| 基于风险的风电并网可容许性评估 |
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| 引用本文： | 杨家然,王兴成,隋林涛,刘先正,罗晓芬.基于风险的风电并网可容许性评估[J].电力自动化设备,2017,37(8). |
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| 作者姓名： | 杨家然 王兴成 隋林涛 刘先正 罗晓芬 |
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| 作者单位： | 大连海事大学 信息科学技术学院，辽宁 大连 116026,大连海事大学 信息科学技术学院，辽宁 大连 116026,华能威海发电有限责任公司，山东 威海 264205,大连海事大学 信息科学技术学院，辽宁 大连 116026,华能威海发电有限责任公司，山东 威海 264205 |
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| 摘 要： | 随着日益增长的大规模风电并网，其波动性和随机性已对电力系统安全稳定运行产生了严重的影响。提出一种基于风险的风电功率可容许性评估方法，定量评估在既定经济调度策略下电力系统无风险消纳风电功率最大值。定义由风电波动性和随机性引起的运行风险作为其可容许性测度，建立风险最小化、边界最大化模型来刻画风电功率可容许区域，在此区域内风电功率任意值不会影响系统运行可行性。以改进鸡群算法对模型进行求解。算例分析验证了所提模型及算法的有效性。
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| 关 键 词： | 风电 风电功率可容许性 经济调度 风险评估 不确定性 鸡群算法 |
| 收稿时间： | 2016/12/10 0:00:00 |
| 修稿时间： | 2017/6/27 0:00:00 |
Risk-based admissibility assessment of wind power integration |
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| YANG Jiaran,WANG Xingcheng,SUI Lintao,LIU Xianzheng and LUO Xiaofen.Risk-based admissibility assessment of wind power integration[J].Electric Power Automation Equipment,2017,37(8). |
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| Authors: | YANG Jiaran WANG Xingcheng SUI Lintao LIU Xianzheng and LUO Xiaofen |
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| Affiliation: | College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China,College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China,Huaneng Weihai Power Generation Co.,Ltd.,Weihai 264205, China,College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China and Huaneng Weihai Power Generation Co.,Ltd.,Weihai 264205, China |
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| Abstract: | With the increasing integration of large-scale wind power, its fluctuation and randomness have seriously impacted the safe and stable operation of power system. A risk-based approach of wind power admissibility assessment is proposed to quantitatively evaluate the maximum wind power that can be accommodated by the power system without any risk under a given economic dispatch strategy. The operational risk due to the fluctuation and randomness of wind power is defined as a measure of admissibility and a model with the minimum risk and the maximum boundary is built to characterize the admissible region of wind power, in which, the wind power at arbitrary level will not affect the feasibility of system operation. An improved chicken swarm optimization algorithm is adopted to solve the model. Case analysis verifies the effectiveness of the proposed model and algorithm. |
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| Keywords: | wind power wind power admissibility economic dispatch risk assessment uncertainty chicken swarm optimization algorithm |
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