Source-storage-load Operation Control Strategy And Multi-objective Optimal Allocation

Traditional energy sources such as fossil and coal will produce harmful gases that can pollute the environment.And with the increasing use of energy,non-renewable energy will be increasingly reduced.Distributed generation(DG)such as wind turbine and photovoltaic which are renewable energy sources have the characteristics of environmental protection and high efficiency,which can effectively solve the above problemsWith the increase of DG permeability,fluctuations and uncertainties caused by the imbalance between supply and demand on the source-load side will lead to the deterioration of wind and light abandonment conditions,even caused the system instability.Energy storage battery(ESB)has the advantages of peak shaving,valley filling and power quality improvement after it is connected to intelligent distribution network.Rational regulation of ESB capacity can effectively improve the above phenomena.Therefore,in view of the source-storage-load operation control strategy and multi-objective planning,this thesis carries out the following work:Firstly,Established probability output model of wind and light.Established ESB supply-demand difference model and charge-discharge model combined with typical daily load DG and ESB curves.Established ESB state of charge model for making operation strategy.Secondly,the control strategy of ESB operation is formulated according to the factors not taken into account in the existing strategy.The upper and lower limits of charge state and discharge power of ESB are set.In order to maximize the economic efficiency of distribution network.An optimization model of ESB low-buy,high-sell arbitrage and loss-reduction profit is established.Using improved FPA to optimize.Aiming at the shortcomings of the original FPA.Improvement of search efficiency and optimization ability by introducing pollination acceleration factor and genetic adaptive factor.Thirdly,The multi-objective optimal allocation of source-storage-load is studied.Considering the stability,economy and environmental protection of distribution network.Considering three factors: system stability,DG revenue from electricity sales,energy storage battery upgrade and renovation benefits,and pollution gas emissions from non-renewable energy sources.Established the mathematical model for multi-objective optimization.Finally,Using probabilistic power flow to simulate uncertainty of wind and light.Monte Carlo method based on Latin hypercube sampling is used for calculation.An improved FPA algorithm is used to solve the multi-objective and multi-constraint problem of the model.The multi-objective optimal allocation of source-storage-load is obtained by simulation.This thesis studies the temporal correlation of renewable energy such as wind and light.Listed the influencing factors of DG and ESB interconnection on distribution network.It provides important guidance for the control strategy and optimal allocation of source-storage operation.Compared with the original operation strategy,the energy storage operation strategy proposed in this thesis has higher economic benefits.The study of source-storage-load multi-objective optimal allocation is of great significance to practical engineering.