The application of bus-split method for aggregating distributed generation units

This paper presents the development and performance testing of a modified bus-split method for aggregating interconnected distributed generation units (DGUs). The modified bus-split method is developed by introducing power-based models for interconnected DGUs. These power-based models are generalized for DGUs that are interconnected to a 1φ or a 3φ distribution network. The modified bus-split aggregation method can be beneficial for determining possible offsets of conventional power generation, as well as improving the management of peak-demand conditions. The injected power-based bus-split aggregation method is implemented for performance testing using collected data from several wind and photovoltaic energy conversion systems, which are interconnected at different locations of the distribution network. Test results demonstrate accurate and reliable aggregation without sensitivity to the interface type, power ratings, location, voltage level at the interconnection node, and/or configuration (1φ or 3φ).

[1]  Ana Busic,et al.  Ancillary Service to the Grid Using Intelligent Deferrable Loads , 2014, IEEE Transactions on Automatic Control.

[2]  Anjia Mao,et al.  A Trend-Oriented Power System Security Analysis Method Based on Load Profile , 2014, IEEE Transactions on Power Systems.

[3]  Madeleine Gibescu,et al.  Short-Term Energy Balancing With Increasing Levels of Wind Energy , 2012 .

[4]  Tyrone L. Vincent,et al.  Aggregate Flexibility of Thermostatically Controlled Loads , 2015, IEEE Transactions on Power Systems.

[5]  S. A. Saleh,et al.  Load Aggregation From Generation-Follows-Load to Load-Follows-Generation: Residential Loads , 2016, IEEE Transactions on Industry Applications.

[6]  Francisco D. Galiana,et al.  Unit Commitment Incorporating Histogram Control of Electric Loads With Energy Storage , 2016, IEEE Transactions on Power Systems.

[7]  Wei Cao,et al.  Direct Load Control in Microgrids to Enhance the Performance of Integrated Resources Planning , 2014, IEEE Transactions on Industry Applications.

[8]  Paolo Mattavelli,et al.  Improving Microgrid Performance by Cooperative Control of Distributed Energy Sources , 2014, IEEE Transactions on Industry Applications.

[9]  Xiaodong Liang,et al.  Bus-Split Algorithm for Aggregation of Induction Motors and Synchronous Motors in Dynamic Load Modeling , 2014, IEEE Transactions on Industry Applications.

[10]  Xiaodong Liang,et al.  Emerging Power Quality Challenges Due to Integration of Renewable Energy Sources , 2016, IEEE Transactions on Industry Applications.

[11]  S. A. Saleh,et al.  The Development of a Coordinated Anti-Islanding Protection for Collector Systems With Multiple Distributed Generation Units , 2016, IEEE Transactions on Industry Applications.

[12]  C. J. Mozina,et al.  Impact of Smart Grids and Green Power Generation on Distribution Systems , 2012, IEEE Transactions on Industry Applications.

[13]  Joshua A. Taylor,et al.  Index Policies for Demand Response , 2014, IEEE Transactions on Power Systems.

[14]  S. A. Saleh,et al.  The development and testing of a coordinated anti-islanding protection for collector systems with multiple distributed generation units , 2016, 2016 IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference (I&CPS).

[15]  S. A. Saleh,et al.  The bus-split method for residential load aggregation , 2017, 2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS).

[16]  C.A. Canizares,et al.  On the parameter estimation and modeling of aggregate power system loads , 2004, IEEE Transactions on Power Systems.

[17]  E. Barocio,et al.  Comparison of Dimensionality Reduction Techniques for Clustering and Visualization of Load Profiles , 2016, 2016 IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA).

[18]  M. Tartaglia,et al.  Electrical Impact of Photovoltaic Plant in Distributed Network , 2007, IEEE Transactions on Industry Applications.

[19]  Benjamin Kroposki,et al.  Selection of Distribution Feeders for Implementing Distributed Generation and Renewable Energy Applications , 2013, IEEE Transactions on Industry Applications.

[20]  Petrus Pijnenburg,et al.  Performance Evaluation of the ZIP Model-Phaselet Frame Approach for Identifying Appliances in Residential Loads , 2016 .

[21]  M. Shahidehpour,et al.  A Hybrid Model for Day-Ahead Price Forecasting , 2010, IEEE Transactions on Power Systems.