陈雨果, 张轩, 罗钢, 白杨, 谭振飞, 钟海旺. 用户报量不报价模式下电力现货市场需求响应机制与方法[J]. 电力系统自动化, 2019, 43(9): 179-186.
引用本文: 陈雨果, 张轩, 罗钢, 白杨, 谭振飞, 钟海旺. 用户报量不报价模式下电力现货市场需求响应机制与方法[J]. 电力系统自动化, 2019, 43(9): 179-186.
CHEN Yuguo, ZHANG Xuan, LUO Gang, BAI Yang, TAN Zhenfei, ZHONG Haiwang. Demand Response Mechanism and Approach of Electricity Spot Market in Bidding Mode without Price on User Side[J]. Automation of Electric Power Systems, 2019, 43(9): 179-186.
Citation: CHEN Yuguo, ZHANG Xuan, LUO Gang, BAI Yang, TAN Zhenfei, ZHONG Haiwang. Demand Response Mechanism and Approach of Electricity Spot Market in Bidding Mode without Price on User Side[J]. Automation of Electric Power Systems, 2019, 43(9): 179-186.

用户报量不报价模式下电力现货市场需求响应机制与方法

Demand Response Mechanism and Approach of Electricity Spot Market in Bidding Mode without Price on User Side

  • 摘要: 为了积极稳妥地推进中国电力现货市场建设,以用户报量不报价的方式开展需求侧响应是电力现货市场建设初期循序渐进的选择,由此产生了在日前市场模型中如何考虑需求弹性的问题。针对用户报量不报价方式下的市场运行特点,提出了相应的现货市场需求响应机制,研究了对用户日前申报负荷进行弹性化修正,并依据修正后的负荷开展安全校核,优化决策考虑需求弹性的日前发电计划模型和方法。首先分析用户日前负荷申报、对价格做出响应的行为机理,在此基础上研究基于模型和数据驱动的申报负荷弹性化修正方法,并建立了基于负荷需求弹性的日前发电计划优化与安全校核模型。通过在日前提前考虑用户在实时市场上的价格响应行为,实现了日前发电计划更优化、安全校核更精准。基于IEEE 30节点的算例分析验证了所提模式和方法的效益和有效性。

     

    Abstract: In order to promote the construction of Chinese electricity spot market actively and steadily, it is a gradual evolution path in the initial stage of electricity market construction to start with bidding without price on the demand side, which leads to the question of how to consider the demand elasticity in day-ahead market model. In view of the market operation characteristics in bidding mode without price, the response mechanism of corresponding spot market demand is proposed. The flexible modification of the users’ day-ahead reporting load is studied and security check is carried out based on the modified load to optimize day-ahead generation scheduling model considering demand response. Mechanism of users’ day-ahead bidding behavior and response behavior to price is analyzed firstly. Secondly, the model based method and data-driven method of elasticity revision for reporting load are discussed, respectively. Thirdly, the generation scheduling and security check model based on demand elasticity of load are formulated. Case study based on IEEE 30-bus system is employed to verify the benefits and effectiveness of the proposed mode and method.

     

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