Optimal Fortification Strategies For Microgird Based On Robust Optimization

Under the conditions of modern high-tech warfare,all kinds of electronic equipment and information technology are widely integrated into individual equipment,weapon platforms,field positions and command centers.Therefore,stable and reliable power supply guarantee has become one of the key factors determining the outcome of war.The major military powers in the world have all attached great importance to the rise of military energy security to the national security strategy.Following the development of the world trend,our army has implemented many reform measures in the field of power supply security,and is vigorously promoting the construction and deployment of military micro-grid.The military microgrid is a small-scale power distribution system based on distributed power supply,energy storage device,energy conversion device,monitoring and protection device,etc.,which has the functions of island operation,flexible maneuvering and rapid reconstruction.Its typical characteristic is strong.Great and high reliability.As an important military infrastructure,according to the "five rings" goal theory,the military microgrid will be the enemy's key target.Therefore,the optimal defense technology for military microgrid for deliberate attacks is a hot issue to be studied.This paper has carried out the following research work:(1)Research on single-cycle microgrid defense problem considering information asymmetry.Under the conditions of the battlefield,deception will permeate every link,leading to an information asymmetry between the enemy and the enemy in the process of attack and defense.How to create and utilize information asymmetry to compile an optimal defense strategy is an important work and innovation point of this paper,which makes up for a gap in the research field of microgrid defense technology.In this paper,a single-cycle micro-grid defense model considering information asymmetry is constructed,and the algorithm is given.The detailed analysis and analysis of traditional defense-based defense methods are carried out to verify the influence of information asymmetry on micro-grid defense.(2)Research on multi-cycle microgrid defense problem considering resource optimization configuration.War is an ongoing process in which multiple rounds of offensive and defensive confrontation can occur.How to fully consider the state change and game process in the subsequent stage in decision-making is a key issue worthy of attention in micro-grid defense.It is another work and innovation of this paper.This paper fully exploits the characteristics of the stage and constructs the defense model under multi-cycle attack,which lays a solid foundation for the dynamic game of micro-grid defense in the future.(3)Research on microgrid defense issues considering integer compensation variables.In the microgrid defense process,each stage of the decision may involve continuous or integer variables.Among them,the integer variable will lead to the failure of the strong dual theory,and the development of new algorithms and frameworks to adapt to the more scientific and flexible micro-grid defense model constitutes a work and innovation point of this paper.Based on the multi-cycle microgrid defense model,this paper introduces the integer compensation variable,and uses the nested CCG algorithm and approximation algorithm to give the solution framework and flow from the perspective of optimality and rapidity.(4)Design and improvement of adaptive robust optimization algorithm.After years of development,the robust optimization algorithm has achieved many breakthroughs,but there are still some limitations.Aiming at the uncertainties,information asymmetry and multi-stage characteristics of micro-grid defense problems,an adaptive robust optimization algorithm with global convergence characteristics is designed,and targeted improvement is made to improve convergence efficiency and application range.A work and innovation point of this article.Among them,it includes both the traditional robust optimization framework and the classical CCG algorithm,as well as the nested CCG algorithm for integer compensation variables.