A systematic approach to evaluating the influence of demand side management resources on the interarea capacity benefit margin

Available transfer capability is an index to measure the security and economic viability of an interconnected system. However, to accurately determine this index, other associated parameters need to be accurately evaluated. One of these parameters is the capacity benefit margin (CBM). For efficient power generation reliability and sustainability, a certain amount of supply capacity is commonly reserved by utilities, which in most cases remain unused, to reduce the effect of generation outage. To minimize this unused reserve, utilities usually reserve a predetermined amount of tie-line capacity between interconnected areas to have access to external supply. This tie-line reserved for this purpose is termed as capacity benefit margin (CBM). In this paper a technique for computing CBM is used, the sensitivity of CBM support from other areas to the increase in load in one of the areas is investigated, and conclusively, demand side management is proposed to improve the quantification of CBM. The contribution of this work is the assessment of the CBMs support from other areas during a critical condition, using the flexibility of DSM technique. The modified 24-bus IEEE reliability test system is employed for the verification of the approach.

[1]  Mahmud Fotuhi-Firuzabad,et al.  Impact of load management on composite system reliability evaluation short-term operating benefits , 2000 .

[2]  Ismail Musirin,et al.  A Heuristic Ranking Approach on Capacity Benefit Margin Determination Using Pareto-Based Evolutionary Programming Technique , 2015, TheScientificWorldJournal.

[3]  Jizhong Zhu,et al.  Optimization of Power System Operation , 2009 .

[4]  Wenyuan Li,et al.  Reliability Assessment of Electric Power Systems Using Monte Carlo Methods , 1994 .

[5]  Ahad Kazemi,et al.  A multi-stage stochastic transmission expansion planning method , 2011 .

[6]  Adrian V. Gheorghe,et al.  Critical Infrastructures at Risk , 2006 .

[7]  C. Singh,et al.  Determination of Capacity Benefit Margin in Multiarea Power Systems Using Particle Swarm Optimization , 2009, IEEE Transactions on Power Systems.

[8]  S.C. Savulescu A metric for quantifying the risk of blackout , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[9]  A. Al-Shaalan Reliability Evaluation of Power Systems , 2019, Reliability and Maintenance - An Overview of Cases.

[10]  Arif S. Malik Simulation of DSM resources as generating units in probabilistic production costing framework , 1998 .

[11]  Adrian V. Gheorghe Critical Infrastructures at Risk: Securing the European Electric Power System , 2006 .

[12]  K. Manivannan,et al.  Computation of Capacity Benefit Margin using Differential Evolution , 2010, Int. J. Comput. Sci. Math..

[13]  F. Alvarado,et al.  Electric Power Transfer Capability : Concepts , Applications , Sensitivity , Uncertainty , 2002 .

[14]  Mohd Wazir Mustafa,et al.  Available transfer capability calculation methods: A comprehensive review , 2019, International Transactions on Electrical Energy Systems.

[15]  Mohammad Shahidehpour,et al.  The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee , 1999 .

[16]  Rong-fu Sun,et al.  Capacity benefit margin assessment based on multi-area generation reliability exponential analytic model , 2008 .

[17]  Chanan Singh,et al.  Capacity Benefit Margin Evaluation in Multi-area Power Systems Including Wind Power Generation Using Particle Swarm Optimization , 2010 .

[18]  Muhammad Murtadha Othman,et al.  Available transfer capability assessment using evolutionary programming based capacity benefit margin , 2006 .

[19]  Habib Daryabad Investigating the Effect of Demand Side Management on the Power System Reliability , 2015 .

[20]  Jun Wang,et al.  Research on Effect of Renewable Energy Power Generation on Available Transfer Capability , 2013, J. Softw..

[21]  Muhammad Murtadha Othman,et al.  Capacity Benefit Margin (CBM) assessment incorporating tie-line reliability , 2010, 2010 4th International Power Engineering and Optimization Conference (PEOCO).

[22]  Gengyin Li,et al.  Study on improvement of available transfer capability by Demand Side Management , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[23]  C. Singh,et al.  Assessment of Available Transfer Capability and Margins , 2002, IEEE Power Engineering Review.

[24]  P. Kundur,et al.  Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions , 2004, IEEE Transactions on Power Systems.

[25]  A. P. Ford,et al.  Market based adequacy: reliability and CBM/ATC calculations. An independent system operator's perspective , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[26]  Alireza Mousavi,et al.  Hybrid Mutation Particle Swarm Optimisation method for Available Transfer Capability enhancement , 2012 .