基于状态空间的社会福利最大化模型与方法

Sandip Chanda, A. De
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引用次数: 0

摘要

本文建立的基于状态空间的智能电网通信模型在具有智能电网通信技术的电网最不经意状态下,实现了负荷迎合最大化和运行标准约束发电成本最小化,从而实现了电力市场均衡的赎回。为了实现智能电表设施的最优利用,该模型通过有效分类,有效地将需求响应、发电剩余等资源纳入其中,优化市场出清价格和市场参与者的利润。提出了一种新的弃电策略,将稳定恢复弃电与利润保留弃电相结合。采用基于粒子群智能的优化方法在IEEE 30总线系统中对该模型进行了测试,并与基于标准削减的优化技术进行了比较,取得了令人鼓舞的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social welfare maximisation with a state space based model and methodology
The state space based model developed in this paper maximizes load catering and simultaneously minimizes the operating standard constrained generation cost for the redemption of power market equilibrium in the most inadvertent states of the network endowed with smart grid communication technology. For optimum utilization of smart metering facility, the model effectively involves resources like demand response, generation surplus to optimize the market clearing price as well as profit of the market participants by effective categorization. A novel curtailment strategy has also been proposed to amalgam stability restoring shedding with profit retentive load cut. The model has been tested in IEEE 30 bus system with Particle Swarm Intelligence based optimization methodology in comparison with standard curtailment based optimization technique to produce encouraging results.
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