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基于源荷互动的含风电场电力系统多目标模糊优化调度方法 被引量:31

Multi-objective fuzzy optimal dispatch based on source-load interaction for power system with wind farm
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摘要 在深入研究负荷互动特性的基础上,发挥互动负荷对系统消纳风电正负波动的效用,将互动负荷视为可调度资源融入传统日前调度模型中。综合考虑互动负荷对系统运行成本和潮流分布的影响,建立了以运行成本和网损最小为目标的含风电场电力系统多目标优化调度模型,并引入模糊理论将多目标优化问题转化为单目标优化问题进行求解,从而使发电侧和用电侧均能参与电网运行的资源优化配置。IEEE 30节点系统的仿真结果,验证了所提调度方法能够有效降低系统运行成本和网损,提高风电消纳水平。 The characteristics of interactive load are studied and the interactive load is introduced as a dispatchable resource into traditional day-ahead dispatch model to mitigate the influence of wind power fluctuation. A multi-objective optimal dispatch model with the minimum operating cost and power loss as its objectives is built for the power system with wind farm,which considers the influence of interactive load on the cost of system operation and the distribution of power flow. The fuzzy theory is applied to convert multi-objective optimization problem into single-objective optimization problem,which allows the generation side and demand side both to participate in the optimal resource allocation of power grid operation. The simulative results of IEEE 30-bus system verify that,the proposed method can effectively reduce the operating cost and grid loss of system and enhance the consumption of wind power.
出处 《电力自动化设备》 EI CSCD 北大核心 2014年第10期56-63,68,共9页 Electric Power Automation Equipment
基金 国家电网公司重大科技项目(522722140032)~~
关键词 风电 电力系统 互动负荷 优化 调度 多目标 模型 模糊理论 wind power electric power systems interactive load optimization dispatch multi-objective models fuzzy theory
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