Generation planning in Iranian power plants with fuzzy hierarchical production planning

The Power Plants Generation Planning (PPGP) usually encountered complicated problems. In this paper, a new hierarchical approach is applied for generation planning in power plants. In hierarchical approach, the main integrated problem is separated into some sub problems which could be easily solved by multi level models. Higher level models include organization total strategy and lower level models is concerned with detailed accurate planning. When models are broken down into several levels, the solutions of higher level could be considered as inputs for the lower levels. In the proposed structure, amount of future demand is predicted to specify time periods in first level. In the second level, amount of demand for each aggregate period is allocated to different aggregate methods of electricity generation like; steam, gas, combined cycle and hydro power plants in Iran by using Analytical Hierarchy Process (AHP) and Fuzzy Aggregate Production Planning (FAPP). This allocation is carried out according to two criteria of “share of total electricity generated by each type of generation” and “amount of environmental pollution”. AHP and Fuzzy Disaggregate Production Planning (FDAPP) are applied to determine best utilizing power plants for generation in the final level. The proposed Fuzzy Hierarchical Production Planning (FHPP) outputs express optimal combination of power plants which contribute for demand satisfaction.