| 引用本文: | 罗煜,邓莉荣,张鑫,等.计及可行解恢复的高载能负荷-新能源有功-无功协调调度[J].电力系统保护与控制,2019,47(1):43-50.[点击复制] |
| LUO Yu,DENG Lirong,ZHANG Xin,et al.Feasible solution recovery of the coordination problem of energy intensive enterprise and renewable[J].Power System Protection and Control,2019,47(1):43-50[点击复制] |
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| 摘要: |
| 高载能负荷具有较强的用电调节能力，可通过与新能源协调促进新能源消纳。考虑节点电压约束和内部电网潮流方程的高载能负荷自调度问题是一个混合整数非线性非凸问题，现有的求解器难以求解。而采用线性潮流等简化方法求得的自调度结果不够精确，无法保证实际运行时的节点电压约束。针对以上问题，首先采用二阶锥松弛方法对原问题进行凸化以降低问题求解难度，进而采用基于交流潮流的可行解恢复过程以保证二阶锥松弛后的自调度结果精确合理。通过对比线性潮流自调度结果、基于二阶锥松弛的自调度结果、采用可行解恢复的自调度结果和原始自调度模型的结果，证明采用可行解恢复过程的自调度结果避免了基于线性潮流或基于二阶锥松弛的自调度解不精确问题。同时，相比利用现有商业求解器直接求解原问题，采用该方法可以在较短的时间内快速求得一组优化结果，有效地降低了原问题求解的难度。 |
| 关键词: 高载能负荷 新能源消纳 有功-无功协调调度 可行解恢复 |
| DOI：10.7667/PSPC180031 |
| 投稿时间：2018-01-08修订日期：2018-05-22 |
| 基金项目:南方电网有限责任公司科技项目资助(GDKJXM 20162081) |
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| Feasible solution recovery of the coordination problem of energy intensive enterprise and renewable |
| LUO Yu,DENG Lirong,ZHANG Xin,WANG Kang,CHEN Weihong,LI Jingguang |
| (Guangdong Power Grid Company, Dongguan Power Supply Bureau, Dongguan 523000, China;Tsinghua-Berkeley Shenzhen Institute, Shenzhen 518057, China) |
| Abstract: |
| The Energy Intensive Enterprises (EIEs) have considerable flexibility in energy consumption, which can be utilized to improve renewable integration. However, EIEs’ self-scheduling problem with the nodal voltage constraints and power flow equations is a mixed integer non-linear programming problem, which is hard to solve for existing solvers. Moreover, simplification of this problem such as linearization method will result in inaccuracy of the results so that the nodal voltage constraints will be violated. In order to solve the aforementioned problems, at first this paper applies second-order cone relaxation method to make the original problem convex, which reduces the difficulty to solve the problem. Then, a feasible solution recovery procedure, which is based on AC power flow, is introduced so as to recover an accurate and feasible solution from the relaxed second-order conic problem. Compared with the results from original problem, linearized problem, relaxed second order conic problem and the results from the proposed method, it is observed that the proposed method can eliminate the inaccuracy induced by second-order cone relaxation or linearization approximation. Meanwhile, the proposed method can obtain a feasible and optimized result in a short time compared to the solving time of the original problem by Knitro. Thus the difficulty of solving the self-scheduling problem is reduced. This work is supported by Science and Technology Project of China Southern Power Grid Co., Ltd (No. GDKJXM20162081). |
| Key words: energy intensive enterprise renewable integration active-reactive power coordination feasibility recovery |
