Hybrid QP-PSO for solving economic dispatch with valve point effect

Trisna Wati, R. S. Wibowo, O. Penangsang
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Abstract

Economic Dispatch (ED) is an important aspect in any power system. The conventional methods for solving ED include Lambda-Iterative, Newton-Raphson, Quadratic programming (QP), etc. However, conventional method cannot solved non quadratic function. The input-output characteristics of a generator produced highly non-linear leading so its challenging non-convex and non-smooth optimization problem. In this paper, combine QP and Particle Swarm Optimization (PSO) to solve economic dispatch with valve point effect. The initial PSO population is obtained from the QP. The convergence of QP-PSO has a good performance and near global minimum.
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求解具有阀点效应的经济调度的混合QP-PSO
经济调度是任何电力系统的一个重要方面。求解微分方程的传统方法有lambda -迭代法、Newton-Raphson法、二次规划法等。然而,传统的方法无法求解非二次函数。发电机的输入输出特性产生了高度非线性,因此具有挑战性的非凸非光滑优化问题。本文将QP算法与粒子群算法相结合,求解具有阀点效应的经济调度问题。初始PSO种群由QP得到。QP-PSO具有较好的收敛性和接近全局最小值。
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