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计及源荷双边性能指标的市场交易模型
引用本文:索瑞鸿,陈杏,宋依群,严正,姚良忠.计及源荷双边性能指标的市场交易模型[J].电力自动化设备,2019,39(2).
作者姓名:索瑞鸿  陈杏  宋依群  严正  姚良忠
作者单位: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;中国电力科学研究院,北京,100192
基金项目:国家重点研发计划资助项目(2016YFB0900100)
摘    要:高比例可再生能源电网内,为促进优质可控电源与可控负荷的发展,提高系统供需平衡的调节能力,考虑电源和负荷响应性能进行电力市场交易模式设计。在电源侧引入机组的调节性能指标;在负荷侧设置负荷聚合商参与市场的场景,并考虑负荷响应偏差的随机性进而提出负荷响应性能指标,以区分不同响应特性带来的运行成本差异。为合理协调计及性能指标的源荷双边资源,设计了两阶段的差异化出清机制。以系统总运行成本最小化为目标,构建有负荷聚合商参与的日前市场出清模型。通过算例结果表明,计及源荷双边性能指标的交易模型,可以引导资源的优化配置,降低市场的风险和损失。

关 键 词:电力市场  负荷响应性能  高比例可再生能源  市场交易模型  响应性能

Trading model considering bilateral performance indexes of generation and load
SUO Ruihong,CHEN Xing,SONG Yiqun,YAN Zheng and YAO Liangzhong.Trading model considering bilateral performance indexes of generation and load[J].Electric Power Automation Equipment,2019,39(2).
Authors:SUO Ruihong  CHEN Xing  SONG Yiqun  YAN Zheng and YAO Liangzhong
Affiliation:Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China and China Electric Power Research Institute, Beijing 100192, China
Abstract:To promote the development of high-quality controllable load and generators, and improve system''s ability to maintain power balance under a high share of renewable energy sources, an electricity market trading model considering response performance of generation and load is proposed. At the power supply side, indices that evaluate the response ability of generators are introduced. At the electricity demand side, the case that load aggregators participating in the electricity market is considered. Also, an index that measures the response performance of load aggregators is established considering demand response uncertainties, in which the variation in operating costs with respect to the demand response performance can be identified. To ensure an optimal allocation of generator and demand resources, a two-stage market clearing framework is proposed. A day-ahead market clearing model that minimizes the operation cost is formulated, which includes the participation of load aggregators. Test results demonstrate that the proposed model contributes to an optimal allocation of both generator and demand resources, and hence reduces the market risk and possible losses.
Keywords:electricity market  demand response performance  high share of renewable energy sources  market trading model  response performance
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