Research On Optimization Of Location And Capacity For Energy Storage Based On Chance Constraints And N-1 Security Constraints

Due to the intermittency,randomness and fluctuation of the renewable energy output in the future,it will inevitably bring a lot of adverse effects to the reliable economic operation of the power system.At the same time,the impact of grid-connected wind farms and photovoltaic power stations on the power system has not been studied.With the continuous development of energy storage technology,the operation decision of power system puts forward new requirements for the optimal allocation of energy storage resources in wind farm and photovoltaic power station.In order to meet the requirements of power system operation,solve the problem of energy storage system constant volume planning site,this paper proposes a security constraints consider chance constrained and N-1 the storage location of the constant volume optimization method,this method can solve the energy storage system of the installation position,rated power and capacity,under the condition of ensuring reliable operation of the power system.It can effectively improve the proportion of renewable energy consumption and the economy of power system.This method takes into account the interests of the power plant,the energy storage system and the investor as a whole,and takes the power generation cost of the power system,the penalty factor of abandoning the wind and the maximum profit of the energy storage system as the objective function.It also takes into account the charging and discharging state and output constraints of the thermal power unit while considering the starting and stopping state and power constraints.Consider security constraints for network N-1operation at the same time as allow for grid uptime security constraints.An IEEE RTS-96 detection system was used to construct a simulation example.The daily load and wind-solar estimated power were taken as reference data,and the improved generalized Benders decomposition algorithm was used to calculate.Meanwhile,the sensitivity method was used to compare the solution results.The calculation results show that the proposed energy storage planning method can eliminate the power flow overrun problem of each branch when the N-1 fault occurs,and can ensure the reliability of the power grid under the N-1 operation state.By contrast,it does not allow for the safety constraints of the N-1 power grid.Although the economic benefit of this result is slightly decreased,the safety performance of conventional units is significantly improved.It ensures the reliable operation of the power system after the energy storage system is integrated.This energy storage method ensures the maximum economic benefit of the power system in the state of N-1,in order to provide a reference for the energy storage optimization with high reliability,and has great application value.The key research contents of this paper are described as follows:In order to solve the problem of location and capacity of large-scale wind power storage,an optimal allocation model and method for wind power storage considering opportunity constraints and N-1 security constraints was proposed by studying the influence of wind power output volatility and randomness on the power system.An IEEE RTS-96 detection system was used to construct a simulation example,and the improved generalized Benders decomposition algorithm was used to calculate the results.Meanwhile,the sensitivity method was used to compare the results.This method can solve the installation location,rated power and capacity of wind power storage,and effectively increase the proportion of renewable energy consumption and the economy of the power system under the condition of ensuring the reliable operation of the power system.Aiming at the problem of location and capacity of large-scale photovoltaic access energy storage system,a joint planning method for location and capacity of energy storage system considering the characteristics of power grid structure and N-1 security constraints was proposed from the perspective of planning,and some considerations were also establishedChance constrained optimal allocation model for photovoltaic energy storage.The analysis of calculation examples shows that the proposed method can effectively improve the consumption ratio of renewable energy and the economy of the power system under the condition of ensuring the reliable operation of the power system,and can eliminate the problem of the power flow exceeding the limit of each branch when the N-1 fault occurs,and ensure the reliability of the power system under the N-1operation state.For containing high proportion of renewable energy storage analysis and abstraction of common scenery union energy storage system as object,through further study of wind power and solar energy storage location constant volume optimization problem,a whole allow for power plants,landscape joint energy storage system and investors three party interests,for power system power cost,abandon scenery punishment factor profit maximum and minimum energy storage system as a standard,An optimal location and volume allocation model for wind-landscape combined energy storage considering opportunity constraints was established.The analysis of the calculation example shows that although the economic benefit is slightly decreased,the safety performance of the conventional unit is significantly improved,which ensures the reliable operation of the power system after the integration of the energy storage system.Based on the above three aspects,a planning method of energy storage site selection and volume planning considering opportunity constraints and N-1 security constraints was proposed,and an optimal allocation model of energy storage site selection and volume planning was constructed.At the beginning of energy storage planning,this method takes account of the effect of N-1 security constraints on energy storage optimization,and can eliminate the adverse effects of power flow over the limit of each branch when N-1 faults occur,so as to ensure the reliability of power system under N-1 operating state.In the application process,the proposed energy storage location and volume planning method must carry out the N-1 safety test for all generators and lines in the power system one by one,which requires a huge amount of solution.In the follow-up research,the parallel solution technology will be used to conduct in-depth study on this problem to improve the computational efficiency.