Capacity Allocation Off Wind-Hybrid Under Multiple Constraints

Our country implemens ta policy of full consumption of new energy to promote the large-scale development of wind power and photovoltaic power across the country.But along with the phenomenon of abandoning wind and light,it has caused huge losses to my country’s economic development.Considering that wind power and photovoltaic power generation are intermittent and fluctuating,and the regularity of the time distribution is obvious,the sunlight radiation capacity is strong during the day and the wind is small,and the sunlight radiation capacity is weak and the wind is strong at night.The distribution of wind and solar resources in time has very good complementarity.Separate wind power or photovoltaic grid connection will have a huge impact on the operation of the regional grid.Therefore,in the capacity allocation process,consider using the complementarity of wind and solar to compensate for the intermittency and volatility of a single new energy output.Because the output of new energy is random and uncontrollable,the planned output considered during configuration is inconsistent with the actual operation,and cannot change with the changing trend of the load,so it is necessary to consider the mismatch between the power supply and the load that may occur during the configuration the result situation of "abandonment of wind" and"abandonment of light".Based on the analysis of the uncertainty,randomness,and complementarity of wind speed,light intensity,and load,this paper proposes a modeling method based on uncertainty factors,a scene generation method based on Gaussian distributed white noise and a fast forward selection method.The scenario reduction method is to complete the wind and solar capacity allocation of the new energy plant in two stages.The first phase is based on the planned output of the wind and solar power,and the initial allocation of the wind and solar capacity is carried out.The second phase is based on the configuration results to establish a random optimization based on the scenario.Constraints:During the operation of the system,consider regional grid operation constraints,new energy penetration rate constraints,and "abandon wind and abandon light" range constraints,and correct the configuration results.And based on the solution idea of the mixed integer optimization model,under the actual test system,the influence of the number of scenarios,the penetration rate of new energy,and the rate of abandoning new energy on the planning results are studied.With the change of the number of scenarios,the planning results are not affected.,The new energy penetration rate of the wind and solar joint planning is significantly higher than that of wind power or photovoltaic alone planning,and the rate of new energy abandonment limits the planned new energy capacity.The more new energy planned,the higher the rate of new energy abandonment.