抄録
This paper proposes a new approach to plan cogeneration systems known as one of distributed energy systems. The proposed approach uses structured genetic algorithms. The cogeneration systems planning provides optimal allocation of cogeneration systems, a layout of pipeline network structure for distributing heat energy between cogeneration systems and demand areas, and optimal heat and electric energy supply to meet the energy demands. The planning is formalized as a combinatorial optimization problem with minimizing cost of energy supplying for its objectives. The major method to solve it is based on mathematical programming methods as usual. But it is difficult to get an optimal solution as the number of areas increases because of property of combinatorial explosion and nonlinearity. This paper shows a new method to solve the cogeneration systems planning based on genetic algorithms. A solution of the cogeneration systems planning has a network structure. The proposed method in this paper applies structured genetic algorithms which genotype has a tree structure to represent a network structure. The characteristics of the proposed method are analized by applying the new method to empirical data of the area around K station.
