Reliability constrained multi-area adequacy planning using stochastic programming with sample-average approximations

By Panida Jirutitijaroen, Chanan Singh. IEEE Power & Energy Society General Meeting, 2008

87 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/97a82c9b58b208911640d9c74ea912cdcc0fc87e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Ping Wang
2. Junhua Zhao
3. Tito Homem-de-Mello
4. Alireza Zare
5. Zhao Yang Dong
6. Kit Po Wong
7. Chi Yung Chung
8. Xiao Lu

In Safety, Risk, Reliability and Quality

1. Junhua Zhao
2. Alireza Zare
3. Zhao Yang Dong
4. Kit Po Wong
5. Chi Yung Chung
6. Junpeng Zhan

Citations in the corpus

• Optimization of Resource Provisioning Cost in Cloud Computing (2012, background): “Although this problem can be solved by provisioning more resources with on-demand plan to fit the extra demand, the high cost will be incurred due to more expensive price of resource provisioning with on-demand plan.”
• Probabilistic Load Flow Evaluation With Hybrid Latin Hypercube Sampling and Cholesky Decomposition (2009, methodology): “The random permutation adopted in [18] and [19] is the simplest permutation method.”
• Machine-to-machine communications for home energy management system in smart grid (2011, background): “For additional power supply, the power generator charges price higher than the price in a periodic contract due to the instantaneous need which is random and difficult to predict [7].”
• Multi-Stage Flexible Expansion Co-Planning Under Uncertainties in a Combined Electricity and Gas Market (2015, background): “Singh, 2008 [72] Propose a mixed-integer stochastic programming model The optimal solution is achieved by a trade-off between cost and system reliability.”
• A Fast Solution Method for Stochastic Transmission Expansion Planning (2017, background): “, by either adding these criteria as a constraint [30] or as another objective [31], which is an important topic [32] and will be our future work.”
• Monte Carlo sampling-based methods for stochastic optimization (2014, background): “[213]), power generation and transmission (Jirutitijaroen and Singh [122]), and asset liability management (Hilli et al.”