Abstract
Co-location of wind and tidal current turbines (WTs/TCTs) is a new way to improve the economy and reliability of electricity generation from renewable energy sources. In this paper, an optimization model for determining the configuration of a co-located wind/tidal current farm (WF/TCF) is proposed. The objectives include the minimization of the system levelized cost of energy (LCOE) and the maximization of the system average power supply reliability (APSR). In the planning area, there are certain zones where there are important restrictions which do not allow WTs/TCTs to be installed. These are called forbidden zones. When deciding the feasible area in the optimization, the complement of the forbidden zones in the planning area is used. The optimization problem is formulated as a coordinate model (CM) and a grid model (GM), both solved by the multi-swarm optimization (MSO) algorithm. The proposed approach is tested in an offshore area of Zhejiang province, China. Simulation results indicate that the co-location of a WF/TCF is an economic-technical efficient approach to harvest marine renewable energy. Also, the MSO algorithm outperforms its counterparts, the particle swarm optimization (PSO) and the discrete particle swarm optimization (DPSO) algorithms, in solving the CM and the GM of the WF/TCF layout optimization problem.
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