| In order to cope with the crisis of increasingly depleted energy,new energy generation methods have been applied on a large scale.The large number of distributed power sources connected to the microgrid has a great impact on various indicators of the grid,especially the voltage quality.Ensuring that the user’s voltage level is close to the rated threshold is the basic task of power system operation.Its essence is to make the system operate safely,reliably,and economically by optimizing the variables within the constraints.Reasonable active and reactive power distribution not only reduces the network loss of the transmission line,but also guarantees the voltage level of the distribution-microgrid.This paper focuses on Hydro-Wind-Solar microgrid voltage regulation mode and active and reactive collaborative optimization methods.The main work is summarized as follows:(1)Taking into account the randomness of the output of small hydropower units,wind turbines and photovoltaic power generation systems,a fuzzy opportunity constraint programming model for water-wind-optical microgrids is proposed and applied to reactive power optimization scenarios to establish fuzzy opportunity constraints.Reactive power optimization model of planned water-wind-optical microgrid.A Monte Carlo algorithm is used to train a particle swarm optimization neural network and simulate a hydro-wind-optical microgrid reactive power optimization model based on fuzzy chance constrained programming.Through the case analysis of the IEEE-33 node system,the hydro-wind-optical micro-grid reactive power optimization model is feasible.The optimization strategy can reduce the maximum voltage offset of the system by 65% and the network loss by 55%.(2)The microgrid power flow calculation model is a complex and nonlinear model.This paper proposes a water-wind-optical microgrid based on mixed integer second-order cone programming.The second-order cone programming model is used instead of the original power flow model.Instead of a linear formula,the new variable is represented by a special structured cone set.Considering the active power dispatching of distributed energy on the basis of stochastic distributed energy output,a water-wind-optical microgrid active and reactive collaborative optimization model based on mixed integer second-order cone programming is established.An analysis of the 97-node microgrid system is available.The water-wind-optical microgrid active and reactive collaborative optimization strategy is adaptive and effective.It can reduce the voltage offset by 47.95%,reduce the network loss by 38.07%,and optimize the comprehensive index by 44%.(3)Consider the randomness of distributed energy output and load uncertainty,blur the distributed energy output and load situation,propose a fuzzy water-wind-optical microgrid,and apply it to active and reactive collaborative optimization In the model,a micro-grid active and reactive collaborative optimization model based on fuzzy opportunity constraint programming is established.The Monte Carlo algorithm is used to train a deep belief network to simulate the active-reactive collaborative optimization model of a water-wind-optical microgrid.IEEE-33 node system simulation analysis shows that the water-wind-optical microgrid active and reactive collaborative optimization model based on fuzzy opportunity constrained programming has good adaptability.After active and reactive collaborative optimization,the maximum node voltage deviation improvement degree is59%.The improvement of active network loss is 48%. |
