4.7 Article

Integrated Electricity and Hydrogen Energy Sharing in Coupled Energy Systems

Journal

IEEE TRANSACTIONS ON SMART GRID
Volume 12, Issue 2, Pages 1149-1162

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2020.3023716

Keywords

Hydrogen; Energy storage; Batteries; State of charge; Renewable energy sources; Mathematical model; Vehicle-to-grid; Energy sharing; integration of hydrogen and electricity; power-to-gas; PH2EVs; distributed optimization

Funding

  1. ARC Research Hub [IH180100020]
  2. ARC Training Centre [IC200100023]
  3. Sir William Tyree Foundation-Distributed Power Generation Research Fund
  4. Training Program of the Major Research Plan of the National Natural Science Foundation of China [91746118]
  5. Shenzhen Municipal Science and Technology Innovation Committee [ZDSYS20170725140921348, JCYJ20170410172224515, JCYJ20160510153103492]
  6. NARI Technology Research Grant (Comprehensive Energy System Simulation and Assessment Key Technology Research)

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This article proposes an energy sharing model in the forms of hydrogen and electricity and applies distributed optimization method to solve the problem, which can protect the privacy of each aggregator and reduce computational complexity. Simulation results show that the sharing amount of different kinds of energy and the unified market clearing prices can be obtained, achieving the maximum total social welfare and the lowest total system cost.
Given that the capital cost of energy storage systems is still high, the concept of energy sharing attracts more attention. In this article, an energy sharing model in the forms of hydrogen and electricity is proposed. In this integrated sharing system, besides the aggregators who own power-to-gas (P2G) devices, plug-in hybrid electric and hydrogen vehicles (PH2EVs) aggregators become the new coupling points of the electricity network and gas network, because they can either consume electricity or hydrogen. In the objective function, the total social welfare considering energy dispatch in different systems is maximized. The distributed optimization method is applied to solve the formulated problem. In this way, the privacy of each aggregator can be protected. When the aggregator solves its sub-problem, it is not necessary to obtain all the system information. Besides, the computational complexity is reduced through the distributed optimization. Simulations are conducted on a 35-bus electricity network coupled with a 15-bus gas network. The simulation results reveal that the sharing amount of different kinds of energy can be obtained and the unified market clearing prices of each kind of energy can be achieved. It can be concluded that with the integrated energy sharing of hydrogen and electricity, the total system cost is the lowest and the largest total social welfare can be reached. Besides, the distributed energy storage can be more effective to improve the system stability.

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