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Stochastic multi-objective dynamic dispatch of renewable and CHP-based islanded microgrids

机译:基于可再生能源和热电联产的岛状微电网的随机多目标动态调度

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摘要

Micro-grids (MGs) are practical solutions for integrating distributed energy resources (DERs) in order to supply electrical and heat demands. In this study, a stochastic model for optimal management of combined heat and power (CHP)-based MGs considering economic, environmental and reliability aspects have been proposed. Two sources of uncertainty including forecast errors of electrical load demand and wind power are considered in scenario generation process using roulette wheel mechanism. Availabilities of units are taken into account to model reliability using capacity outage probability table (COPT). For solving such non-linear, non-convex and complicated stochastic problem, exchange market algorithm (EMA) and the weighted sum method are employed for combining three conflicting objectives and solving multi-objective problem as a single objective problem. Fuzzy satisfying method is applied to choose best compromise solution. The main goal of the stochastic dynamic reliable economic emission dispatch (SDREED) problem is to determine output of each generating unit so that fuel cost and amount of emission are minimized while the electrical demand is provided by more reliable units and operational constraints are met. The output of stochastic problem gives better sight for generation scheduling of MGs. The obtained results show the effectiveness and ability of the proposed method in solving SDREED.
机译:微电网(MG)是用于集成分布式能源(DER)的实际解决方案,以便满足电力和热量需求。在这项研究中,考虑到经济,环境和可靠性方面的考虑,提出了一种基于热电联产(MGP)的混合动力汽车最优管理的随机模型。使用轮盘机制在情景生成过程中考虑了两个不确定性源,包括电力负荷需求和风力发电的预测误差。使用容量中断概率表(COPT)将单元的可用性考虑在内以对可靠性进行建模。为了解决这种非线性,非凸和复杂的随机问题,采用了交易所市场算法(EMA)和加权和方法,将三个相互矛盾的目标结合起来,并将多目标问题作为一个单一目标问题加以解决。应用模糊满意法选择最佳折衷方案。随机动态可靠经济排放调度(SDREED)问题的主要目标是确定每个发电机组的输出,以使燃料成本和排放量最小化,同时由更可靠的机组提供电力需求并满足运行约束。随机问题的输出为MG的发电调度提供了更好的视野。所得结果表明了该方法在求解SDREED方面的有效性和能力。

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