Abstract
Dispatch optimization of the integrated energy system with multi-type energy storages, as an essential issue to optimum energy management, is a high-dimensional complex nonlinear problem with time-series constraints. To overcome the problem, a new meta-heuristic method is presented in this paper. The proposed method introduces several heuristic rules, called as maximum storage utilization heuristic rules, and embeds them into an adaptive GA to improve the quality of initial feasible solutions and new solutions in each iteration. In contrast to existing methods, the new method guarantees the convergence to an optimal solution with low computational cost. Simulation results indicate that the proposed method provides excellent performance in solving economic dispatch of integrated energy system with multi-type energy storages.
Highlights
Nowadays, the growing concerns about the energy crisis and environmental problems lead to changes of energy production and consumption patterns
Many studies have been done to solve the optimal dispatch for the integrated energy system, which is one of the most essential and principal issues to guarantee that the system works stably and efficiently
Most of the existing researches only involve a single type of storage device, the dispatch optimization problems related to multiple types of storage are rarely mentioned
Summary
The growing concerns about the energy crisis and environmental problems lead to changes of energy production and consumption patterns. Many studies have been done to solve the optimal dispatch for the integrated energy system, which is one of the most essential and principal issues to guarantee that the system works stably and efficiently Several methods, such as linear programming (LP)[2], mixed-integer programming (MIP)[3], and mixed-integer non-linear programming (MINLP)[4], have been applied to minimize the total cost or emission with operation constraints. A new meta-heuristic method based on heuristic rules and GA is proposed for economic dispatch of integrated energy system with multi-type energy storages Considering it is exceedingly difficult for the random search method to obtain a feasible solution, owing to the increasing complexity and the time-series correlation of variables in dispatch problems with multiple types of storage, several heuristic rules on optimal operation of energy storges are embedded into the GA to improve the quality of initial feasible solutions and new solutions in each iteration, which has better performance in searching for the feasible and optimal solutions. Some numerical simulation results are given to verify its excellent performance in optimal solutions as well as the calculating time
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