Distribution System Expansion Planning Considering Non-Utility-Owned DG and an Independent Distribution System Operator

This paper addresses the multistage or dynamic investment decision-making problem arising in a distribution system within a transactive energy environment. Under such a framework, three agents are involved, namely the distribution company (DISCO), the owner of distributed generation (DG) units (DGENCO), and the independent distribution system operator (IDSO). Here, we propose characterizing this planning problem as an instance of trilevel programming. In the upper level, the DISCO identifies the optimal investment plan in network assets and the best potential locations for DG in order to supply the customer demand at maximum profit. In the middle level, the DGENCO determines the best location, sizing, and timing for DG installation so that the corresponding profit is maximized. Finally, in the lower level, the IDSO is responsible for the optimal operation of the expanded distribution system. The resulting mixed-integer trilevel program is solved by a novel approach relying on Benders decomposition. The performance of the proposed approach has been illustrated with a case study based on a 37-node test system.

[1]  Jonathan F. Bard,et al.  An explicit solution to the multi-level programming problem , 1982, Comput. Oper. Res..

[2]  Paul H. Calamai,et al.  Bilevel and multilevel programming: A bibliography review , 1994, J. Glob. Optim..

[3]  C. Floudas.  Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications , 1995 .

[4]  William Kersting,et al.  Distribution System Modeling and Analysis , 2001, Electric Power Generation, Transmission, and Distribution: The Electric Power Engineering Handbook.

[5]  W. H. Kersting,et al.  Radial distribution test feeders , 1991, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[6]  Jacques F. Benders,et al.  Partitioning procedures for solving mixed-variables programming problems , 2005, Comput. Manag. Sci..

[7]  Rafael Cossent,et al.  Improvements in current European network regulation to facilitate the integration of distributed generation , 2009 .

[8]  Jose M. Arroyo,et al.  Bilevel programming applied to power system vulnerability analysis under multiple contingencies , 2010 .

[9]  Natalia Alguacil,et al.  Analysis of Electric Grid Interdiction With Line Switching , 2010, IEEE Transactions on Power Systems.

[10]  Mehdi Ehsan,et al.  Hybrid immune-genetic algorithm method for benefit maximisation of distribution network operators and distributed generation owners in a deregulated environment , 2011 .

[11]  Luis F. Ochoa,et al.  State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization , 2013, IEEE Transactions on Power Systems.

[12]  Jose M. Arroyo,et al.  Energy and Reserve Scheduling Under a Joint Generation and Transmission Security Criterion: An Adjustable Robust Optimization Approach , 2014, IEEE Transactions on Power Systems.

[13]  Eva Blasco Hedo.  Ley 24/2013, de 26 de diciembre, del Sector Eléctrico. (BOE núm. 310, de 27 de diciembre de 2013) , 2014 .

[14]  Nikos D. Hatziargyriou,et al.  A review of power distribution planning in the modern power systems era: Models, methods and future research , 2015 .

[15]  Jose M. Arroyo,et al.  An Adjustable Robust Optimization Approach for Contingency-Constrained Transmission Expansion Planning , 2015, IEEE Transactions on Power Systems.

[16]  Javier Contreras,et al.  Joint expansion planning of distributed generation and distribution networks , 2015 .

[17]  Ming Zeng,et al.  A bilevel planning method of active distribution system for renewable energy harvesting in a deregulated environment , 2015, 2015 IEEE Power & Energy Society General Meeting.

[18]  Shay Bahramirad,et al.  The Interface of Power: Moving Toward Distribution System Operators , 2016, IEEE Power and Energy Magazine.

[19]  Fred Fletcher,et al.  The Changing Electrical Landscape: End-to-End Power System Operation Under the Transactive Energy Paradigm , 2016, IEEE Power and Energy Magazine.

[20]  J. R. Aguero,et al.  Sharing the Ride of Power: Understanding Transactive Energy in the Ecosystem of Energy Economics , 2016, IEEE Power and Energy Magazine.

[21]  Jianhua Zhang,et al.  A multi-level approach to active distribution system planning for efficient renewable energy harvesting in a deregulated environment , 2016 .

[22]  Vahid Vahidinasab,et al.  SoS-based multiobjective distribution system expansion planning , 2016 .

[23]  Javier Contreras,et al.  Multistage generation and network expansion planning in distribution systems considering uncertainty and reliability , 2016, 2017 IEEE Power & Energy Society General Meeting.