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首页> 外文期刊>Journal of Energy Storage >Modeling and analysis of a microgrid considering the uncertainty in renewable energy resources, energy storage systems and demand management in electrical retail market
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Modeling and analysis of a microgrid considering the uncertainty in renewable energy resources, energy storage systems and demand management in electrical retail market

机译：考虑到电气零售市场中可再生能源，能源储存系统和需求管理的不确定性的微普林的建模与分析

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The renewable energy resources (RESs) are naturally generated such as wind turbine, photovoltaic cell and etc., which can be used in microgrids. In this paper, a heuristic method has been proposed for load demand management based on the produced power and the forecasted market clearing price in which the uncertain parameters of uncontrolled resources and load demand is taken into consideration. With the intermittent output of RESs due to the uncertainty in solar irradiation and wind speed, the forecasting unit will inform the operator on the power production levels in the upcoming 24 h. The energy storage system (ESS) is added to the network based on the modeling of demand management to induce operation costs of the microgrid (MG). Afterwards, the optimization unit utilizes a new decision-making criterion and the particle swarm optimization (PSO) method to define generation schedule and resources' economic dispatch to reduce consumers' costs. Moreover, the proposed model is used to guarantee voltage stability and basic load support. The simulation results are presented by three scenarios with and without price-based demand response. The comparisons among the results illustrate the effectiveness of demand management on system costs. As shown in simulation results, demand response has highly reduced total cost (20-30% related to the case without that) where voltage dip (maximum 1.4%) and power deviation (maximum 1.25%) are also improved in the microgrid.
机译：可再生能源资源（RESS）自然地产生，例如风力涡轮机，光伏电池等，其可用于微电网。本文提出了一种基于生产力的负荷需求管理的启发式方法，并考虑了不受控制的资源和负载需求的不确定参数。由于太阳照射和风速的不确定性导致RES的间歇输出，预测单元将通知操作员在即将到来的24小时内的电力生产水平。基于需求管理的建模，将能量存储系统（ESS）添加到网络中，以诱导微电网的操作成本（MG）。之后，优化单元利用新的决策标准和粒子群优化（PSO）方法来定义生成计划和资源的经济派遣，以降低消费者的成本。此外，所提出的模型用于保证电压稳定性和基本负载支持。仿真结果由三种情况提出，没有基于价格的需求响应。结果中的比较说明了需求管理对系统成本的有效性。如仿真结果所示，需求响应高度降低了总成本（与该案例相关的20-30％），其中电压浸（最大1.4％）和功率偏差（最大1.25％）也在微电网中得到改善。

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