A Linearized Optimal Power Flow Framework for a Balanced Active Distribution Network

The distribution system is experiencing a paradigm shift in its operation with the integration of distributed energy resources (DERs). The integration of DERs is increasing at a rapid pace due to the increasing energy demand and carbon footprint. Therefore, the role of the distribution network operator is also getting crucial for the overall distribution grid operation. Active operation of the distribution network is need of the hour which can be accomplished by performing the optimal power flow (OPF) calculations. In this paper, a linearized OPF formulation is proposed for a balanced distribution system to schedule the DERs in the light of network constraints. The nonlinear power flow equations are appropriately linearized for the proposed OPF formulation. The losses in the distribution lines are incorporated through an iterative process. The accuracy and performance of proposed OPF formulation is examined on IEEE 33-bus radial, 69-bus radial, and 69-bus weakly meshed networks.

[1]  M. B. Cain,et al.  History of Optimal Power Flow and Formulations , 2012 .

[2]  Hugo Morais,et al.  Active Distribution Grid Management Based on Robust AC Optimal Power Flow , 2018, IEEE Transactions on Smart Grid.

[3]  J. Teng A direct approach for distribution system load flow solutions , 2003 .

[4]  P.P. Barker,et al.  Determining the impact of distributed generation on power systems. I. Radial distribution systems , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[5]  A. Keane,et al.  Minimizing the Reactive Support for Distributed Generation: Enhanced Passive Operation and Smart Distribution Networks , 2011, IEEE Transactions on Power Systems.

[6]  Gabriela Hug,et al.  Data-Driven Local Control Design for Active Distribution Grids Using Off-Line Optimal Power Flow and Machine Learning Techniques , 2019, IEEE Transactions on Smart Grid.

[7]  Zhao Yuan,et al.  Distribution Locational Marginal Pricing by Convexified ACOPF and Hierarchical Dispatch , 2018, IEEE Transactions on Smart Grid.

[8]  Jie Li,et al.  Distribution System Restructuring: Distribution LMP via Unbalanced ACOPF , 2018, IEEE Transactions on Smart Grid.

[9]  Timothy C. Green,et al.  Optimal power flow for autonomous regional active network management system , 2009, 2009 IEEE Power & Energy Society General Meeting.

[10]  P. Sotkiewicz,et al.  Nodal pricing for distribution networks: efficient pricing for efficiency enhancing DG , 2006, IEEE Transactions on Power Systems.

[11]  W. Sheng,et al.  Optimal power flow algorithm and analysis in distribution system considering distributed generation , 2014 .

[12]  Canbing Li,et al.  Chance-Constrained Optimization-Based Unbalanced Optimal Power Flow for Radial Distribution Networks , 2013, IEEE Transactions on Power Delivery.

[13]  Sairaj V. Dhople,et al.  Scalable Optimization Methods for Distribution Networks With High PV Integration , 2016, IEEE Transactions on Smart Grid.

[14]  Fangxing Li,et al.  Novel Linearized Power Flow and Linearized OPF Models for Active Distribution Networks With Application in Distribution LMP , 2018, IEEE Transactions on Smart Grid.

[15]  Thomas Hamacher,et al.  Distributed Congestion Management of Distribution Grids Under Robust Flexible Buildings Operations , 2017, IEEE Transactions on Power Systems.

[16]  Vaskar Sarkar,et al.  Implementation of lossy FTRs for perfect risk hedging under the marginal loss pricing , 2017 .

[17]  Ivana Kockar,et al.  Dynamic Optimal Power Flow for Active Distribution Networks , 2014, IEEE Transactions on Power Systems.

[18]  Hoay Beng Gooi,et al.  Decomposition and Equilibrium Achieving Distribution Locational Marginal Prices Using Trust-Region Method , 2019, IEEE Transactions on Smart Grid.