An Electricity Market Pricing Method with the Optimality Limitation of Power System Dispatch Instructions
The electricity market can optimize the resource allocation in power systems by calculating the market clearing problem. However, in the market clearing process, various market operation requirements must be considered. These requirements might cause the obtained power system dispatch instructions to deviate from the optimal solutions of original market clearing problems, thereby compromising the economic properties of locational marginal price (LMP). To mitigate the adverse effects of such optimality limitations, this paper proposes a pricing method for improving economic properties under the optimality limitation of power system dispatch instructions. Firstly, the underlying mechanism through which optimality limitations lead to economic property distortions in the electricity market is analyzed. Secondly, an analytical framework is developed to characterize economic properties under optimality limitations. Subsequently, an optimization-based electricity market pricing model is formulated, where price serves as the decision variable and economic properties, such as competitive equilibrium, are incorporated as optimization objectives. Case studies show that the proposed electricity market pricing method effectively mitigates the economic property distortions induced by optimality limitations and can be adapted to satisfy different economic properties based on market preferences.
Authors
- Xiaobing Zhang (ORCID: https://orcid.org/0000-0002-9359-579X)
- Wenjing Zu (ORCID: https://orcid.org/0000-0002-8816-9083)
- Yao Lü (ORCID: https://orcid.org/0000-0002-3380-7762)
- Yihan Zhang (ORCID: https://orcid.org/0009-0000-0167-462X)
- Junhui Liu (ORCID: https://orcid.org/0000-0002-7600-1670)
- Yi Wang (ORCID: https://orcid.org/0000-0003-3162-6711)
- Anbang Xie
- Zhi-Heng Li (ORCID: https://orcid.org/0000-0002-2405-7699)
Institutions
- Chongqing University (CN)
- North China University of Water Resources and Electric Power (CN)
- Henan Energy & Chemical Industry Group (China) (CN)
Publication Details
- Journal
- Processes
- Published
- 2025-07-13
- DOI
- https://doi.org/10.3390/pr13072235
- Primary Topic
- Electric Power System Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Technology Project of State Grid