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| 基于社会福利最大化方法的节点实时电价策略 |
| Node real-time pricing strategy based on social welfare maximization |
| 投稿时间：2023-07-17 |
| DOI：10.13259/j.cnki.eri.2026.01.006 |
| 中文关键词: 电力系统 新能源 社会福利 节点实时电价 拉格朗日对偶 |
| 英文关键词:power system renewable energy social welfare node real-time pricing Lagrangian duality method |
| 基金项目:国家自然科学基金资助项目(72071130) |
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| 中文摘要: |
| 针对仅考虑供需平衡约束设计的实时定价机制存在诸多局限性的问题，对考虑新能源和储能装置并网情形下的多供电商多用户电力系统进行研究，提出将直流潮流中的潮流约束应用到实时定价策略中，并结合用户用电特点，建立以社会福利最大化为目标的节点实时电价模型。利用拉格朗日对偶法和拟牛顿法对该模型进行求解，得到最优电价。其中，节点电价包含效用、成本和拥堵三部分。以改进的3节点系统为例进行仿真计算，结果表明：该模型能够计算出各节点的最优用电量和电力价格；与其他模型相比，该模型社会福利值最优，从而验证了模型的有效性和可行性。 |
| 英文摘要: |
| To address the limitations of real-time pricing mechanisms that consider only supply-demand balance constraints, a multi-supplier multi-user power system integrating renewable energy and energy storage devices is investigated. A node real-time pricing model aimed at maximizing social welfare is established by incorporating power flow constraints from DC power flow into the real-time pricing strategy, combined with users' electricity consumption characteristics. The model is solved using the Lagrangian duality method and quasi-Newton method to obtain optimal prices. The node price consists of three components: utility, cost, and congestion. Finally, taking an improved 3-node system as an example, simulation results demonstrate that the model can optimally schedule electricity consumption and prices at each node. Comparative analysis with other models shows that this model achieves the highest social welfare, verifying its effectiveness and feasibility. |
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