our work in your publication. Please place the following entries in your bibliography:
+
+[1]. J. Liu, R. Yao, F. Qiu, Y. Liu and K. Sun, "PowerSAS.m – An Open-Source Power System Simulation Toolbox Based on Semi-Analytical Solution Technologies," in IEEE Open Access Journal of Power and Energy, In Press.
+
+The corresponding BiBTex citations are given below:
+
+    @ARTICLE{powersas,
+             author={Liu, Jianzhe and Yao, Rui and Qiu, Feng and Liu, Yang and Sun, Kai},
+             journal={IEEE Open Access Journal of Power and Energy}, 
+             title={{PowerSAS.m} – An Open-Source Power System Simulation Toolbox Based on Semi-Analytical Solution Technologies}, 
+             year={2023},
+             doi={10.1109/OAJPE.2023.3245040}
+            }

docs/source/old/about.md

@@ -6,15 +6,32 @@
 * Kai Sun, University of Tennessee, Knoxville <<kaisun@utk.edu>>
 * Jianzhe Liu, Argonne National Laboratory <<jianzhe.liu@ieee.org>>
 
+### Citing
+
+If you are using **PowerSAS.m** in research work to be published, please include explicit citation of our work in your publication. Please place the following entries in your bibliography:
+
+[1]. J. Liu, R. Yao, F. Qiu, Y. Liu and K. Sun, "PowerSAS.m – An Open-Source Power System Simulation Toolbox Based on Semi-Analytical Solution Technologies," in IEEE Open Access Journal of Power and Energy, In Press.
+
+The corresponding BiBTex citations are given below:
+
+    @ARTICLE{powersas,
+             author={Liu, Jianzhe and Yao, Rui and Qiu, Feng and Liu, Yang and Sun, Kai},
+             journal={IEEE Open Access Journal of Power and Energy}, 
+             title={PowerSAS.m – An Open-Source Power System Simulation Toolbox Based on Semi-Analytical Solution Technologies}, 
+             year={2023},
+             doi={10.1109/OAJPE.2023.3245040}
+            }
+
 ### Acknowledgement
 This work is supported by the Laboratory Directed Research and Development (LDRD) program of Argonne National Laboratory, provided by the U.S. Department of Energy Office of Science under Contract No. DE-AC02-06CH11357, and the U.S. Department of Energy Office of Electricity, Advanced Grid Modeling program under Grant DE-OE0000875.
 
 ### Publications
-* Rui Yao, Kai Sun, Feng Qiu, “Vectorized Efficient Computation of Padé Approximation for Semi-Analytical Simulation of Large-Scale Power Systems,” IEEE Transactions on Power Systems, 34 (5), 3957-3959, 2019.
-* Rui Yao, Yang Liu, Kai Sun, Feng Qiu, Jianhui Wang,"Efficient and Robust Dynamic Simulation of Power Systems with Holomorphic Embedding", IEEE Transactions on Power Systems, 35 (2), 938 - 949, 2020.
-* Rui Yao, Feng Qiu, "Novel AC Distribution Factor for Efficient Outage Analysis", IEEE Transactions on Power Systems, 35 (6), 4960-4963, 2020.
-* Xin Xu, Rui Yao, Kai Sun, Feng Qiu, "A Semi-Analytical Solution Approach for Solving Constant-Coefficient First-Order Partial Differential Equations", IEEE Control Systems Letters, 6, 704-709, 2021.
-* Rui Yao, Feng Qiu, Kai Sun, “Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding”, IEEE Transactions on Power Systems, in press.
+* Jianzhe Liu, Rui Yao, Feng Qiu, Yang Liu and Kai Sun, "PowerSAS.m – An Open-Source Power System Simulation Toolbox Based on Semi-Analytical Solution Technologies," in IEEE Open Access Journal of Power and Energy, 2023.
+* Rui Yao, Kai Sun and Feng Qiu, “Vectorized Efficient Computation of Padé Approximation for Semi-Analytical Simulation of Large-Scale Power Systems,” IEEE Transactions on Power Systems, 34 (5), 3957-3959, 2019.
+* Rui Yao, Yang Liu, Kai Sun and Feng Qiu, Jianhui Wang,"Efficient and Robust Dynamic Simulation of Power Systems with Holomorphic Embedding", IEEE Transactions on Power Systems, 35 (2), 938 - 949, 2020.
+* Rui Yao and Feng Qiu, "Novel AC Distribution Factor for Efficient Outage Analysis", IEEE Transactions on Power Systems, 35 (6), 4960-4963, 2020.
+* Xin Xu, Rui Yao, Kai Sun and Feng Qiu, "A Semi-Analytical Solution Approach for Solving Constant-Coefficient First-Order Partial Differential Equations", IEEE Control Systems Letters, 6, 704-709, 2021.
+* Rui Yao, Feng Qiu and Kai Sun, “Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding”, IEEE Transactions on Power Systems, 2022.
 
 ### License
 This software is under BSD license. Please refer to LICENSE.md for details.