Study On The Acceptance Capacity Of Wind Power Considering The Economical Peak Regulation Constraints

With the development and maturity of wind power technologies, the proportion of nationwide wind power generation increases constantly. However, because of limitations of power supply characteristics and wind power itself, the contradiction between wind power integration into power system in a large scale and wind power integration capacity become progressively evident. There are many factors which influencing integration of wind power, among which peak regulation capability and the ability of power grid transportation are key factors. Therefore, it is significantly important both in theory and practical value to make sure the reasonable ability of admitting wind power for rational planning of wind power, reducing wind curtailment, improving the efficiency of power generation, reducing the influence of wind power on power grid and improving the economic benefit of power grid.The present thesis firstly summarizes the main factors which influence wind power integration capacity, and the index system of wind power acceptance evaluation is established from aspects of power grid and wind power itself. Combined with case studies in Liaoning grid, the evaluation method on capacity of wind power integration into grid based on power balance is analyzed and deficiencies are pointed out.Based on that, the evaluation method of wind power integration capacity considering the economical peak regulation constraints is put forward. By comprehensively considering maintenance cost, the cost of unit start-up and shut-down, the generation cost of fuel, the environmental costs of the generation, the high-dimensional and nonlinear mathematical model which aims to minimize the system production cost constrained by many boundary conditions is established.Specific to the solution of the above model, an improved particle swarm optimization algorithm combined with the simulated annealing algorithm is put forward in this thesis. The capability of local optimum is improved by introducing simulated annealing algorithm based on roulette strategy. An adaptive penalty function method combined with the feasible regulation scheme is employed to satisfy the constraint conditions. The differential mutation and a kind of random mutation based on variance of the population’s fitness are adopted to prevent premature convergence.Lastly, by comparing the simulation research of large scale power system in Liaoning power grid which consists of 44 units, the superiority of algorithm and feasibility of model put forward in this thesis is testified.