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Procurement of electrical energy and operating reserve ancillary services in wind incorporated deregulated system considering demand response

机译:在风化中采购电能和操作储备辅助服务,考虑需求响应的解除管制系统

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摘要

This study presents the procurement of electrical energy and operating reserve ancillary services (ORASs) by the simultaneous clearing of the wind integrated power market under the pool-based deregulated environment. This investigation is important due to the intermittent output of wind generators, which is a serious concern for medium and high wind penetration and requirement of high operating reserves for maintaining the security of such systems. The market model is presented for the clearing of energy and ORAS market, where both thermal generators and demand response offers supply the reserves. This model is analysed for energy and spinning reserve (ESR) cost minimisation, emission minimisation, and co-optimisation of ESR cost and emission. The non-dominated sorting multi-objective gravitational search algorithm is employed to obtain Pareto optimal solutions. The efficacy of the presented method is investigated on IEEE 30-bus, IEEE 118-bus, and IEEE 300-bus test systems for different levels of wind uncertainty. The results are compared with multi-objective particle swarm optimisation.
机译:本研究提出了通过在基于泳池的解除管制环境下同时清除风集成电力市场的电能和操作储备辅助服务(ORASS)。由于风力发电机的间歇输出,这项调查是重要的,这对中型和高风渗透以及高运行储备要求保持这种系统的安全性。提供市场模式,以清除能源和oras市场,其中热发电机和需求响应都提供提供储备。分析该模型以进行能量和纺纱储备(ESR)成本最小化,发射最小化和ESR成本和排放的共同优化。采用非主导的分类多目标重力搜索算法来获得Pareto最佳解决方案。在IEEE 30-BUS,IEEE 118总线和IEEE 300总线测试系统上研究了所提出的方法的功效,用于不同的风不确定性。将结果与多目标粒子群优化进行比较。

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