A genetic algorithm solution for a nuclear power plant risk–cost maintenance model

T Jiejuan, M Dingyuan, X Dazhi - Nuclear engineering and design, 2004 - Elsevier
… Based on the discussion, a maintenance risk–cost model is established for global maintenance
optimization in a nuclear power plant, and a genetic algorithm (GA) is applied to solve …

A CVaR-robust-based multi-objective optimization model and three-stage solution algorithm for a virtual power plant considering uncertainties and carbon emission …

L Ju, Q Tan, Y Lu, Z Tan, Y Zhang, Q Tan - … Journal of Electrical Power & …, 2019 - Elsevier
… virtual power plant (VPP). Firstly, the basic structure and uncertainty factors of VPP operation
are analyzed, and the output model of power … Thirdly, a three-stage solution algorithm is put …

A multi-objective robust scheduling model and solution algorithm for a novel virtual power plant connected with power-to-gas and gas storage tank considering …

L Ju, R Zhao, Q Tan, Y Lu, Q Tan, W Wang - Applied Energy, 2019 - Elsevier
Power-to-gas (P2G) provides a new means for accommodating abandoned new … power
plants (VPPs) in the future. In this study, a novel structure of a P2G-based virtual power plant (…

Dynamic modeling and solution algorithm of the evaporation system for the ultra-supercritical power plant

L Xu, J Yuan, J Wang - International Journal of Heat and Mass Transfer, 2017 - Elsevier
… -supercritical power plantsolution algorithm to deal with working condition switching in an
automatic mode. Pseudo-online simulations are performed to test the model and the algorithm

Identification of nuclear power plant transients using the Particle Swarm Optimization algorithm

JACC Medeiros, R Schirru - Annals of Nuclear Energy, 2008 - Elsevier
… In this work we present an event classification solution, based … plant. In (Alvarenga, 1998)
and (Mol, 2002) we find a list of postulated transients for a four loops PWR nuclear power plant

Short-term scheduling of hydro-based power plants considering application of heuristic algorithms: A comprehensive review

M Nazari-Heris, B Mohammadi-Ivatloo… - … and Sustainable Energy …, 2017 - Elsevier
… and valve-point loading effect of the thermal unit are taken into account for solving STHS …
method for obtaining the optimal solution of power generation scheduling of hydrothermal …

Optimal short-term operation of pumped-storage power plants with differential evolution algorithm

S Özyön - Energy, 2020 - Elsevier
… Nowadays, optimization algorithms are frequently used in solving problems that are difficult
or impossible to solve with complex and numerical methods. The reason for this is that the …

A grid based multi-objective evolutionary algorithm for the optimization of power plants

J Dipama, A Teyssedou, F Aubé… - Applied Thermal …, 2010 - Elsevier
… that permits solutions that simultaneously satisfy … algorithm developed around an innovative
technique that consists of partitioning the solution search space (ie, a population of solutions

Operational planning of combined heat and power plants through genetic algorithms for mixed 0–1 nonlinear programming

H Gopalakrishnan, D Kosanovic - Computers & Operations Research, 2015 - Elsevier
… thermal power plants. … solutions. Based on these mixed 0–1 guidelines, Logendran and
Oudheusden [9] developed a model for a bi-fuel thermal power plant and found optimal solutions

Parametric optimization of steam cycle in PWR nuclear power plant using improved genetic-simplex algorithm

C Wang, C Yan, J Wang, C Tian, S Yu - Applied Thermal Engineering, 2017 - Elsevier
… and integrating genetic algorithm (GA) with simplex algorithm (SA). … algorithm and the
original ones is performed by solving the optimization test problems. The improved algorithm