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Composite generation and transmission planning in a competitive environment

机译:竞争环境中的综合发电和输电规划

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In a deregulated power system, generation companies would like to maximize their profits and share of the electricity market. This can only be achieved if transmission access and network availability is satisfactory. New mathematical models for generation and transmission planning are thus needed. The problem is divided into two sub-problems of generation and transmission. The two sub-problems will then be combined to provide a composite solution. The generation sub-problem considers investment costs, fuel cost, operation and maintenance costs, generation limits, and limits on unserved energy. The transmission sub-problem takes into consideration power flow, cost of adding lines, number of circuits in a route. The transmission sub-problem is formulated as a mixed integer optimization problem. The developed algorithms were solved using Branch and Bound method. The transmission sub-problem was solved through DC power flow based on a successive backward method. This was tested on two systems including an artificial an IPP seeking an appropriate location. The results provide a location for the IPP with sufficient transmission access and at the same time minimized the overall costs.
机译:在放松管制的电力系统中,发电公司希望最大化其利润和在电力市场中的份额。仅当传输访问和网络可用性令人满意时才能实现。因此需要用于发电和输电计划的新数学模型。该问题分为生成和传输两个子问题。然后将这两个子问题合并以提供一个综合解决方案。发电子问题考虑了投资成本,燃料成本,运行和维护成本,发电限制以及对无用能量的限制。传输子问题考虑了功率流,增加线路的成本,路径中的电路数量。传输子问题被表述为混合整数优化问题。使用Branch and Bound方法解决了开发的算法。传输子问题通过基于连续后向方法的直流潮流解决。在两个系统上进行了测试,包括人工IPP寻找合适的位置。结果为IPP提供了一个具有足够传输访问权限的位置,同时使总成本最小化。

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