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

Abstract

<p class="MsoNormal"> <span lang="EN-US">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</span><span lang="EN-US">- </span><span lang="EN-US">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 for</span><span lang="EN-US">mulated 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</span><span lang="EN-US">- </span><span lang="EN-US">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.</span><span lang="EN-US"><o:p></o:p></span> </p

New binary bat algorithm for solving 0–1 knapsack problem

“…Furthermore, the survival process of bats is achieved based on the injective (one-to-one) strategy, where the fit one replaces the worst one based on feasibility rule. The performance of Convergence behavior for LKP 21 Convergence behavior for LKP 22 Convergence behavior for LKP 23 Convergence behavior for LKP 24 Convergence behavior for LKP 25 Convergence behavior for LKP 26 Convergence behavior for LKP 26 Convergence behavior for LKP 27 Convergence behavior for LKP 28 Convergence behavior for LKP 29 Convergence behavior for LKP 30 Convergence behavior for LKP 31 Table 9 Wilcoxon test for comparison results in Tables 5 and 6 Compared methods Solution evaluations…”

“…The earlier applications showed that BA could solve different optimization problems and proved that its efficiency and robustness compared to different algorithms such as GA and PSO [20][21][22]. A new trend in bat algorithms is focusing on hybridizing BA with different strategies [23][24][25][26][27][28][29][30][31]. Fister et al [23] developed a hybrid BA based on various evolution strategies for solving optimization tasks, while Baziar et al [24] proposed a modified BA based on adaptive self-strategy.…”

“…A new trend in bat algorithms is focusing on hybridizing BA with different strategies [23][24][25][26][27][28][29][30][31]. Fister et al [23] developed a hybrid BA based on various evolution strategies for solving optimization tasks, while Baziar et al [24] proposed a modified BA based on adaptive self-strategy. A hybrid BA based on harmony search for solving optimization problems was proposed by Wang and Guo [25].…”

Location and size of renewable energy sources and capacitors in radial distribution systems with commercial losses

“…This metaheuristic has been used for important applications in DG planning [43][44][45]. Like the procedure applied to other algorithms, we used this last algorithm to find location and size of photovoltaic panels, wind turbines, and capacitors.…”

Feature Extraction of the Alzheimer’s Disease Images Using Different Optimization Algorithms

“…BA simulates the behavior of the bats which have advanced capability of echolocation. Different applications used BA optimization technique [20,21].…”