| 引用本文: | 陆玉玉,王波,王晓飞,李军祥.考虑公平性的智能电网实时电价收益均衡模型[J].电力系统保护与控制,2019,47(21):41-46.[点击复制] |
| LU Yuyu, WANG Bo, WANG Xiaofei and LI Junxiang.Real-time pricing revenue equilibrium model considering fairness in smart grid[J].Power System Protection and Control,2019,47(21):41-46[点击复制] |
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| 摘要: |
| 传统福利最大化模型只极大化了用户效用，电力供应商收益却很低。首先，从公平性角度出发，同时考虑这两个电力系统参与主体，建立了智能电网实时电价收益均衡模型。然后，在满足约束条件的情况下，运用粒子群算法进行求解。仿真结果表明，与传统福利最大化模型相比，考虑公平性的收益均衡模型不仅平衡了二者的收益，使社会资源分配更加合理，而且同时也有效地降低了各时段的用电总负荷，验证了该模型的有效性。 |
| 关键词: 智能电网 实时电价 粒子群算法 仿真 |
| DOI：10.19783/j.cnki.pspc.181339 |
| 投稿时间：2018-10-28修订日期：2019-05-11 |
| 基金项目:国家自然科学基金项目资助(71572113) |
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| Real-time pricing revenue equilibrium model considering fairness in smart grid |
| LU Yuyu,WANG Bo,WANG Xiaofei,LI Junxiang |
| (Business School, University of Shanghai for Science and Technology, Shanghai200093, China) |
| Abstract: |
| In view of the traditional welfare maximization model only maximizing the user utility, the electricity supplier's revenue is very low. From the perspective of fairness, this paper first considers the two power system participants, and establishes the real-time pricing revenue equilibrium model of smart grid. Then it uses the particle swarm optimization algorithm to solve the problem when meeting the constraints. The simulation results show that compared with the traditional welfare maximization model, the revenue equilibrium model considering fairness not only balances the benefits of the two, but also makes the social resource allocation more reasonable. At the same time, it effectively decreases the total load of electricity in each period, which all shows the model is effective. This work is supported by National Natural Science Foundation of China (No. 71572113). |
| Key words: smart grid real-time pricing particle swarm algorithm simulation |
