基于分时电价机制的并网型微网多目标动态优化调度
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(广西大学电气工程学院,广西 南宁 530004)

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王先齐(1991-),男,硕士研究生,研究方向为复杂系统优化与控制;E-mail:wxq_20150612@163.com
吕智林(1971-),女,通信作者,博士,教授,硕导,研究方向为智能电网、系统优化及复杂系统集成控制等;E-mail:luzhilin2001@163.com
汤泽琦(1990-),男,硕士研究生,研究方向为复杂系统优化与控制。E-mail:tangzqxx@163.com

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基金项目:

国家自然科学基金资助项目(61364027);广西自然科学基金资助项目(2014GXNSFAA118384)


Multiobjective dynamic optimal dispatching of grid-connected microgrid based on TOU power price mechanism
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(College of Electric Engineering, Guangxi University, Nanning 530004, China)

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    摘要:

    针对并网条件下的微网优化调度问题,提出一种基于分时电价机制下的储能单元固定调度策略与可控微源动态优化调度相结合的微网运行调度方法。考虑系统功率平衡、失荷率及各种微源出力特性等主要约束,将储能蓄电池充放电折旧成本和与电网能量交换成本-收益计入运行经济成本,微网及电网侧发电污染物排放计入环境成本,建立了并网型微网多目标动态优化调度模型。并采用基于Tent映射混沌种群初始化方法和NDX交叉算子产生子代的多目标遗传算法NSGA-II优化系统内部可控微源出力。最后以风/光/柴/燃/储并网型微网系统进行算例仿真,验证所提模型合理性和求解方法的有效性。

    Abstract:

    For the optimal dispatching problems of connected-microgrid, an operating dispatching method combining fixed dispatching strategy of energy storage unit and dynamic optimal dispatching of controlled microsource based on time-of-use (TOU) power price mechanism is proposed. Considering system constraints such as the power balance, loss of power supply probability as well as output characteristic of controlled microsource, this paper, reckoning the charging/ discharging depreciation cost of storage batteries and the power exchanging cost/benefit between microgrid and power gird into operating economic cost, and pollutant emissions generated by the microgrid and power grid into environment harness cost, establishes a multiobjective dynamic optimal dispatching model. The improved multiobjective optimization genetic algorithm NSGA-II based on a tent maps chaos population initialization method and NDX crossover operator to product offspring is applied to optimize the output power of controlled microsource. Finally, taking a wind/PV/ diesel/fuel-cell/battery hybrid grid-connected microgrid system for a simulation example, the rationality of the proposed model and effectiveness of the method are verified. This work is supported by National Natural Science Foundation of China (No. 61364027) and Natural Science Foundation of Guangxi Province (No. 2014GXNSFAA118384).

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王先齐,吕智林,汤泽琦.基于分时电价机制的并网型微网多目标动态优化调度[J].电力系统保护与控制,2017,45(4):9-18.[WANG Xianqi, Lü Zhilin, TANG Zeqi. Multiobjective dynamic optimal dispatching of grid-connected microgrid based on TOU power price mechanism[J]. Power System Protection and Control,2017,V45(4):9-18]

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  • 收稿日期:2016-03-01
  • 最后修改日期:2016-04-10
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  • 在线发布日期: 2017-02-21
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