Optimal Allocation Of DG In Micro-grid Based On The Theory Of Life Cycle Cost

With the disadvantages of power grids such as high cost, difficulty to run becoming increasingly prominent, and the worldwide problems of energy and environment becoming increasingly serious, the distributed generation was put forward because of its advantages such as less investment, environment friendly, flexibility, high energy efficiency. Micro-grid provides an effective mechanism to solve the problems which allow large-scale distributed generation accessing and achieve energy multipurpose utilization. The type, size and location of DGs in micro-grid are very critical and important in investment and construction stage of micro-grid. If configured reasonable, micro-grid will not only be able to make full use of renewable energy, reduce investment costs, but also can improve micro-grid power quality, and reduce power lossesThe power characters and cost of different types of micro-sources are analyzed. From the view of Life Cycle Cost (LCC), the LCC of micro-sources concerning the equipment cost, Finance cost, operation and maintenance cost, fuels cost, environment protection cost and salvage value is analyzed. The multi-objective function which is concerned the LCC of micro-sources and the power loss cost is proposed. To overcome the defect of the genetic algorithm that the algorithm is easy to fall into local optimum and converge prematurely, the immune mechanism is introduced, so that we obtain an improved genetic algorithm based on immune. In the condition that micro-sources’type, allocation and capacity are uncertain, the improved genetic algorithm based on immune is used to find the optimal allocation and capacity of DGs. At last, an example of33-node system is used to test the method proposed. The results verify the feasibility and correctness of the proposed model and algorithm.