引用本文:徐熙林,宋依群,姚良忠,严正.高比例可再生能源受端区域电网调峰的出力网际分配[J].电力自动化设备,2017,37(8):
XU Xilin,SONG Yiqun,YAO Liangzhong,YAN Zheng.Power-output allocation for peak regulation of regional grid with high penetration of renewable energy resources[J].Electric Power Automation Equipment,2017,37(8):
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高比例可再生能源受端区域电网调峰的出力网际分配
徐熙林1, 宋依群1, 姚良忠2, 严正1
1.上海交通大学 电气工程系 电力传输与功率变换控制教育部重点实验室,上海 200240;2.中国电力科学研究院,北京 100192
摘要:
随着我国可再生能源大规模并网,低谷调峰成为诸多高比例可再生能源受端区域电网运行的困难之一。通过区域电网直调机组网际出力分配可以缓解区域内各省网的调峰压力。建立了以省网负荷平稳性和区域直调机组收益最大化为优化目标的二次规划模型,引入价格杠杆和调峰压力系数,以协调各省网的调峰需求。在此基础上,考虑风电功率的不确定性,建立机会约束规划模型,通过蒙特卡洛模拟技术进行求解,验证不确定性和风险存在条件下,网际出力配置模型的有效性。华东直调系统简化算例的仿真结果表明,所提模型能够有效地解决高比例可再生能源受端电网的调峰难题。
关键词:  调峰  出力配置  高比例可再生能源  机会约束规划  蒙特卡洛方法
DOI:10.16081/j.issn.1006-6047.2017.08.006
分类号:TM732
基金项目:国家重点研发计划资助项目(2016YFB0900105)
Power-output allocation for peak regulation of regional grid with high penetration of renewable energy resources
XU Xilin1, SONG Yiqun1, YAO Liangzhong2, YAN Zheng1
1.Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2.China Electric Power Research Institute, Beijing 100192, China
Abstract:
With the large-scale integration of renewable energy resources, peak regulation during valley-load period becomes an operational difficulty of regional grid with high penetration of renewable energy resources. Power-output allocation among the generators directly-dispatched by the regional grid can relieve the peak regulation pressure of provincial grids. A quadratic programming model with the load stability of provincial grids and the maximum profit of directly-dispatched regional generators as its objectives is built and the price leverage and peak regulation pressure coefficient are introduced to coordinate the peak regulation demands of different provincial grids, based on which, a chance-constrained programming model considering the wind-power uncertainty is built and solved by the Monte Carlo simulation technology to verify the effectiveness of the proposed power-output allocation model in the conditions of uncertainty and risk. The simulative results of a simplified example of East China Power Grid show that, the proposed model can effectively solve the peak regulation difficulty of regional grid with high penetration of renewable energy resources.
Key words:  peak regulation  power-output allocation  high penetration of renewable energy resources  chance-constrained programming  Monte Carlo methods

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