Economic Optimal Dispatch Of Microgrid Based On Seeker Optimization Algorithm

With the development of economy and the shortage of energy, the microgrid has emerged as an effective way to solve the integration of large capacity distributed generation and power grid. Microgrid as a new networked supply and management structure, how to use their own advantages efficiently economicly to meet the load demand is an important part of microgrid's research, so economic optimal dispatch is very important to microgird.Microgird has many kind of distribution generations, each of them has different characteristics, some of them are sensitive to the weather and load demand. Considering of economic operation cost, we can not ignore the effects caused by the environment and the user's electricity feeling, which in a certain extent improves the difficulty of micro grid optimization scheduling.Combined with the characteristics of distributed power supply, time sharing electricity price and demand side response, an economic dispatch optimization model is built, and seeker optimization algorithm is the method to solve the model to get the most economic operation. The specific contents are as follows:Firstly, according to the output characteristics of the distributed power supply and the demand side response, the optimal scheduling model of microgrid with multiple distributed sources is established. The model of the demand side load can be divided into translation load and shifting load, and microgrid within a day of generation cost, environmental cost, load compensation cost integrated scheduling optimization as objective function, under the constraints of power balance, considering shifting load effect on Microgrid integrated cost and micro source output. The seeker optimization algorithm and particle swarm optimization are used to solve the model for comparation. The results show that considering the demand side response can reduce the peak period load and reduce the operation cost of the microgrid, and seeker optimization algorithm is more accord with requirement.Secondly, considering the random, intermittent and fluctuation of the wind power generator and the PV cell output, a distributed power output probability model is established. At the same time, considering the error of load forecasting, the dynamic economic dispatch model of microgrid is established. The dynamic variables are treated by chance constrained programming, and the model is solved by the combination of Monte Carlo simulation and seeker optimization algorithm, at the same time, the island mode of the microgrid is compared. The results show that considering the randomness of wind power generator and the output of PV cells and the error of load forecasting can make the optimal operation of microgrid economy closer to the reality, and the optimization result is better than the static optimal scheduling. And the operating cost of grid-connect microgrid is lower than that of island mode.Lastly, based on the effect of power supply reliability on the optimal scheduling of microgrid, the reliability cost is introduced into the model. Reliability cost is measured by the expected load loss index, and a multi-objective dynamic economic optimal scheduling model is established, which includes the cost of power generation, environment cost and reliability cost. The multi-objective problem is transformed into single objective by using linear weighted method, and the different scheduling strategies are adopted to compare the output of the micro source and the cost.The results are compared with different weight factors, the load transfer, the change of the sub target cost and the change of the micro source output. The difference of different scheduling strategies for microgrid operation scheduling is compared.