Abstract
Identification of the optimum location and capacity of Static Synchronous Compensator (STATCOM) in power grids has been given much attention to maximize its technical performance while minimizing operational cost. In this regard, a new multi-objective optimization model that minimizes power loss, enhances system stability and reduces operational cost of STATCOMs is presented in this paper. To overcome the issue of the harmony search (HS) optimization algorithm in solving high-dimensional multi-objective optimization problem, an improved differential evolution harmony search (DEHS) algorithm is proposed. In this algorithm, mutation and crossover operations are adopted instead of the original pitch adjustment operation adopted in the HS optimization algorithm, which enhances the algorithm global search ability. Moreover, opposition-based learning technique is incorporated to the process to broaden the diversity of variables and hence improving the search efficiency of the algorithm. The proposed algorithm is employed to identify the optimal allocation and sizing of multiple STATCOMs within the IEEE 30-bus system. Results reveal the superiority of the proposed optimization algorithm over the conventional multi-objectives adaptive harmony search algorithm.
Highlights
Flexible Alternating Current Transmission Systems (FACTS) have been widely adopted in power grids to control power flow, regulate voltage profile, increase lines power transfer capability, reduce active power losses and improve system stability [1]–[3]
This paper is aimed at introducing a new cost-effective optimization technique based on improved differential evolution harmony search algorithm to optimize the capacity and location of the STATCOMs within the IEEE 30-bus system
CASE STUDY AND DISCUSSION In order to verify the effectiveness of the algorithm proposed in this paper, the improved differential evolution harmony search algorithm is applied to optimize the installation of STATCOMs in the IEEE 30-bus system shown in Fig. 3 [41]
Summary
Flexible Alternating Current Transmission Systems (FACTS) have been widely adopted in power grids to control power flow, regulate voltage profile, increase lines power transfer capability, reduce active power losses and improve system stability [1]–[3]. This paper is aimed at introducing a new cost-effective optimization technique based on improved differential evolution harmony search algorithm to optimize the capacity and location of the STATCOMs within the IEEE 30-bus system. State variable include the reactive power of generators QG and the load bus voltage UL [33]–[35] These constraints are formulated as below: UGi min ≤ UGi ≤ UGi max i = 1, 2, · · · , NG. To overcome the issues associated with the conventional HS algorithm that include unstable convergence and easy to run into local optimum solution instead of global solution, adaptive strategy is adopted to adjust the control parameters and improve the performance of the search algorithm.
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