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首页> 外文期刊>European Transactions on Electrical Power >Advanced model for joint generation and transmission expansion planning including reactive power and security constraints of the network integrated with wind turbine
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Advanced model for joint generation and transmission expansion planning including reactive power and security constraints of the network integrated with wind turbine

机译：用于联合发电和输电扩展计划的高级模型，包括与风力涡轮机集成的网络的无功功率和安全约束

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摘要

This paper presents coordinated generation and transmission expansion planning (G&TEP) considering environmental pollutions and reliability in the presence of wind-generating units and Flexible Alternating Current Transmission System (FACTS) devices. The proposed problem is expressed as a constrained optimization programming that aims at maximizing profit of generation and transmission owners as an objective function. The constraints of the problem include security constraints of alternating current (AC) power flow, wind unit operation, FACTS device operation, and reliability equations. Moreover, the produced power by wind turbines is modeled by probability function, and stochastic programming is adopted to cope with such uncertainty. The planning also calculates the expected energy not supplied (EENS) as a part of the objective function (ie, planning cost). The problem is expressed by means of mixed-integer nonlinear programming (MINLP) and then linearized as a mixed-integer linear programming (MILP) to confirm the optimal solution. The linear model is implemented in the Generalized Algebraic Modeling System (GAMS) software. Simulation results are carried out on a large-scale electrical network, emphasizing the capability and efficiency of the introduced planning to expand the network under uncertainty. Also, the impacts of pollution, FACTS devices, and reliability on planning are demonstrated by numerous analyses and discussions, and it is confirmed that considering such items improves planning.
机译：本文介绍了在存在风力发电机组和柔性交流输电系统（FACTS）设备的情况下考虑环境污染和可靠性的协调发电和输电扩展计划（G＆TEP）。提出的问题表示为约束优化程序，该程序旨在使发电和输电拥有者的利润最大化，并将其作为目标函数。问题的约束条件包括交流（AC）功率流的安全约束条件，风力发电机组的运行，FACTS设备的运行以及可靠性方程式。此外，通过概率函数对风力涡轮机产生的功率进行建模，并采用随机规划来应对这种不确定性。规划还计算未提供的预期能源（EENS）作为目标函数的一部分（即规划成本）。通过混合整数非线性规划（MINLP）表示问题，然后线性化为混合整数线性规划（MILP）以确认最佳解决方案。线性模型在通用代数建模系统（GAMS）软件中实现。仿真结果是在大型电网上进行的，强调了引入规划以在不确定情况下扩展网络的能力和效率。另外，通过大量分析和讨论证明了污染，FACTS设备和可靠性对计划的影响，并且可以肯定的是，考虑这些项目可以改善计划。

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