Optimization Research Of Electric Load And Heating Load Between Units Power Supply Based On Genetic Algorithm

The power plant to according to the unit and the unit efficiency differences,among the various units of the allocation of power load, the power plant thermal consumption rate is the lowest, so that the economic benefits of the whole power plant best to carry out the corresponding analysis.Based on the theoretical calculation and field experiments, the relationship curve of heat consumption of different main steam flow and different electric load and heat load distribution of each unit is established. Because the electric load will be affected by the change of the back pressure of the condenser, the curve of the relationship needs to consider the influence of the back pressure.According to the established analytical curve, based on genetic algorithm,according to the given power plant power load, thermal load and every unit of the back pressure, and the user is able to input optimization constraints such as specifying a unit of electrical and thermal load of a certain value, the whole power plant heat consumption value minimum, the development of heating extraction steam turbine electrical load and thermal load distribution optimization software to achieve heating pumping steam turbine electrical load and thermal load distribution optimization of output per unit optimal electrical load and thermal load setting value.The experimental results show that the system can realize the real-time of thermoelectric power plant load of optimal allocation, can achieve best heating thermal power unit load allocation, the optimal allocation of power load, can reduce the power consumption, saves the cost of power generation, thereby improving the economic benefit of power enterprise.