An enhanced 2-D locational marginal pricing with FACTS devices under variable bus voltage profile

The objective of this paper is to propose an AC optimal power flow (OPF) framework to perform locational marginal pricing (LMP) in the presence of voltage-dependent active and reactive power loads, and FACTS devices. The classical 2-D LMP assumes the load power factors to be independent of voltage magnitudes. This assumption is applicable only for the constant power load. The voltage dependency of the loads can affect the OPF result as well as the LMP. Therefore, in this paper, generalized voltage dependent load modeling is used which can consider any type of load. There can be multiple load bid requests of multiple load types from the same location. The reactive power compensators are also modeled as voltage dependent entities. Different active and reactive power LMPs are obtained for different types of loads and compensators. The proposed methodology is illustrated through a suitable case study.

[1]  Z. Alaywan,et al.  Locational marginal price calculations using the distributed-slack power-flow formulation , 2005, IEEE Transactions on Power Systems.

[2]  S. A. Khaparde,et al.  Reactive Power Constrained OPF Scheduling With 2-D Locational Marginal Pricing , 2013, IEEE Transactions on Power Systems.

[3]  V. Sarkar,et al.  DCOPF-Based Marginal Loss Pricing With Enhanced Power Flow Accuracy by Using Matrix Loss Distribution , 2009, IEEE Transactions on Power Systems.

[4]  M. S. Pasquadibisceglie,et al.  Enhanced security-constrained OPF with FACTS devices , 2005, IEEE Transactions on Power Systems.

[5]  Federico Milano,et al.  OPF-based security redispatching including FACTS devices , 2008 .

[6]  T. Overbye,et al.  An energy reference bus independent LMP decomposition algorithm , 2006, IEEE Transactions on Power Systems.

[7]  Jose Luiz Rezende Pereira,et al.  Flexible AC transmission system devices: allocation and transmission pricing , 1999 .

[8]  Yong Fu,et al.  Different models and properties on LMP calculations , 2006, 2006 IEEE Power Engineering Society General Meeting.

[9]  G. Gross,et al.  A General Formulation for LMP Evaluation , 2012, IEEE Transactions on Power Systems.

[10]  N. Hingorani Role of FACTS in a deregulated market , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[11]  Tongxin Zheng,et al.  Marginal loss modeling in LMP calculation , 2004, IEEE Transactions on Power Systems.

[12]  A. Kumar,et al.  Effect of optimally located FACTS devices on active and reactive power price in deregulated electricity markets , 2006, 2006 IEEE Power India Conference.

[13]  Fangxing Li,et al.  DCOPF-Based LMP simulation: algorithm, comparison with ACOPF, and sensitivity , 2007, 2008 IEEE/PES Transmission and Distribution Conference and Exposition.

[14]  N. P. Padhy,et al.  Influence of Price Responsive Demand Shifting Bidding on Congestion and LMP in Pool-Based Day-Ahead Electricity Markets , 2011, IEEE Transactions on Power Systems.

[15]  S. C. Srivastava,et al.  Impact of FACTS devices on transmission pricing in a de-regulated electricity market , 2000, DRPT2000. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. Proceedings (Cat. No.00EX382).