Research On Wind Power Accommodating Capability Of Interconnected Electric Power Network

Wind energy is considered a kind of clean green energy which can be effectively converted into electric energy. With the increasing seriously environmental problems, people are attention to the development and utilization of renewable energy, wind power has become an important component of electric energy. Wind power accommodating limit capacity has become the key issue of wind power resource application; it has become one of the important issues in modern power system operation and planning.In this paper, with basic theory analysis of wind power accommodating capability for a power system, and according to the analysis of power output characteristics for wind power and key constraints of wind power accommodating capability. The non-linear optimization a model for wind power penetration limit problem was set up.With the analysis of optimization model of wind power accommodating capability, a wind power penetration limit assessment based on nonlinear interior point algorithm was proposed, finding the key constraints of wind power accommodating capability. The further research on restricted constraints of wind power accommodating capability, And Matlab tests are carried out to prove the correctness of the dynamic mathematic model and effectiveness of the proposed algorithm. By synthetically considering system operation and constraints, this method can get more accurate and practical value of wind power integration capability.At last, the optimized configuration of reactive power strategy was proposed to improve wind power integration capability of electric power network for voltage level and voltage stability which seriously affects wind power integration capability. The two-level optimization model was established for this problem. In outer layer reactive power optimization was configured based on Tabu search algorithm while the wind power integration capability was simulated and calculated using non-linear interior point optimal algorithm in inner layer under the reactive power allocation established. Similarly, Mat lab tests are carried out to verify its feasibility and validity. The algorithm has successfully connected Tabu search algorithm with non-linear interior point optimal algorithm which greatly improved wind power integration power limit to determine reactive power optimization allocation under large scale wind power integration condition. It can greatly improve wind power penetration limit.