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Impact of load characteristics on transmission cost allocation

机译:负荷特性对输电成本分配的影响

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In today's deregulated electricity market, all decisions related to pricing of network usages are based on the economic aspect, which has increased competitions among market participants. Every market participants are to be recognized with regard to their involvement in energy exchange. Thus, development of a fair, reliable, feasible and efficient pricing model has become an important issue. A large percentage of total cost of power system operation is contributed by the cost of transmission channels. Practical power system consists of various types of loads; such as commercial, residential and industrial etc. These loads are generally nonlinear in nature and can affect the cost of transmission and its allocation up to a significant extent. In view of this, in this paper, an attempt has been made to investigate the effect of these load characteristics on transmission cost and its allocation. In this paper, the Optimum Transmission Cost (OTC) problem is formulated as an Optimal Power Flow (OPF) problem and solved using Artificial Bee Colony (ABC) algorithm. Further, the allocation of OTC is carried out through shapley value technique of Cooperative Game Theory (CGT). Modified IEEE 14 bus power system network is considered as test system and programs are developed in MATLAB. Simulated results show that the cost of transmission incurred to most of the loads increases with the increase in the load nonlinearity.
机译:在当今放松管制的电力市场中,所有与网络使用定价有关的决定都是基于经济方面的,这加剧了市场参与者之间的竞争。每个市场参与者在参与能源交换方面均应受到认可。因此,开发公平,可靠,可行和有效的定价模型已成为重要问题。电力系统运行的总成本中很大一部分是由传输通道的成本造成的。实际的电力系统由各种类型的负载组成;这些负载通常本质上是非线性的,并可能在很大程度上影响传输成本及其分配。有鉴于此,本文尝试研究这些负载特性对传输成本及其分配的影响。本文将最优输电成本(OTC)问题公式化为最优潮流(OPF)问题,并使用人工蜂群(ABC)算法进行求解。此外,场外交易的分配是通过合作博弈理论(CGT)的Shapley值技术进行的。修改后的IEEE 14总线电源系统网络被视为测试系统,并且在MATLAB中开发了程序。仿真结果表明,随着负载非线性的增加,大多数负载的传输成本也随之增加。

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