Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 9, Issue 4, Pages 1870-1879Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2018.2818133
Keywords
Power-to-gas (P2G); natural gas generating unit (NGG); conditional value-at-risk (CVaR); Shapley-value; integrated bidding strategies
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Funding
- National Key Research and Development Program of China [2017YFB0903000]
- National Natural Science Foundation of China [51477151]
- Postdoctoral Innovation Talent Support Program of China [BX201700211]
- Guangzhou Power Supply Bureau Co., Ltd., China [GZHKJXM20160034]
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A scenario-based stochastic decision-making model is proposed in this paper to determine the optimal strategy for the operation of integrated natural gas generating unit (NGG) and power-to-gas conversion (P2G) facilities in energy and regulation markets. Using the proposed strategy, the coordination of NOG and P2G facilities will provide a higher market payoff than that of independent NGG and P2G participation. The market price uncertainty is simulated in multiple scenarios using the Latin hypercube sampling method and the conditional value-at-risk strategy is adopted for evaluating the financial risks introduced by price uncertainties. The optimal bidding strategy is developed for both P2G and NGG operations and the Shapley-value method is employed to allocate the market payoff among NGG and P2G facilities. A case study which is based on the Pennsylvania, New Jersey, and Maryland market data is employed to verify the effectiveness of the proposed model and examine the characteristics of the proposed bidding strategy for the optimal operation of integrated NOG and P2G facilities.
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