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1.华北电力大学电气与电子工程学院,北京市 102206
2.国家电网有限公司西北分部,陕西省西安市 710048
Received:28 September 2020,
Revised:2020-12-30,
Published Online:30 January 2021,
Published:25 March 2021
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张粒子,许传龙,贺元康等.兼容中长期实物合同的日前市场出清模型[J].电力系统自动化,2021,45(6):16-25.
ZHANG Lizi,XU Chuanlong,HE Yuankang,et al.Day-ahead Market Clearing Model Compatible with Medium- and Long-term Physical Contracts[J].Automation of Electric Power Systems,2021,45(6):16-25.
张粒子,许传龙,贺元康等.兼容中长期实物合同的日前市场出清模型[J].电力系统自动化,2021,45(6):16-25. DOI: 10.7500/AEPS20200928001.
ZHANG Lizi,XU Chuanlong,HE Yuankang,et al.Day-ahead Market Clearing Model Compatible with Medium- and Long-term Physical Contracts[J].Automation of Electric Power Systems,2021,45(6):16-25. DOI: 10.7500/AEPS20200928001.
如何处理中长期实物合同交割与电网运行约束之间的衔接问题,是分散式市场模式现货市场出清模型设计的关键。文中分析了欧洲分散式市场模式现货市场出清模型的特点,根据中国电力交易和调度管理体制与欧洲的差异,设计了一种日前现货交易与中长期实物合同交割、电网阻塞管理协同优化的市场出清模型。模型允许机组在日前自主决定其次日启停机计划,通过反向交易报价机制实现对中长期实物合同发用电计划的阻塞管理和帕累托改进,通过引入供需平衡松弛变量满足极端供需情况下的模型求解问题。基于IEEE 30节点系统的算例仿真表明,模型能够适应不同市场场景的运行需要,提高日前市场和实时平衡两阶段的整体社会福利。
The coordination between medium- and long-term physical contract delivery and power grid operation constraints is a key issue to the design of the spot market clearing model in the decentralized market mode. This paper analyzes the characteristics of the European spot market clearing model in the decentralized market mode. According to the difference of electricity trading and dispatch management systems between China and Europe
a market clearing model which achieves coordinated optimization of day-ahead spot transactions
medium- and long-term physical contract delivery and grid congestion management is designed. Under the designed model
generators are allowed to independently decide the start-up and shut-down plans on the next day. The congestion management and Pareto improvement of the electricity generation plan of medium- and long-term physical contracts can be realized through the reverse transaction bidding mechanism
and the model solving problem in the extreme supply and demand situation is solved by introducing the slack variable of supply and demand balance. The simulation results based on IEEE 30-bus system show that the model can adapt to the operation needs of different market scenarios and improve the overall social welfare in the two stages of day-ahead market and real-time balancing.
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