考虑需求响应的虚拟电厂双层优化调度
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TM73

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国家自然科学基金(51807114);上海市科委项目(18DZ1203200)


Bi-level optimization dispatch of virtual power plants considering the demand response
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    摘要:

    为有效利用需求侧资源和可再生能源发电,从发电侧与需求侧角度出发,定义商业型和技术型虚拟电厂,建立商业层与技术层相结合的虚拟电厂双层优化模型。上层商业型虚拟电厂管理用户负荷,以用户侧收益最大为目标,在制定的分时电价基础上对不同类型的可控负荷进行优化,综合利用价格型和激励型需求响应的调度作用。下层技术型虚拟电厂管理风光燃储联合发电系统,在满足上层调度结果的基础上,以分布式电源出力成本最小为目标进行优化,同时兼顾需求侧和发电侧的利益。最后,利用CPLEX求解器得出虚拟电厂的调度策略,对比不同场景下虚拟电厂的经济效益,验证所建立模型的合理性。

    Abstract:

    In order to effectively utilize demand-side resources and renewable energy power generation, the virtual power plants can be defined as commercial virtual power plants and technical virtual power plants according to their different characteristics and then a bi-layer optimization model of virtual power plants combining the commercial layer and the technical layer is established on the basis. Among them, the upper-level commercial virtual power plant manages user loads with the goal of maximizing user-side benefits. Different types of controllable loads is optimized on the basis of the established time-of-use electricity price and the scheduling role of price-based and incentive-based demand response is comprehensively utilized. Meanwhile, the technology-based virtual power plant would manage the wind-photovoltaic-fuel-storage combined power system and the lower-level objective is minimizing the output cost of distributed power sources on the basis of satisfying the upper-level scheduling results. The proposed method takes into account the benefits for both demand side and power generation side simultaneously. Finally, the dispatching strategy of the virtual power plant is obtained by applying the CPLEX solver. The economic benefits of the virtual power plant in different scenarios are compared to verify the rationality of the established model.

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杨秀,杜楠楠,孙改平,方晨,田英杰.考虑需求响应的虚拟电厂双层优化调度[J].电力科学与技术学报,2022,(2):137-146. YANG Xiu, DU Nannan, SUN Gaiping, FANG Chen, TIAN Yingjie. Bi-level optimization dispatch of virtual power plants considering the demand response[J]. Journal of Electric Power Science and Technology,2022,(2):137-146.

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  • 在线发布日期: 2022-05-26
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