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Social welfare maximisation with a state space based model and methodology

机译:使用基于状态空间的模型和方法实现社会福利最大化

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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.
机译:本文开发的基于状态空间的模型可以最大程度地满足负载需求,同时还可以最大限度地降低运营标准约束的发电成本,从而在拥有智能电网通信技术的网络最不为人所知的状态下赎回电力市场均衡。为了优化利用智能计量设备,该模型有效地包含了需求响应,发电剩余等资源,以通过有效分类来优化市场清算价格以及市场参与者的利润。还提出了一种新颖的削减策略,以通过保持利润减少负荷来恢复汞合金的稳定性。与基于标准缩减的优化技术相比,该模型已在IEEE 30总线系统中使用基于粒子群智能的优化方法进行了测试,以产生令人鼓舞的结果。

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