Optimal scheduling of virtual power plant considering demand side response

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI:10.1117/12.2682490

Haolin Sun, Anni Wang, Zijian Gao, Juan Liu, Jia Cui, Jiazheng Tian, C. Li

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引用次数: 1

Abstract

In this paper, a virtual power plant model considering demand side response is proposed. Considering the influence of price demand-side response on virtual power plant, an optimal scheduling control method was proposed for virtual power plant, which included demand-side response, wind power, photovoltaic, gas turbine and energy storage equipment. Firstly, a mathematical model was built with the maximum net income of virtual power plant as the objective function. Secondly, a reasonable operation strategy was designed. The demand-side response strategy was optimized based on wind-landscape output prediction. Thirdly, the gas turbine and energy storage equipment coordinated the output allocation to compensate the deviation between the actual output and the predicted output of the scenery. Finally, through the simulation analysis of the example, the results show that the consideration of the demand-side response based on price in the virtual power plant can standardize the user's electricity consumption. And the load peaking and valley filling effect is obvious. The designed operation strategy has coordinated the power distribution of various energy sources and maximized the income of the virtual power plant.

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考虑需求侧响应的虚拟电厂最优调度

本文提出了考虑需求侧响应的虚拟电厂模型。考虑价格需求侧响应对虚拟电厂的影响，提出了一种包括需求侧响应、风电、光伏、燃气轮机和储能设备在内的虚拟电厂最优调度控制方法。首先，以虚拟电厂的最大净收益为目标函数，建立数学模型;其次，设计合理的运营策略。基于风景观输出预测，优化了需求侧响应策略。第三，燃气轮机与储能设备协调输出分配，补偿实际输出与情景预测输出之间的偏差。最后，通过算例仿真分析，结果表明在虚拟电厂中考虑基于价格的需求侧响应可以规范用户的用电量。荷载调峰和填谷效果明显。所设计的运行策略协调了各种能源的功率分配，使虚拟电厂的收益最大化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Conference on Electronic Information Engineering and Data Processing

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