A Multi-objective Constraint-handling based Approach for Short-term Hydro-thermal-wind Co-scheduling Problem

In this paper, we attempt to solve the dual-objective short-term hydro-thermal-wind co-scheduling (HTWCS) problem by proposing a novel multi-objective constraint handling (MOCH) based search framework. The two objectives of this problem are minimizing the cost and emissions associated with electric power generation, while satisfying various hydraulic and electric constraints. The violations of constraints of the HTWCS problem is innovatively converted to another objective and forming a triple-objective HTWCS problem, which is further solved by a Borg algorithm, consisting of i) epsilon-dominance based archive updating process, ii) epsilon-progress based restart strategy and iii) auto-adaptive multi-operator recombination mechanism. The sophisticatedly designed MOCH based Borg evolution framework guarantees the convergence capability and diversity and can avoid the blindness in selecting the recombination operator and complex constraint repairing strategies, due to the lack of priori knowledge of the HTWCS problem. Comparison among different approaches demonstrates the approach proposed in this paper outperforms its conventional counterparts and the MOCH technique performs better than the conventional constraint repairing strategies when applied to solve the HTWCS problem.