Optimal Operation of Coastal Source-Load-Storage System with Seawater Desalination based on NSGA-III

To relief the stress of global water shortage, a method to optimize the joint operation the coastal source-load-storage systems and the desalination plants is proposed. The objective function is established based on the minimization of the system total cost and the tie-line power fluctuation. Non-dominated Sorting Genetic Algorithm-III (NSGA-III) is selected as the optimization algorithm. A case study is conducted to verify the methodology. The optimization results can determine the optimal operation plan of the components in the system, and the Pareto-optimal fronts can be obtained for trading-off between different operation plans. Multi-objective Particle Swarm Optimization (MOPSO) and Multi-objective Artificial Bee Colony (MOABC) are selected as the comparing algorithms to solve the optimization. Results shows that the proposed methodology is able to achieve the optimal operation strategy of the coastal system, and NSGA-III has better performance on the operation optimization of the system.