Dynamic long-term expansion planning of generation resources and electric transmission network in multi-carrier energy systems

Abstract In this paper, a new framework is proposed for long-term generation and transmission expansion planning in multi-carrier energy systems (MCES). The MCES considered here consists of combined heat and power (CHP), gas furnace, power generation unit and transmission lines associated to natural gas and electrical networks. In the proposed framework, by minimizing the total investment and operation costs, optimal capacity, location and time of installing of new heat and electrical generation resources and also electric transmission lines are determined in a multi-year horizon. A linearized AC load flow equations is used for modeling effects of electric transmission network and is compared with DC load flow model. Also, a linearized model of accurate gas flow equations in natural gas transmission pipelines is used and is compared with a simple model. By using linear models for energy transmission network, the expansion problem is converted to a mixed integer linear programming (MILP) problem. By solving the MILP model by GAMS in which mathematical algorithm is used, optimal operation and expansion strategies on heat and power generation resources as well as electric transmission lines are obtained over the planning horizon. Performance of the proposed model is evaluated through two system tests, where transmission losses, overall system efficiency, reliability of supply and emissions are considered as metrics. Simulation results show importance of energy transmission network modeling in investment and operation of MCES in the long-term.

[1]  Abdullah Abusorrah,et al.  Optimal Expansion Planning of Energy Hub With Multiple Energy Infrastructures , 2015, IEEE Transactions on Smart Grid.

[2]  Hamidreza Zareipour,et al.  A Probabilistic Energy Management Scheme for Renewable-Based Residential Energy Hubs , 2017, IEEE Transactions on Smart Grid.

[3]  Farrokh Aminifar,et al.  A new formulation for power system reliability assessment with AC constraints , 2014 .

[4]  Sadegh Vaez-Zadeh,et al.  Optimal planning of energy hubs in interconnected energy systems: a case study for natural gas and electricity , 2015 .

[5]  Petros A. Pilavachi,et al.  A decision support model for combined heat and power economic evaluation , 2012 .

[6]  Michael Chertkov,et al.  Coordinated Scheduling for Interdependent Electric Power and Natural Gas Infrastructures , 2017 .

[7]  João P. S. Catalão,et al.  Modeling Operational Behavior of Plug-in Electric Vehicles’ Parking Lot in Multienergy Systems , 2016, IEEE Transactions on Smart Grid.

[8]  Alfredo Vaccaro,et al.  A robust optimization approach to energy hub management , 2012 .

[9]  Samaneh Pazouki,et al.  Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty , 2016 .

[10]  Hamdi Abdi,et al.  A general model for energy hub economic dispatch , 2017 .

[11]  M. Shahidehpour,et al.  Interdependency of Natural Gas Network and Power System Security , 2008, IEEE Transactions on Power Systems.

[12]  Amir Safdarian,et al.  Integration of Price-Based Demand Response in DisCos' Short-Term Decision Model , 2014, IEEE Transactions on Smart Grid.

[13]  Clodomiro Unsihuay-Vila,et al.  A Model to Long-Term, Multiarea, Multistage, and Integrated Expansion Planning of Electricity and Natural Gas Systems , 2010, IEEE Transactions on Power Systems.

[14]  M. Moradi-Dalvand,et al.  Optimal Design of Multicarrier Energy Systems Considering Reliability Constraints , 2015, IEEE Transactions on Power Delivery.

[15]  Hamdi Abdi,et al.  Economic dispatch of multiple energy carriers , 2017 .

[16]  Abdullah Abusorrah,et al.  Stochastic Security-Constrained Scheduling of Coordinated Electricity and Natural Gas Infrastructures , 2017, IEEE Systems Journal.

[17]  Pierluigi Mancarella,et al.  Flexible distributed multienergy generation system expansion planning under uncertainty , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[18]  François Maréchal,et al.  Methods for multi-objective investment and operating optimization of complex energy systems , 2012 .

[19]  Xifan Wang,et al.  An MILP-Based Optimal Power Flow in Multicarrier Energy Systems , 2017, IEEE Transactions on Sustainable Energy.

[20]  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 .