2019
DOI: 10.1155/2019/4634131
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Abstract: Currently the renewable energies including wind power and photovoltaic power have been increasingly deployed in power system to achieve contamination free and environmental-friendly power production. However, due to the natural characteristics of wind and solar, both wind power and photovoltaic power contain uncertainty and randomness which may significantly impact the stability, security, and economic efficiency of the conventional power system mainly consisted by hydropower and thermal power. To deal with th… Show more

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Cited by 9 publications
(11 citation statements)
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“…Such scholarly analyses, however, introduce errors in the modeling process by omitting to include the stochastic tendencies of solar PV and wind power [61][62][63]. Furthermore, by using deterministic and stochastic programming, Wei and Liu [64] tackled the uncertainties of solar PV and wind systems. The enhanced system security, coupled with limitations on the system economy and flexibility resulting from the deterministic inclusion of spinning reserve to the dispatch model, were revealed by Wei and Liu [64] and Liu et al [53].…”
Section: Role Of Renewable-energy Hybrid Systems In Energy Transition (Climate Mitigation and Dispatch)mentioning
confidence: 99%
See 2 more Smart Citations
“…Such scholarly analyses, however, introduce errors in the modeling process by omitting to include the stochastic tendencies of solar PV and wind power [61][62][63]. Furthermore, by using deterministic and stochastic programming, Wei and Liu [64] tackled the uncertainties of solar PV and wind systems. The enhanced system security, coupled with limitations on the system economy and flexibility resulting from the deterministic inclusion of spinning reserve to the dispatch model, were revealed by Wei and Liu [64] and Liu et al [53].…”
Section: Role Of Renewable-energy Hybrid Systems In Energy Transition (Climate Mitigation and Dispatch)mentioning
confidence: 99%
“…Furthermore, by using deterministic and stochastic programming, Wei and Liu [64] tackled the uncertainties of solar PV and wind systems. The enhanced system security, coupled with limitations on the system economy and flexibility resulting from the deterministic inclusion of spinning reserve to the dispatch model, were revealed by Wei and Liu [64] and Liu et al [53]. Dong et al [65] and Zou [66] revealed that by adopting a structured multi-scenario perspective, a stochastic optimization problem in nature was able to be converted to a deterministic one, with the inaccuracy in the optimization output being the main trade-off.…”
Section: Role Of Renewable-energy Hybrid Systems In Energy Transition (Climate Mitigation and Dispatch)mentioning
confidence: 99%
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“…Consequently, because of the uncertainties modeling ability using a large-size of stochastic scenarios, SO has been widely employed to solve the power system optimization tasks [30,34,24,16,29,44]. Although the authors claimed that SO can significantly reduce the expected operational cost than DO-based methods do, research [35] pointed out that SO-based decisions are overoptimistic as the worst-case scenarios are almost ignored. Additionally, two flaws of SO still need to be further addressed: massive scenarios result in computationally intensive issue [43,17]; it is difficult to obtain precise probability distribution function (PDF) of the uncertainties in practice [18].…”
mentioning
confidence: 99%
“…And then, to facilitate the solution, the model is decomposed into a mixed integer linear programming (MILP) master problem (MP) and sub problem (SP) using column-and-constraint generation (C&CG) method [45]. Following, SP is derived into MILP using Big-M method [35] and duality theory [17,19]. At last, C&CG iteration algorithm is adopted to solve MP and SP, which finally provides the optimal DED strategy.…”
mentioning
confidence: 99%