A Hierarchical Optimization Method to Solve Environmental-Economic Power Generation and Dispatch Problem with Fuzzy Data Uncertainty

This paper presents how the hierarchical decision structure can be effectively used for modeling and solving an environmental-economic thermal power generation and dispatch problems in a fuzzy decision environment. In the proposed approach, minimization of the functions of fuel-cost, environmental-emission and transmission-loss are considered at the three hierarchical levels to solve the problem within a power plant operational system. In the model formulation, a priority based linear fuzzy goal programming (LFGP) method is employed to achieve the highest membership value (unity) of the defined fuzzy goals to the extent possible on the basis of priorities in the decision making horizon. To illustrate the effective use of the approach, the problem of standard IEEE 6-Generator 30-Bus System is considered.