Multi-Objective Power System Optimai Scheduling Based On System Coordination Particle Swarm Optimization

With the twelfth Five-Year Plan implementing comprehensively, China’s economy develops quickly to go into a new era. The developing of All walks of life have a more strict requirement on The power industry. As an industry which hold the Lifeline of The national economy, power industry have a great stress. From the world, we can see the gradual depletion of Non-renewable energy like Oil, gas, coal etc. and environment pollution which is made by Non-renewable energy. All these give the stress for power industry to develop renewable energy vigorously and give a great importance on the using of Clean Energy. Hydroelectric power generation has a feature which is clean and Renewable. Compared to Non-renewable energy, hydroelectric power generation is better than thermal power on the cost of power generation and social benefits. So, it can reduce the pollution in the environment and the adverse effects for the sociality.Our country has very rich hydropower resources which has a shortcoming. Our hydropower resources concentrate in the south and east. So, in the south and east area, we must pay attention to hydroelectric power generation. Using the advantage of hydropower resources, we should let hydroelectric power generation produce firstly, dispatch firstly, produce mostly, we should building large net positively, so as to make full use of hydropower resources in our whole country which containing arid regions.The most effective way to develop hydropower resources is using cascade development mode. The text study cascade hydropower station strong water association and water and electricity conversion characteristics deeply, at the same time,we learn the thermal power system operating characteristics and the characteristics of it’s pollutant emissions, from that,we give a new model of co-generation model of hydrothermal power systems, with the purpose of showing the regional energy advantage to create the biggest economic and social value. Multi-objective optimization includes Cascade Hydropower Station of hydrothermal power systems can make up of hydropower enterprises and thermal power enterprises in their respective economic interests, minimal impact on the environment and creating social value maximizing. But,it is a very complex nonlinear optimization problem, in which it has a lot of variables, and the relationship of variables is very complex. The text makes use of particle swarm optimization as the calculation method of the Joint scheduling model of hydrothermal power systems. Because of particle swarm optimization has a shortcoming about going Into a local optimal solution and being not suitable for solving multi-objective problem, the text give a new algorithm which names systems coordination particle swarm optimization. We improve its Learning factor C1and C2, and Weights w on the base algorithm. The text solves the problem of Contain the cascade hydropower stations of power system multi-objective optimization problem through gray theory and particle swarm algorithm combining. Now, several multi-objective problem like the weighting method, Interactive algorithm have some shortcoming which are showed that man-made weights have lots of subjective factors causing a Distortion result, or have a complex method of calculation causing the practical application of useless. The text makes gray theory into the particle swarm algorithm, so as to solve the objective function containing the lowest cost of power generation, cascade hydropower stations contribute the largest, cascade hydropower generating minimum total water, Grid of power loss to minimize, pollution gas emissions minimum, minimum amount of smoke exhaust, heads of power station water consumption minimum, the method effectively avoid these shortcomings above, The calculation process is simple and fast, and have some practical value.The complex structure large power grids cause that power system optimal scheduling very difficulty. Network outages is very the focus. So, the text study deeply on Multi-voltage level-grid power system reactive power optimization scheduling problem. We optimize the reactive power of transformer branch so as to optimize the large grid of multi-voltage level grid reactive power through adjusting the transformer tap.