Annual Energy Production (AEP) optimization for tidal power plants based on Evolutionary Algorithms - Swansea Bay Tidal Power Plant AEP optimization

28th IAHR symposium on Hydraulic Machinery and Systems

Kontoleontos, E.^1 ; Weissenberger, S.^1

ANDRITZ HYDRO GmbH, Lunzerstrasse 78, Linz

4031, Austria^1

关键词: Annual energy productions;    Hydraulic design optimization;    Multi-objective optimization problem;    Optimal operating point;    Optimization problems;    Optimization procedures;    Optimization software;    Power plant projects;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/49/10/102009/pdf
DOI  :  10.1088/1755-1315/49/10/102009

来源: IOP

【 摘 要 】

In order to be able to predict the maximum Annual Energy Production (AEP) for tidal power plants, an advanced AEP optimization procedure is required for solving the optimization problem which consists of a high number of design variables and constraints. This efficient AEP optimization procedure requires an advanced optimization tool (EASY software) and an AEP calculation tool that can simulate all different operating modes of the units (bidirectional turbine, pump and sluicing mode). The EASY optimization software is a metamodel-assisted Evolutionary Algorithm (MAEA) that can be used in both single- and multi-objective optimization problems. The AEP calculation tool, developed by ANDRITZ HYDRO, in combination with EASY is used to maximize the tidal annual energy produced by optimizing the plant operation throughout the year. For the Swansea Bay Tidal Power Plant project, the AEP optimization along with the hydraulic design optimization and the model testing was used to evaluate all different hydraulic and operating concepts and define the optimal concept that led to a significant increase of the AEP value. This new concept of a triple regulated "bi-directional bulb pump turbine" for Swansea Bay Tidal Power Plant (16 units, nominal power above 320 MW) along with its AEP optimization scheme will be presented in detail in the paper. Furthermore, the use of an online AEP optimization during operation of the power plant, that will provide the optimal operating points to the control system, will be also presented.