Research On Stochastic Optimal Tidal Current Solution Based On Particle Swarm Optimization Strategy

Power system optimal power flow is an effective approach to solving power system operation, its application in active power system optimization, reactive power optimization, optimization scheduling and reliability analysis. Under the electricity market environment factors, optimal power flow not only to the power market of operating units to provide the best scheduling policy, but also can make the scheduling strategy more equal and economic, so the application of load management, congestion management under the electricity market, reactive power pricing transmission pricing and available transfer capability. However, the traditional optimal power flow calculation method of constraint condition, the equation various parameters are based on the known. Strictly speaking, most of the parameters are uncertain or random changes, the traditional optimal power flow calculation process because of these random variation factors can solve out the correct optimal solution; In addition, the reform of power industry to make power system uncertainty, these uncertainties are about power system optimal power flow analysis is put forward a new challenge. Therefore, the stochastic optimal power flow problem is concerned.Since put forward the stochastic optimal power flow,it uses every aspects of power system. In general, including the following several aspects:active and reactive power optimization,system reserve optimization and management of electricity market, load management, available transfer capability, bidding strategy and so on. Based on this, this paper introduces several stochastic optimal power flow is linearized model and based on the analysis of several kinds of effective calculation method on the basis of this paper proposes a new solution method, and the direction of the stochastic optimal power flow model Stochastic optimal flow since put forward, there is a strong applicability. In general, including the following several aspects: active, reactive power optimization, system backup optimization, management of electricity market, load management, available transfer capability, bidding strategy and so on. Based on this, this article analyzes several kinds of stochastic optimal power flow model, and proposed can effectively calculate the stochastic optimal power flow algorithm, stochastic optimal trend for the future development direction is prospected.Stochastic simulation technology provides a effective way to solve the probability forms of constraint condition,so in the chance constrained programming model, it using stochastic simulation technology can obtain good effect. Due to particle swarm optimization (PSO) algorithm in the optimization process of the search path and optimization mechanism have more advantages than other traditional algorithms and intelligent algorithm, its in computer programming,it is easier to implement than other intelligent algorithms. Therefore, this article uses the particle swarm algorithm based on stochastic simulation in chance constrained optimization.This article introduces the stochastic optimal power flow at home and abroad research status and found that the current method of stochastic optimal power flow problem is still in the exploratory stage,therefore, in this paper study to the stochastic optimal power flow method and try to solve considering load uncertainty stochastic optimal power flow, considering the load and power supply end of uncertain stochastic optimal power flow, considering load correlation stochastic optimal power flow, establish the random chance constrained programming model of optimal power flow; Based on stochastic simulation of particle swarm optimization (PSO) algorithm and a deterministic algorithm solving method, and solve it in the simple 5 node system and IEEE30 node system, the method is obtained when calculating the stochastic optimal power flow is versatile and obtained a better conclusion than the deterministic optimal power flow results.