| Environmental pollution and exhaustion of fossil energy are two serious issues throughout the 21 st century.Renewable energy technology needs to be developed on account of four advantages: no fuel cost,utilized circularly,environmentally friendly and widely distrbuted.Due to the voatility of renewable energy generation,it always causes power fluctuations and reduces the stability of a power system.In order to solve this problem,energy storage system should be allocated in renewable energy generation station according to national regulations.Allocating energy storage systems to guarantee the stability of power system with the least cost and environmental pollution,is significate for developing renewable energy.This work focuses on the optimal allocation of energy storage systems in isolated microgrids with renewable energy.In the isolated microgrid on land,energy storage system is applied to support energy and stabilize power fluctuation of the high penetration of renewable energy.In the mobile isolated microgrid,generation power of renewable energy not only fluctuates with time,but also with geographical location,which is hard to be predicted.The uncertainty of load power is high in the mobile isolated microgrid.Load power varies nonlinearly with the speed.Energy storage system is utilized to supply ample spinning reserve in mobile isolated microgrids.The optimizaiton objectives are economy,carbon emission,the stability and reliability when allocating energy srorage system in different isolated microgrids with renewable energy.The paper includes:1.An optimal allocation scheme of energy storage system based on transient stability analysis is proposed.In order to enhance the transient stability of an isolated micgrid with wind power,analysis the power sensitivity of each node based on the weibull distribution of wind.A new multi-objective particle swarm optimization-nondominated sorting genetic algorithm(MOPSO-NSGA-Ⅲ)based on transient stability analysis is proposed to allocate the type,location,reactive time,rated capacity and rated power of energy storage system and the parameters of droop controllers.The optimum allocation scheme with the least cost and best transient stability of voltage and frequency is determined.2.An optimal allocation scheme of energy storage systems based on day-ahead dispatch is proposed.To solve the problem of power fluctuations in an isolated microgrid with wind power and solar energy,nonlinear autoregressive with external input neural network is used to predict the output power of wind and solar.Then allocate the location,rated capacity and rated power of energy storage systems based on day-ahead dispatch of diesel generators.The optimum allocation scheme of energy storage systems with the least installation cost,carbon emissions and voltage fluctuations is determined.3.A day-ahead spatio-temporal forecasting of solar irradiation along a navigation route is proposed.The proposed prediction method is based on spatio-temporal forecasting technology and forecast the solar irradiation on a solar tanker along the route from Dalian to Shanghai.Ensemble empirical mode decomposition is used to decompose original data.Then self organizing maps neural network reduces the dimension of input space.The final prediciton is obtained by a supervised neural network.Prediciton accuracy is obtained in four seasons.4.An optimal allocation scheme of energy storage system in a all-electric ship with solar energy,based on saptio-temporal forecasting of solar irradiation and day-ahead dispatch of diesel generators with the consideration of spinning reserve,is proposed.The optimum allocation scheme of energy storage systems with the least cost,carbon emissions and highest power supply reliability is determined.The effective of results is verified on a solar tanker along a navigation route.This work focuses on the optimal allocation of energy storage system in isolated microgrids with renewable energy.The scheme is applied to enhance the stability/reliability,economy and environmental benefit of isolated microgrids.Results are significant for improving traditional allocation schemes of isolated microgrids. |
