DOI:10.1007/s40565-017-0276-1 |
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Multi-period integrated natural gas and electric power systemprobabilistic optimal power flow incorporating power-to-gas units |
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Page view: 0
Net amount: 1316 |
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Author:
Guoqiang SUN1
, Shuang CHEN1
, Zhinong WEI1
, Sheng CHEN1
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Author Affiliation:
1 College of Energy and Electrical Engineering, Hohai
University, Nanjing 210098, China
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Foundation: |
National NaturalScience Foundation of China (No. 51277052, No. 51407125) |
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Abstract: |
t The increasing adoption of gas-fired power
plants directly strengthens the coupling between electric
power and natural gas systems. Current industrial practice
in optimal power flow for electric power systems has not
taken the security constraints of gas systems into consideration,
resulting in an overly-optimistic solution. Meanwhile,
the operation of electric power and natural gas
systems is coupled over multiple periods because of the
ramp rate limits of power generators and the slow
dynamical characteristics of gas systems. Based on these
motivations, we propose a multi-period integrated natural
gas and electric power system probabilistic optimal power
flow (M-GEPOPF) model, which includes dynamic gas
flow models. To address the uncertainties originating from
wind power and load forecasting, a probabilistic optimal
power flow (POPF) calculation based on a three-point
estimate method (3PEM) is adopted. Moreover, power-togas
(PtG) units are employed to avoid wind power curtailment
and enable flexible bi-directional energy flows
between the coupled energy systems. An integrated IEEE
RTS 24-bus electric power system and the Belgian 20-node
natural gas system are employed as a test case to verify the
applicability of the proposed M-GEPOPF model, and to
demonstrate the potential economic benefits of PtG units. |
Keywords: |
Natural gas and electric power system,Network interdependency, Optimal power flow,Uncertainty, Power-to-gas unit |
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Online Time:2017/05/09 |
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