Application Of Analytic Hierarchy Process In Urban Power System Planning

Urban power system is not only an important part of the whole power system but also the load center of the power system, and it burdens a large number of heavy load and requires high standard of security and quality. With the development of economy, decision-making technique in urban power system has faced the challenge in the new situation. The target of the traditional urban power system planning models is to seek for the lowest operation expenses maintaining all the technical constrains. However the new models seek for a comprehensive concern about the system, including security, income from investment, environmental protection, place occupation and many other factors. It is impossible for the traditional mathematical optimum models to solve such a problem with so many uncertain factors. However specialists often obtain a satisfying plan by judging with experiences. But planning by experiences has no theory background and may be affected by some accidental factors such as the knowledge, the emotion and the experience of different specialists. This thesis applied the AHP to the urban power system planning. With a model concerning both mathematical calculation and human experience, this approach not only maintains both merits of the mathematical optimum model and the specialist planning but also avoids the shortcomings of the two traditional approaches. AHP can systematically solve a planning problem concerning both quantitative and qualitative factors, and it can even deal with the problem with uncertain decision-making factors and indicate the attitudes and biases of multi decision makers. This thesis presents the basic theory and the development of AHP; an example is illustrated in which a branch of AHP, fuzzy AHP is applied to solve an urban power system planning problem; in another example, based on the former economic model the environmental factor is also concerned in the decision-making, site selection of transformer station with multi targets is experienced with this thesis' approach and the result is compared with the traditional methods'. This thesis' approach can fit the new situations of the decision-making technique of urban power system planning problem, with a result better than other traditional approaches.