A Novel Self Adaptive Modification Approach Based on Bat Algorithm for Optimal Management of Renewable MG

• 作者: Abdollah Kavoosi-Fard Aliasghar Baziar Jafar Zare
• 来源期刊: 智能学习系统与应用(英文)
• 学科: 医学
• 关键词: RENEWABLE MICRO-GRID (MG) RENEWABLE Power Sources (RESs) Self Adaptive Modified BAT ALGORITHM (SAMBA) Nonlinear Constraint Optimization
• 年，卷（期）: 2013,（1）
• 页码范围: 11-18
• 页数: 8页
• 分类号: R73

摘要

In the new competitive electricity market, the accurate operation management of Micro-Grid (MG) with various types of renewable power sources (RES) can be an effective approach to supply the electrical consumers more reliably and economically. In this regard, this paper proposes a novel solution methodology based on bat algorithm to solve the op- timal energy management of MG including several RESs with the back-up of Fuel Cell (FC), Wind Turbine (WT), Photovoltaics (PV), Micro Turbine (MT) as well as storage devices to meet the energy mismatch. The problem is formulated as a nonlinear constraint optimization problem to minimize the total cost of the grid and RESs, simultaneously. In addition, the problem considers the interactive effects of MG and utility in a 24 hour time interval which would in- crease the complexity of the problem from the optimization point of view more severely. The proposed optimization technique is consisted of a self adaptive modification method compromised of two modification methods based on bat algorithm to explore the total search space globally. The superiority of the proposed method over the other well-known algorithms is demonstrated through a typical renewable MG as the test system.