Research On Multiple Regional Coordination Dispatch Of Wind Power Integrated System Considering Transmission Capacity And Transmission Congestion

With the increasing energy shortage and environmental crisis, all countries in theworld are actively seeking to develop renewable energy, and wind power has beenvigorously developing because of cleanness, economy, security and reproducibility.Large-scale wind farms have brought great challenges to the dispatching operation ofpower system. As a result, much wind power has been abandoned. It’s meaningful toresearch new multiple regional coordination dispatch method, to deal with uncertainty ofwind power effectively, such as variation and volatility, improving the wind powerabsorption ability of power system. Based on tie-line transportation constraints andelectricity trading plan of multiple space scale, this paper mainly made research on multipleregional coordination dispatch of wind power integrated system considering transmissioncapacity and transmission congestion.First the wind farm short-term output Beta distribution model was analyzed, and twomathematical analysis methods of power system including wind power uncertainty wereintroduced: analytic method based on probability theory and Monte Carlo method based onrandom simulation which used Latin hypercube sampling (LHS) to simulate wind powershort-term output. For the chance constrained programming model including the windpower uncertainty, the linear relationship and convolution operation between the windstochastic volatility and line power flow was derived. According to the preset confidencelevel, the chance constraines including random variables were converted to correspondingdeterministic equivalent penalty function introduced to the objective function. Then theParticle swarm optimization (PSO) algorithm was used to solve the chance constrainedprogramming model.Considering the electricity trading plan，This chapter studied the available transfercapability in power system including large-scale wind farms. Based on continuation powerflow, a improved algorithm of the key constraint by linear prediction was proposed so as toobtain deterministic ATC with the expansion power flow equation, and the node injection power fluctuation sensitivity of ATC was derived for fast estimation. Then on the basis ofabove analysis, with the help of the visual power injection space of power system includinglarge-scale wind farms, the paper proposed a probabilistic ATC fast calculation methodusing Monte Carlo simulation and hierarchical clustering algorithm which taken manykinds of uncertain factors into considerations, such as the wind speed of wind farm,generator random failure, transmission line random failure, the fluctuation of generatoroutput power and load. The probabilistic ATC fast calculation calculation can real-timemonitor, update dynamically tie-line compute total transfer capability of the interconnectionregional power network considering the security constraint.For the power system transmission congestion caused by long distance, large scale,and high concentration wind power development mode, a reasonable multiple regionalcoordination dispatch method was set up. Predictive probability distribution for wind poweruncertainty, the accumulation variable method of dispatch optimization was used for thetie-line overload caused by the rapid change of load and wind power.The tie-line powerflow was added to ahead constraints, checking whether power generation plan under theoptimistic scenario can avoid the tie-line overload at h moment. If not, the chanceconstrained programming model was used to adjust power plans at t moment.The rationalregional coordination of the generator output would eliminate the transmission congestionphenomenon of power system timely, and maximize the absorption of wind power.