| 引用本文: | 江岳文,陈梅森.兼顾风电接纳与风电商利益的风电装机容量分层优化[J].电力自动化设备,2017,37(4): |
| JIANG Yuewen,CHEN Meisen.Hierarchical wind-power installation capacity optimization considering grid wind-power accommodation and wind-power supplier’s benefit[J].Electric Power Automation Equipment,2017,37(4): |
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| 摘要: |
| 合理的装机容量是减少弃风、优化电力系统运行、减少风电商损失的有效方法。风电场装机容量的确定主要受电网对风电接纳能力、风电场风资源状况和风电商运营方式的影响。提出采用多目标分层优化决策方法求解风电场合理的装机容量。第一层以电力系统环境经济调度为目标，充分发挥风电的节能减排效应，计算分析不同典型日负荷下的风电接纳能力，获得多条风电接纳水平曲线；第二层以第一层电网最佳风电接纳水平为基础，根据风电场随机模拟风速时序曲线，以风电场弃风电量与欠风电量期望最小为目标，兼顾风电场商的期望利益，建立随机机会约束规划模型评估风电场最佳装机容量。仿真算例验证了所提优化模型的有效性与合理性。 |
| 关键词: 风电场 电力系统 风电接纳水平 装机容量优化 风电商利益 多目标分层优化 |
| DOI：10.16081/j.issn.1006-6047.2017.04.008 |
| 分类号:TM614 |
| 基金项目:福建省自然科学基金资助项目(2013J01176) |
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| Hierarchical wind-power installation capacity optimization considering grid wind-power accommodation and wind-power supplier’s benefit |
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JIANG Yuewen, CHEN Meisen
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College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
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| Abstract: |
| The reasonable planning of wind farm installation capacity is an effective way to lessen the wind curtailment, optimize the operation of power system and reduce the loss of wind-power suppliers, which depends mainly on the wind-power accommodation capability of grid, the wind resource of wind farm and the operating mode of wind-power supplier. A multi-objective hierarchical optimization model is proposed for the reasonable planning of wind farm installation capacity. The first optimization layer takes the environmental-economic dispatch of grid as its objective to fully play the role of wind power in the energy-saving and emission-reduction. It analyses and calculates the wind-power accommodation capability of grid for different typical daily loads to obtain different curves of wind-power accommodation level. Based on the optimal grid wind-power accommodation level obtained in the first layer and the stochastically-simulated wind-speed sequence of wind farm, the second optimization layer takes the minimum summation of wind-curtailment expectation and wind-shortage expectation as its objective. It establishes the random chance constrained programming model to evaluate the optimal wind farm installation capacity with the consideration of expected wind-power’s supplier benefit. Simulation example verifies the effectiveness and rationality of the proposed optimization model. |
| Key words: wind farms electric power systems wind-power accommodation level installation capacity optimization wind-power supplier’s benefit multi-objective hierarchical optimization |
