采用自回归滑动平均模型进行风电预测，采用多元线性回归预测算法进行光伏预测，采用分段线性化法处理微型燃气轮机燃料费用与发电功率的关系，建立考虑充放电效率与状态的蓄电池模型。以微电网内燃料费用最低和从外部电网购电费用最低为优化目标，调用蓄电池储放能，优化微电网的运行控制策略。使用CPLEX软件求解优化函数并给出优化运行结果，结果表明所提的运行优化策略发挥了蓄电池逢电价低储能、逢电价高放能的作用，比传统的仅考虑燃料费用的控制策略节省了运行费用。
2021-11-17 11:16:34
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拟定了风电-抽水蓄能联合系统3种可行的运行方案：全部风电供给抽水蓄能电站抽水；根据电网容量和风电场出力情况，部分风电直接输入电网，其余风电供给抽水蓄能电站抽水；风电全部直接输入电网．建立了风电-抽水蓄能联合系统的优化运行模型，计算得出了常规发电厂稳定运行的最小容量以及含一定容量风电的电网所需的抽水蓄能电站装机容量，建立了经济评价模型。根据综合经济评价结果，优选出了风电-抽水蓄能联合系统的最佳运行方案．
2021-10-01 15:56:46
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能量枢纽(EH)可以促进不同形式的能源载体协同运行，是加快泛在电力物联网关键技术研究的重点。提出了一种基于非合作博弈的多EH优化运行方法，将包含多能源系统的单个园区抽象为一个EH，对EH中的能源生产、转换及储能设备进行建模，建立多能协同运行的EH框架；在此基础上，构建基于纳什均衡的多EH非合作博弈模型，各EH以日运行成本最小为目标函数与其他EH参与博弈，分析各EH中设备出力和负荷平衡情况。基于MATLAB进行仿真运行，结果表明多个EH之间能充分利用区域间负荷互补特性，使各EH在优化个体运行成本的同时，提高系统的灵活性。
2021-09-26 10:20:15
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Abstract—This paper proposes an adaptive optimal policy for hourly operation of an energy storage system (ESS) in a gridconnected wind power company. The purpose is to time shift wind energy to maximize the expected daily profit following uncertainties
in wind generation and electricity price. A stochastic dynamic programming (SDP) framework is adopted to formulate this problem, and an objective function approximation method is applied to improve the SDP computational efficiency. Case studies on the
Electric Reliability Council of Texas demonstrate that the resultant profits from SDP-based operation policy are considerably higher than those from deterministic policy, and comparable to those from the perfect information model. It is concluded that the presented SDP approach can provide operation policy highly adaptive to uncertainties arising from wind and price. The proposed framework can help the wind company optimally manage its generation with ESS.
2021-08-25 17:05:37
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