Collaborative Planning Strategy for Active Distribution Network of Wind Power-Photovoltaic-Energy Storage Systems Based on Second-Order Cone Relaxation

Zhong Zheng, S. Miao, Haipeng Zhao, Q. Tu, Songyan Zhang, H. Yin
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引用次数: 1

Abstract

With the increasing penetration rate of renewable energy in power grid, the realization of safe, economic, efficient and reliable renewable energy consumption is one of the most urgent problems to be solved. Collaborative planning strategy for active distribution network(ADN) of wind power-photovoltaic-energy storage systems(ESS) based on second-order cone relaxation(SOCR) is proposed in this paper. Firstly, considering the optimization objectives and constraints of each subject, the optimal planning models of wind power, photovoltaic, ESS and power grid are established respectively; Secondly, SOCR is used to relax the non-convex constraints such as AC power flow constraints to obtain the optimal convex planning model of ADN. Thirdly, analytic hierarchy process(AHP) is used to characterize the interest interaction of wind power, photovoltaic, ESS and power grid, and then collaborative planning strategy of the system is proposed. Finally, the effectiveness of the collaborative planning strategy proposed in this paper is verified through example analysis.
基于二阶锥松弛的风电-光伏-储能系统有源配电网协同规划策略
随着可再生能源在电网中的渗透率不断提高,实现安全、经济、高效、可靠的可再生能源消费是亟待解决的问题之一。提出了一种基于二阶锥松弛(SOCR)的风电-光伏-储能系统主动配电网协同规划策略。首先,考虑各学科的优化目标和约束条件,分别建立风电、光伏、ESS和电网的优化规划模型;其次,利用SOCR对交流潮流约束等非凸约束进行松弛,得到ADN的最优凸规划模型;再次,运用层次分析法(AHP)对风电、光伏、ESS和电网的利益交互进行表征,提出系统协同规划策略;最后,通过算例分析验证了本文提出的协同规划策略的有效性。
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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