), 蒋传文1, 龚开1 1.上海交通大学 电力传输与功率变换控制教育部重点实验室,上海 200240
2.国网浙江省电力有限公司 电力科学研究院,杭州 310014
3.国网浙江省电力有限公司 电力市场仿真实验室,杭州 310014
收稿日期:2021-08-12出版日期:2021-12-28发布日期:2021-12-30通讯作者:王旭E-mail:wangxu1989@sjtu.edu.cn作者简介:江 婷(1998-),女,湖北省黄石市人,硕士生,主要从事电力市场和电力系统优化运行研究.基金资助:国网浙江省电力有限公司科技资助项目(5211DS200089)Low-Carbon Optimal Operation of an Integrated Electricity-Heat Energy System in Electric Energy and Spinning Reserve Market
JIANG Ting1, DENG Hui2,3, LU Chengyu2,3, WANG Xu1(), JIANG Chuanwen1, GONG Kai1 1. Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
2. Electric Power Research Institute, State Grid Zhejiang Electric Power Supply Co., Ltd., Hangzhou 310014, China
3. State Grid Zhejiang Electricity Market Simulation Laboratory, State Grid Zhejiang Electric Power Supply Co., Ltd., Hangzhou 310014, China
Received:2021-08-12Online:2021-12-28Published:2021-12-30Contact:WANG Xu E-mail:wangxu1989@sjtu.edu.cn摘要/Abstract
摘要： 建立电-热综合能源系统,同时参与电能量市场和旋转备用市场的日前优化决策模型,并将阶梯式碳交易引入该模型中.模型采用条件风险价值方法对新能源和电负荷不确定性风险进行管理,以电-热综合能源系统运营方案成本和碳排放成本最低为目标函数,制定运行计划和安排备用资源.算例分析表明,该模型通过发挥综合能源系统多能互补优势和合理安排备用资源应对不确定性因素引发的风险,提高了能源供应的可靠性、经济性和低碳性.
关键词: 电能量市场, 旋转备用市场, 储能, 风险规避, 低碳优化运行
Abstract: A day-ahead optimal decision-making model is established for an integrated electricity-heat energy system to participate in both the electric energy market and the spinning reserve market, and the step-by-step carbon trading is introduced into the proposed model. The conditional value at risk method is used to manage the uncertainty risk of renewable energy and electrical load. With the objective to minimize the operation scheme cost and carbon emission cost, an operation plan is developed and the reserve resources are arranged for the integrated electricity-heat energy system. The results of a case study show that the proposed model improves the reliability, economy, and low-carbon level by taking the complementary advantages of the integrated energy system and reasonably arranging reserve resources to deal with the risks caused by uncertain factors.
Key words: electric energy market, spinning reserve market, energy storage, risk aversion, low-carbon optimal operation
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