An Intelligence-Based Approach to Optimal Power Flow Control Considering Flexible AC Transmission Systems
This chapter proposes an intelligence-based approach to solve the optimal power flow (OPF) problem considering flexible AC transmission system (FACTS). FACTS plays an important role in dynamic stability and steady-state control of power systems. This chap
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Abstract This chapter proposes an intelligence-based approach to solve the optimal power flow (OPF) problem considering flexible AC transmission system (FACTS). FACTS plays an important role in dynamic stability and steady-state control of power systems. This chapter aims at the study of steady-state control which determines the optimal location of FACTS devices and their associated values in the transmission lines. To determine the optimal solution of FACTS, this chapter presents an improved differential evolution (IDE) approach to deal with the OPF problem. The IDE uses a variable scaling mutation operation to enhance the global search capability of basic DE. Therefore, it is very appropriate to solve the OPF problem. The proposed method is verified on an IEEE 30-bus 41-transmission line system. Results show that the proposed approach can save more active power transmission loss and provides better convergence performance than the existing methods. Keywords Optimal power flow control • Flexible AC transmission system • Differential evolution
1 Introduction Based on the developments of both semiconductor technology and electric power devices, FACTS has been widely applied to improve power flow control and increases the loadability of transmission systems. FACTS is an advanced technique that plays an important role in dynamic stability and steady-state control. The control of dynamic stability focuses on the design of FACTS controllers
C.-M. Huang (*) • S.-J. Chen Department of Electrical Engineering, Kun Shan University, Tainan 71003, Taiwan e-mail: [email protected] Y.-C. Huang Department of Electrical Engineering, Cheng Shiu University, Kaohsiung 83347, Taiwan J. Juang and Y.-C. Huang (eds.), Intelligent Technologies and Engineering Systems, Lecture Notes in Electrical Engineering 234, DOI 10.1007/978-1-4614-6747-2_35, # Springer Science+Business Media New York 2013
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which dynamically adjust FACTS devices to change the structure of transmission network and enhance the capability of transient stability. This chapter aims at the study of steady-state control which determines the optimal location of FACTS devices and their associated values. For a meshed transmission network, an optimal location of FACTS devices can control power flow and increases system loadability. However, because the power system is composed of many buses and transmission lines, it is difficult, time consuming, and a work of challenge to search for the optimal location of FACTS devices by system operators. Much research has been proposed to coping with OPF considering FACTS. These methods include Newton method [1], interior method [2], Tabu search method [3], genetic algorithm [4], evolutionary programming method [5], and particle swarm optimization (PSO) method [6]. These techniques have served as effective tools to deal with OPF considering FACTS devices. In this chapter, an intelligence-based approach using IDE is presented to solve the OPF problem. The basic DE [7] has rapid convergence and easy implemen
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