Research On Power System Dynamic Economic Dispatch Considering Wind-Solar Complementary

With large-scale wind and solar power connected to the grid, wind and solar complementary to grid scheduling has gradually began to be applied. At the same time, uncertainties and volatilities of wind and solar power output influence the operation of the power system. In this paper, concerning two aspects of uncertainty and volatility of wind and solar power, the economic dispatch of power systems considering wind-solar complementary were discussed, in which new thoughts of modeling and solving methods were put forward. The economic benefits of power system should reach the best under the conditions of ensuring the reliability.To deal with the uncertainties of wind power, solar energy and load, the uncertainties of prediction error is led in, and an optimal model of economic dispatch of power system based on uncertain programming theory is proposed,in which the prediction error of wind power, solar energy and load is considered.Firstly, different probabilistic distribution characteristics of wind power, solar energy and load are analyzed. Because of their different characteristics, fuzzy variable and random variable are employed respectively. On the basis of these,environmental pollutants cost and output cost of wind power, solar energy and load are comprehensively considered, and a multi-objective processing strategy of fuzzy comprehensive evaluation based on AHP is applied. A mixed simulation evolutionary algorithm is applied to solve the model based on the dispatch model.The results show the rationality and effectiveness of the proposed model.To research economic dispatch of power systems including wind power and solar energy, the prediction error of wind power, solar energy and load is considered,and the joint probability model is constructed. Based on the improved? superquantile, the loss of load missing probability constraint of dispatch models is constructed. Thus, a theoretical reference to weigh the economy and reliability is presented for operators. Monte Carlo simulation and analytic method are combined to resolve the model, The simulation results in IEEE 30-bus system wit wind power and solar energy validate the correctness and efficiency of the proposed method.In order for the strong volatility of wind as well as photovoltaic power and grid load, an economical scheduling strategy based on integration of wind, photovoltaic,water and thermal power has been proposed. The generalized load is defined and the flexible scheduling of pumped storage is used to translate the output space of intermittent energy to smooth the generalized load curves and fluctuation in power.The objective functions that the output of the integration made up of wind, PV andwater is maximum and the fluctuation of generalized load is minimum are introduced into the process of modeling, and the cost of the thermal units start-stop is also taken into account. Through comparison and analysis of simulation results,the proposed economical scheduling model based on integration of wind,photovoltaic, water and thermal power can not only increase the efficiency of intermittent energy and realize the function of peak load shifting, but also decrease the startup and shutdown of thermal units to reduce the thermal economical costs.Finally, on the basis of existing achievements, the direction of future research and development trends are pointed out. The further study and the breakthrough of this topic are proposed.