2020
DOI: 10.1016/j.epsr.2020.106507
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Efficient multi-year security constrained AC transmission network expansion planning

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Cited by 13 publications
(7 citation statements)
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“…From the results in Figure 10b, a large share of the heating demand and heating power consumption of absorption chillers is supplied with the boilers since they have lower investment costs and higher efficiency than the CHPs. However, the share (8)(9), (13)(14)(15)(16)(17)(18)(19)(20) of the CHPs is higher than the heating market in providing the heating demand. The power procurement from the heating market increases in some scenarios, especially in the scenarios with higher heating load demand.…”
Section: Numerical Studymentioning
confidence: 96%
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“…From the results in Figure 10b, a large share of the heating demand and heating power consumption of absorption chillers is supplied with the boilers since they have lower investment costs and higher efficiency than the CHPs. However, the share (8)(9), (13)(14)(15)(16)(17)(18)(19)(20) of the CHPs is higher than the heating market in providing the heating demand. The power procurement from the heating market increases in some scenarios, especially in the scenarios with higher heating load demand.…”
Section: Numerical Studymentioning
confidence: 96%
“…Then it is reduced by 15.56%. The total cost of the whole system is reduced from FIGURE 20 Investment costs concerning different cost rates for the market prices 6322.04 to 5872.16 M$ in the second case with the deployment of the EHs. In the following, it is reduced from 5872.16 M$ in the second case to 4811.36 M$ in the third case with deployment of the EHs and execution of the proposed CTDS planning.…”
Section: Increasing the Number Of Active Dsos Participating In The Ct...mentioning
confidence: 99%
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“…A Direct Current (DC) power flow model taking into account the correlation between wind power and load demand has been used in [28]. A security‐constrained multi‐stage TEP model has been studied in [29] to reduce the search space for optimal results. A Particle Swarm Optimization (PSO)‐based multi‐stage approach has been proposed in [30] for solving a large‐scale non‐linear TEP in an uncertain environment.…”
Section: Introductionmentioning
confidence: 99%