Abstract
In this paper, a new algorithm is presented for the locations of wind turbine in the distribution systems. Technical constraints such as feeder capacity limits, bus voltage, and load balance are considered. The Particle Swarm Optimization(PSO) is applied to solve this problem. To enhance the performance of the new algorithm, a load flow program with Equivalent Current Injection (ECI) is used to analyze the load flow of distribution systems. Based on ECI load flow model, a constant Jacobian matrix is determined to improve the existing power-based model by using the Norton Equivalent Theorem. Example of IEEE 69-bus system is adopted to illustrate the efficiency and feasible of the proposed algorithm. Test results show that with proper site selections of wind turbines can be used to reduce system losses and maintain the voltage profile.
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Tsai, MT., Wu, SW. (2012). Optimization Locations of Wind Turbines with the Particle Swarm Optimization. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30976-2_16
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DOI: https://doi.org/10.1007/978-3-642-30976-2_16
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