Study On The Available Transmission Capacity Of Based On Plant Growth Simulation Algorithm

In the an interconnected power system, Available Transfer Capability is not only a technical target to meet safe and reliable operation, but it is also a guide to guide the power market transaction,be full use of existing transmission resources and prevent transmission congestion.With increasing awareness of the protection of natural resources and land availability consideration and the load level of modern power systems has become more and more serious. Therefore, the problem of how to accurately and efficiently calculate the inter-regional Available Transfer Capability and make the system to meet safety and reliability constraints, and to meet the needs of load to the greatest extent, which has caused widespread concern of system researchers.In this paper, the Available Transfer Capability model is built based on Optimal Power Flows, and state safety constraints are considered. Also,a kind of new bionic intelligent optimization algorithm which occurs in nature is trying to solve this model.-Plant Growth Simulation Algorithm. The algorithm regards the plant phototropism mechanism as optimization model,its core idea is that it considers the feasible region of ATC as plant growth environment,and it regards the global optimal solution as the light sourse for photosynthesis of plants.In this way,the principles of true plant phototropism can be vividly imitated,establishing the dynamic mechanism that plant leaves rapidly growth to the light at the different light intensity. Plant Growth Simulation Algorithm with the advantages of parallel search mechanism, easy to deal with constrained optimization problems;and using the objective function and constraints separately, and without the constraints of the form of a penalty function into the objective function. Therefore,it is a simple calculation model and has few demands to the selection of initial points and has strong global optimization capability, good robustness, simple principle and easy implement etc.The introduction of adaptive step size mechanism is made better to improve the accuracy of solutions and global convergence performance of the algorithm.The verification results by IEEE-30 bus system show the algorithm has the stronger global convergence performance and the quicker convergence speed compared with the results gained by benders decomposition and improved particle swarm optimization (IPSO), and it is proved to be rational and available.