원문정보
초록
영어
Optimal allocation of distributed generations (DGs) integrated into micro grids can significantly improve the stability and benefit the economy of micro grid operation. However, optimal micro grid planning is a kind of multi-dimensional and non-linear optimization problem. In this study, a multi-objective model is established by adopting the objective function which minimizes network loss, electricity price and operation cost; an improved particle swarm optimization (IPSO) algorithm with better optimizing performance is proposed by improving the initializing method and parameter control as well as average minimum and mutation factor are introduced. The proposed IPSO algorithm is then applied to a 29-node micro grid network structure. The comparison between different optimization schemes demonstrates the significance of optimal placement of DGs in micro grids. And it is also clear that the IPSO algorithm proposed in this study can effectively solve such problems.
목차
1. Introduction
2. Optimal DG Planning Based on Micro Grid
2.1. Correlation and Location Selection Principles of Connection of Distributed Generation
2.2. Calculation of Micro Grid Load Flow
2.3. Placing Particular Emphasis on Economic Multi-Objective Optimization Model
2.4. Constraint Conditions
3. Particle Swarm Algorithm and its Improvement
3.1. Basic Particle Swarm Algorithm
3.2. Improved Particle Swarm Algorithm
4. DG optimization Solving Process based on IPSO Algorithm
4.1. Improved Particle Swarm Algorithm
4.2. Flow Diagram of Optimal Solution
5. Analysis of Examples
6. Comparison of Optimization Performance between IPSO and PSO
7. Conclusion
References