不完全竞争电力市场中节点和区域定价的生产效率

M. Sarfati, M. Hesamzadeh, P. Holmberg
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引用次数: 31

摘要

电力市场采用不同的拥塞管理方法来处理电力系统有限的传输容量。本文比较了节点定价和分区定价的生产效率和其他方面。我们考虑两种类型的分区定价:带可用输电容量的分区定价(ATC)和带基于流量的市场耦合的分区定价(FBMC)。建立了基于FBMC的区域定价不完全竞争的数学模型。区域定价采用FBMC分为两个阶段,即日前市场阶段和再调度阶段。我们证明了最优性条件和市场出清条件可以重新表述为一个混合整数线性规划(MILP),它易于实现。区域定价与空中交通管制和节点定价是我们的基准。并将带ATC和节点定价的分区不完全竞争模型表述为MILP模型。所有的MILP模型都在6节点和改进的IEEE 24节点系统上进行了验证。数值计算结果表明,基于ATC的分层定价会导致生产效率低下。在FBMC的区域定价中,改善输电网络的表示可以缓解incdec博弈。
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Production Efficiency of Nodal and Zonal Pricing in Imperfectly Competitive Electricity Markets
Electricity markets employ different congestion management methods to handle the limited transmission capacity of the power system. This paper compares production efficiency and other aspects of nodal and zonal pricing. We consider two types of zonal pricing: zonal pricing with Available Transmission Capacity (ATC) and zonal pricing with Flow-Based Market Coupling (FBMC). We develop a mathematical model to study the imperfect competition under zonal pricing with FBMC. Zonal pricing with FBMC is employed in two stages, a day-ahead market stage and a re-dispatch stage. We show that the optimality conditions and market clearing conditions can be reformulated as a mixed integer linear program (MILP), which is straightforward to implement. Zonal pricing with ATC and nodal pricing is used as our benchmarks. The imperfect competition under zonal pricing with ATC and nodal pricing are also formulated as MILP models. All MILP models are demonstrated on 6-node and the modified IEEE 24-node systems. Our numerical results show that the zonal pricing with ATC results in large production inefficiencies due to the inc-dec game. Improving the representation of the transmission network as in the zonal pricing with FBMC mitigates the inc-dec game.
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