Value of regional constraint management services of vector-bridging systems in a heavily constrained network

Abstract While a lot of countries put renewable energy sources at the heart of their decarbonization strategies with directed incentive mechanisms, the variability of the renewable energy sources, remains a major challenge for electricity system operators in ensuring the security of supply. This challenge is particularly onerous when there is a coincidence between this variability and congestion of the tie-lines. Renewable generation spillage often leads to constraints being placed on the output of renewable energy sources. This situation causes a significant cost for electricity system operators due to the need for constraint payments to be made to renewable generations. These increased costs will ultimately be recovered from energy customers. Maintaining the balance in the aforementioned decarbonization, security of supply and affordability is a challenge that constitutes the energy trilemma. The integration of electric power systems with other energy infrastructures, e.g., natural gas, could be a promising solution for achieving a balanced performance in the energy trilemma, controlling the fluctuation of renewable energy sources, and increasing the flexibility of the integrated systems. Considering this, a hybrid bridging-operational framework based on the vector-bridging system concept is proposed. Also, a day-ahead integrated scheduling model is proposed that optimizes the integrated operation by considering the constraint payment costs in a linear optimization model. Simulation results on a large test system indicated that the hybrid bridging-operational framework could reduce the total cost of the congested system by 65% and release up to 10% of the pipeline capacities while harvesting the wind generation and removing constraint payments to wind generators.

[1]  Mohammad Shahidehpour,et al.  Robust Co-Optimization Scheduling of Electricity and Natural Gas Systems via ADMM , 2017, IEEE Transactions on Sustainable Energy.

[2]  Pengfei Zhao,et al.  Two-Stage Distributionally Robust Optimization for Energy Hub Systems , 2020, IEEE Transactions on Industrial Informatics.

[3]  Zhe Chen,et al.  Dynamic Optimal Energy Flow in the Integrated Natural Gas and Electrical Power Systems , 2018, IEEE Transactions on Sustainable Energy.

[4]  Tao Jiang,et al.  Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process , 2017 .

[5]  Abdullah Abusorrah,et al.  Coordination of Interdependent Natural Gas and Electricity Infrastructures for Firming the Variability of Wind Energy in Stochastic Day-Ahead Scheduling , 2015, IEEE Transactions on Sustainable Energy.

[6]  Pierluigi Mancarella,et al.  Integrated Modeling and Assessment of the Operational Impact of Power-to-Gas (P2G) on Electrical and Gas Transmission Networks , 2015, IEEE Transactions on Sustainable Energy.

[7]  Jacquelien M. A. Scherpen,et al.  Distributed Supply Coordination for Power-to-Gas Facilities Embedded in Energy Grids , 2015, IEEE Transactions on Smart Grid.

[8]  Amjad Anvari-Moghaddam,et al.  A Novel Hybrid Framework for Co-Optimization of Power and Natural Gas Networks Integrated With Emerging Technologies , 2020, IEEE Systems Journal.

[9]  Sheng Chen,et al.  Multi-Linear Probabilistic Energy Flow Analysis of Integrated Electrical and Natural-Gas Systems , 2017, IEEE Transactions on Power Systems.

[10]  Mohammad SHAHIDEHPOUR,et al.  Robust coordination of interdependent electricity and natural gas systems in day-ahead scheduling for facilitating volatile renewable generations via power-to-gas technology , 2017 .

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

[12]  M. Shahidehpour,et al.  Hourly Electricity Demand Response in the Stochastic Day-Ahead Scheduling of Coordinated Electricity and Natural Gas Networks , 2016, IEEE Transactions on Power Systems.

[13]  Vahid Vahidinasab,et al.  Coordinated scheduling of energy storage systems as a fast reserve provider , 2021 .

[14]  Shengwei Mei,et al.  Strategic Offering and Equilibrium in Coupled Gas and Electricity Markets , 2016, IEEE Transactions on Power Systems.

[15]  Vahid Vahidinasab,et al.  An Enhanced Contingency-Based Model for Joint Energy and Reserve Markets Operation by Considering Wind and Energy Storage Systems , 2020, IEEE Transactions on Industrial Informatics.

[16]  F. Graf,et al.  Renewable Power-to-Gas: A technological and economic review , 2016 .

[17]  Dan Wang,et al.  Steady state and transient simulation for electricity-gas integrated energy systems by using convex optimisation , 2018 .

[18]  Mohammad Shahidehpour,et al.  Optimal Operation Strategy for Integrated Natural Gas Generating Unit and Power-to-Gas Conversion Facilities , 2018, IEEE Transactions on Sustainable Energy.

[19]  Zhinong WEI,et al.  Multi-period integrated natural gas and electric power system probabilistic optimal power flow incorporating power-to-gas units , 2017 .

[20]  Mohammad Shahidehpour,et al.  Impact of Natural Gas Infrastructure on Electric Power Systems , 2005, Proceedings of the IEEE.

[21]  Goran Strbac,et al.  Efficacy of options to address balancing challenges: Integrated gas and electricity perspectives , 2017 .

[22]  Jianzhong Wu,et al.  Role of power-to-gas in an integrated gas and electricity system in Great Britain , 2015 .

[23]  Ramteen Sioshansi,et al.  Unit commitment under gas-supply uncertainty and gas-price variability , 2017, 2017 IEEE Power & Energy Society General Meeting.

[24]  Mohammad Shahidehpour,et al.  Optimal Stochastic Operation of Integrated Low-Carbon Electric Power, Natural Gas, and Heat Delivery System , 2018, IEEE Transactions on Sustainable Energy.

[25]  M. Jentsch,et al.  Optimal Use of Power-to-Gas Energy Storage Systems in an 85% Renewable Energy Scenario , 2014 .

[26]  Markus Lehner,et al.  Power-to-Gas: Technology and Business Models , 2014 .