Grid incremental capacity evaluation with an optimally deployed photovoltaic system in distribution network

The impact of the inevitable load growth on the power delivery elements (PDE) of the distribution system poses a major challenge to distribution planners with the loading of the PDE coming close to the system constraints. Also, as demand continues to outpace new feeder construction, utilizing distributed generation (DG) capacity to provide incremental capacity and peak load relief is becoming a viable alternative. This paper presents the released capacity analysis as a result of an optimally deployed photovoltaic (PV) system on the IEEE 34 distribution test network. Two critical energy metrics, energy at the risk of being unserved and unserved energy, have been used to determine the additional load serving capacity and duration of upgrade deferral made possible by the integration of the PV system. This particular PV-DG application is suitable for distribution networks with predominantly commercial loads because of the coincidence between the demand and irradiance peaks.

[1]  S.K. Agarwal,et al.  Reliability modeling of distributed generation in conventional distribution systems planning and analysis , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[2]  Ramesh C. Bansal,et al.  Analytical strategies for renewable distributed generation integration considering energy loss minimization , 2013 .

[3]  Ajeet Rohatgi,et al.  Integration of Photovoltaic Distributed Generation in the Power Distribution Grid , 2012, 2012 45th Hawaii International Conference on System Sciences.

[4]  Math Bollen,et al.  Integration of Distributed Generation in the Power System , 2008 .

[5]  Nikos D. Hatziargyriou,et al.  Optimal Distributed Generation Placement in Power Distribution Networks : Models , Methods , and Future Research , 2013 .

[6]  B. Kroposki,et al.  Distribution System Voltage Performance Analysis for High-Penetration PV , 2008, 2008 IEEE Energy 2030 Conference.

[7]  Michael Emmanuel,et al.  Evolution of dispatchable photovoltaic system integration with the electric power network for smart grid applications: A review , 2017 .

[8]  B. Kroposki,et al.  Steady-State Analysis of Maximum Photovoltaic Penetration Levels on Typical Distribution Feeders , 2013, IEEE Transactions on Sustainable Energy.

[9]  R.C. Dugan Computing Incremental Capacity Provided By Distributed Resources For Distribution Planning , 2007, 2007 IEEE Power Engineering Society General Meeting.

[10]  Miroslav Begovic,et al.  Placement of distributed generators and reclosers for distribution network security and reliability , 2005 .

[11]  Roger C. Dugan,et al.  Including distributed resources in distribution planning , 2004 .

[12]  Kashem M. Muttaqi,et al.  Capacity deferral credit evaluation of renewable distributed generation , 2013, 2013 IEEE Industry Applications Society Annual Meeting.

[13]  Hussein T. Mouftah,et al.  Smart Grid : Networking, Data Management, and Business Models , 2016 .