Research On Scheduling Strategy For Hybrid Renewable Energy Power System Considering Demand Side Response

Today,the demand for power systems is increasing rapidly,and traditional power systems are no longer able to meet the modern society’s requirements for efficient,reliable,and green energy supply.Therefore,the construction of a new type of power system that adapts to the gradually increasing proportion of renewable energy(new energy)has become a key focus.The increase in the proportion of renewable energy(new energy)installation and the introduction of many new types of loads on the demand side have led to profound changes in the system operating mode and balance mechanism.This has led to the widespread attention of the hybrid energy complementary and demand-side flexible resources participating in the system operation mode.Against this background,research on the scheduling strategy of power systems has become one of the key issues to achieve stable,economical,and green operation of the new power system.Therefore,based on the abovementioned demand points,this article conducts research on the dual-directional scheduling strategy of electric-hydrogen hybrid energy storage,demand-side response,and uncertainty of source-load consideration.This research mainly includes:(1)Developing an optimized model for the power source side of electric-hydrogen hybrid energy storage system.By analyzing the operational fundamentals of the hybrid energy storage system,a model is established that includes energy conversion,energy management,energy monitoring,conventional power sources,and power exchange.This model is constructed as a mixed integer programming problem with the objective of minimizing operating costs while satisfying constraints such as safe and stable operation.(2)Designing and constructing a personalized demand response mechanism for electricity consumers on the demand side.Based on the electricity usage habits and patterns of four types of loads-residential,commercial,industrial,and electric vehicles,they are categorized as fixed loads,adjustable loads,interruptible loads,and transferable loads,respectively.Then,demand response mechanisms are designed,including pricing-based and incentive-based mechanisms,according to the comfort level of electricity usage.A load-side electricity usage model is established accordingly.(3)Developing a dual-layer model for bidirectional scheduling based on the interactive demand between the power source and load.Based on the models for the power generation side and the load side,a new type of power system is constructed in the upper layer,which includes electric-hydrogen hybrid energy.In the lower layer,a dual-layer model is established to accommodate diverse power demands.The interaction between the two layers is achieved through an intermediary power operator,which connects demand response and capacity planning as the link,enabling bidirectional interaction.(4)Using the fuzzy chance constraint method to address uncertainty in scheduling and its integration with simulation.The bi-level scheduling model is proposed while considering the uncertainties in the generation and load factors.By rewriting the constraint conditions that involve uncertain variables,a fuzzy scheduling model is established.The triangular membership functions are used for crisp equivalence transformation,converting the uncertainty problem into an optimization scheduling problem within a certain confidence interval.This approach enables the integration of uncertain factors in the optimization process through simulation,thereby validating the advantages of the proposed scheduling model as stated in this paper.