| 引用本文: | 窦晓波,袁 简,吴在军,倪益民,樊 陈,晓 宇.并网型风光储微电网容量改进优化配置方法[J].电力自动化设备,2016,36(3): |
| DOU Xiaobo,YUAN Jian,WU Zaijun,NI Yimin,FAN Chen,XIAO Yu.Improved configuration optimization of PV-wind-storage capacities for grid-connected microgrid[J].Electric Power Automation Equipment,2016,36(3): |
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| 摘要: |
| 合理配置风机、光伏、储能等微电源的容量是保证微电网经济、可靠运行的前提。针对并网型微电网容量的配置，借鉴现有分布式光伏运营方式，提出2种并网型微电网的商业运营模式；为充分利用配电网资源和提高微电网孤岛能力，设计了一种综合能量调度策略；对综合考虑微电网经济性、可靠性和可再生能源利用率的风光储容量配置模型的目标函数，提出了结合上述运营模式和调度策略的计算方法；从工程应用角度详述了计算满足电力系统运行规范、微电网友好接入条件的联络线功率限值的方法，作为风光储容量配置模型的约束条件；针对容量配置模型的求解，提出了基于限定搜索范围、增加随机个体等措施的改进遗传算法；利用江苏某岛的风光资源数据进行了仿真分析，验证了所提出的风光储容量配置方法的有效性和优越性。 |
| 关键词: 微电网 风光储系统 能量调度策略 遗传算法 容量配置 优化 风电 光伏 储能 |
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| 基金项目:国家高技术研究发展计划（863计划）资助项目（2014AA052002）；国家自然科学基金资助项目（51307023）；江苏省基础研究计划项目（BK20130624）；国家电网公司总部科技项目（SGTYHT／14 - JS -188） |
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| Improved configuration optimization of PV-wind-storage capacities for grid-connected microgrid |
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DOU Xiaobo1, YUAN Jian1, WU Zaijun1, NI Yimin2, FAN Chen2, XIAO Yu1
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1.School of Electrical Engineering，Southeast University，Nanjing 210096，China;2.Electric Power Automation Research Institute of China Electric Power Research Institute，Beijing 100192，China
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| Abstract: |
| The reasonable capacity configuration of wind turbine，PV（PhotoVoltaic） and energy storage in a microgrid is the prerequisite of its reliable and economical operation. For the grid-connected microgrid，two commercially operating modes are proposed according to the existing operating mode of distributed PV system. A comprehensive energy dispatch strategy is designed to fully use the resources of power distribution network and enhance the islanding ability of microgrid. For the objective function of a wind-PV-storage capacity configuration model comprehensively considering the economy，reliability and renewable energy usage rate of microgrid，a calculation method combining with the operating mode and dispatch strategy is proposed. For the engineering applications，a method for calculating the power limit of tie line to meet the operational specifications of power system and the friendly connection conditions of microgrid is elaborated，which is used as the constraint of the configuration model. An improved genetic algorithm based on the limited searching area and increased random individuals is presented to solve the configuration model. A simulative analysis is carried out based on the wind-PV resource data of an island in Jiangsu province to verify the effectiveness and superiority of the proposed PV-wind-storage capacity configuration method. |
| Key words: microgrid PV-wind-storage system energy dispatch strategy genetic algorithms capacity configuration optimization wind power photovoltaic energy storage |
