Research On The Methods Of Power Plant Load Dispatch

Power Plant Units load dispatch, for improved plant safety, reliability and economy is of great significance. This article analyzes the development of thermal power plant load dispatch firstly, then, Consider the thermal power plant's actual operating characteristics. Found the main factors which impact of thermal power unit load dispatch, realized coal consumption curve fitting and established a variety of mathematical models of load dispatch.In the discussion of the coal is the main objective of the load dispatch, the paper analyzes the advantages and disadvantages of various single-objective allocation method. At the same time, highlighting the equal incremental method and dynamic programming, represented by the traditional single-objective optimization algorithm. Introduced the emergence, development and Applications in load dispatch of the two methods in detail. Designed load dispatch program based on these two methods.At the same time, as the develop of electricity market, Load dispatch of thermal power plant is now not only to meet the economy requirement, but also adjust the time requirements and pollutant emissions requirements in the electricity production. However, the traditional method which only considers the higher cost of power generation can not meet the requirements of the load dispatch. Therefore, using multi-objective approach to study the load dispatch has important significance.Compared with the traditional multi-objective methods, the multi-objective evolutionary strategies based on the concept of Pareto optimal have obvious advantages. In response to this issue, we designed two multi-objective evolutionary algorithms to solve multi-objective load dispatch, NSGA-Ⅱand MOPSO which based on Pareto solution set, respectively. The numerical examples show that the method can solve multi-objective optimization problem very well .Meanwhile, we compared the paper design of the multi-objective evolutionary methods with the weighting, the simulation results show that the NSGA-Ⅱand PAMOPSO are superiority and accuracy, it also indicated that the algorithm has good practical application and significance.