| With the problems of environmental pollution and energy security becoming more and more prominent,the development of renewable energy is an important demand for the sustainable development of energy and economy in China.Wind power as a kind of low technology cost,clean and environmentally renewable energy has been rapidly developed.At the current grid price level,the total amount of wind power connected to the grid in China will reach 26% of the total power supply by2030.However,when large-scale wind power is connected to the power grid,its randomness and volatility will affect the safe and stable operation of the grid,and a large number of abandoned wind will cause great waste.In 2009,the State Economic and Trade Commission(SETC)issued a policy of "shutting down small thermal power plants",whereby self-owned power plants transfer power rights to wind power enterprises,which can reduce pollution emission rates and provide a way for wind power curtailment.At the same time,with the development of electric vehicles and ice storage units,load becomes an interactive resource to participate in power grid dispatching,and realizes the interactive operation with the power grid.Therefore,the traditional power grid dispatching mode will undergo profound changes,and the research of interactive dispatching mode to participate in wind power consumption has become a hot issue.In this thesis,an interactive dispatching model based on high permeability wind power curtailment is put forward,which realizes intelligent dispatching through two-way interaction between power supply side and demand side,improves wind power curtailment capacity and increases wind power utilization ratio.The main research work is as follows:Firstly,the relationship between the wind power output and the increase of the climbing rate of wind power and the demand of the system reserve capacity are analyzed.And the transfer model of power generation right of self-owned power plant in the framework of transaction policy is put forward,and the active role of demand side in the form of electricity price and incentive type power transaction on wind power curtailment is revealed under the rules of interactive dispatching operation.Secondly,according to the rule of matchmaking trading,through the analysis of the IEEE14 node system,it is concluded that the model not only improves the wind power curtailment capacity,but also reduces the environmental pollution emissions ofthe self-owned power plant.Because the prediction accuracy of wind power output is not high,it is difficult to match the new generation power of wind power with that of self-owned power plant in time,and the utilization ratio of wind power is not ideal.Thirdly,the dispatching model of interactive load participating in wind power consumption is established.As a part of the spare capacity of power system,interactive load can reduce the power of thermal power unit,realize energy saving and emission reduction of the system,and reduce the operating cost of the system at the same time.Quantum Particle Swarm Optimization(QPSO)algorithm is used to solve the optimization target of the model,so that the system network loss and operation cost are minimized.Taking IEEE30 node as an example,the simulation of the system is carried out.The results show that the optimal scheduling of generation capacity is realized.The utilization rate of wind power has been improved by a step forward.Finally,in this thesis,considering the time-of-use pricing(TOU)and interruptible load in the interactive load of the power side,the interactive operation mode between the power grid side and the load side is established.In the model,the time-of-use price reduces the load level of peak period and interruptible load reduces the backup requirement of the system,which is beneficial to the safe and economical operation of the system.The example shows that the model reduces the operating cost of the system and effectively improves the curtailment capacity of high permeability wind power. |
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