Transmission Network Expansion Planning Based On Ecology Evolutionary Algorithm Of Food Chain

Transmission Network Expansion Planning (TNEP) is a very important circle to safeguard sustainable development for electric power industry. Scientific and reasonable Transmission Network Expansion Planning can maximum the national infrastructure investment, which also improves the national economic and social benefits.In this paper, Ecology Evolutionary Algorithm of Food Chain (EEAFC) is the first example for Transmission Network Expansion Planning. To give full consideration to the multi-dimensional, multi-constraint, non-convex and nonlinear characters of Transmission Network Expansion Planning, analyze and discuss the EEAFC's advantage and its feasibility in Transmission Network Expansion Planning, combining the advantages of other intelligent algorithms(GA, SA), five improvement ideas were put forward, such asï¼›1) Introducing the genetic strategy for vertical mechanismï¼›2) Memorizing "local optimal population", which represents special information in each generation; 3) Setting up appropriate candidate solutions for Ecology Evolutionary Algorithm of Food Chain; 4) adding "security boundary search strategy"; 5) mixing algorithm.Based on the Improved Ecology Evolutionary Algorithm of Food Chain (IEEAFC), the simulation results of many different size transmission networks indicate the method can be effectively applied to single-stage and multi-stage transmission network expansion planning, which have quick calculation speed and better global convergence performance, further lays ground work for the application of EEAFC in Transmission Network Expansion Planning.