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Multi-objective transmission network expansion planning in consideration of wind farms

机译:考虑风电场的多目标传输网络扩展规划

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In this paper, a new method for transmission network expansion planning (TNEP) with Multi-objective Memetic Algorithm (MOMA) is proposed. In resent year, the new environment under the power network liberalization and intermittent generation brings about uncertainties in power system operation and planning. It is of main concern to deal with variable output of renewable energy. This paper formulates TNEP with wind farms as a multi-objective optimization problem that optimizes probabilistic reliability index as well as the construction so that a set of the Pareto solutions is obtained through Monte Carlo Simulation (MCS). This paper proposes a new method for TNEP with MOMA that combines Multi-objective meta-heuristics (MOMH) with Tabu Search (TS) to obtain better solution sets. The effectiveness of the proposed method is successfully demonstrated in the IEEE 24-bus system with wind farms.
机译:本文提出了一种具有多目标麦克算法(MOMA)的传输网络扩展规划(TNEP)的新方法。在怨恨的年度中,电力网络自由化和间歇生成下的新环境带来了电力系统运行和规划中的不确定性。它是处理可再生能源的可变产量的主要关注点。本文用风电场提供TNEP,作为多目标优化问题,优化概率可靠性指数以及结构,使得通过蒙特卡罗模拟(MCS)获得一组Pareto解决方案。本文提出了一种用MOMA TNEP的新方法,将多目标元启发式(MOMH)与禁忌搜索(TS)结合起来获取更好的解决方案集。建议方法的有效性在具有风电场的IEEE 24公交系统中成功展示。

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