Reliability centered planning for distributed generation considering wind power volatility
Reliability centered planning for distributed generation considering wind power volatility
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DOI：
10.1016/j.epsr.2011.04.004
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发表时间：
2011-08
期刊：
影响因子：
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通讯作者：
C. Novoa;T. Jin
中科院分区：
文献类型：
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作者：
C. Novoa;T. Jin
研究了在能量可靠性准则（即失电概率）下分布式发电系统全寿命周期费用最小化的随机规划模型。特别是，我们的研究重点是可再生风能技术渗透的DG系统。制定优化，以确定风力涡轮机的容量和他们在DG系统中的位置，以尽量减少资本，运营和环境成本。统计矩包括均值和方差被用来表征风功率波动性和负荷的不确定性。采用遗传算法和启发式搜索相结合的方法来寻找分布式能源的最佳选址和规模。我们的研究是第一次尝试在文献中的连续概率理论的基础上建模和优化DG系统。矩量法被证明是有效的，在表征随机行为的风力发电和负载动态。最后通过案例分析来说明该规划方法的应用和性能。
This paper investigates a stochastic planning model to minimize the lifecycle cost of distributed generation (DG) systems under the energy reliability criterion, namely the loss-of-load probability. In particular, our study focuses on the DG system penetrated by renewable wind technology. The optimization is formulated to determine the wind turbine capacity and their placement in the DG system with the intent to minimize the capital, operational and environmental costs. Statistical moments including mean and variance are utilized to characterize the wind power volatility and the load uncertainty. Genetic algorithm combined with heuristic search is used to find the best sitting and sizing of the distributed energy recourses. Our study is among the first attempts in the literature to model and optimize DG system based on continuous probabilistic theory. The moment methods are shown to be effective in characterizing the stochastic behavior of wind power and load dynamics. Case studies are provided to demonstrate the application and performance of the planning method.