Solutions to practical unit commitment problems with operational, power flow and environmental constraints
Solutions to practical unit commitment problems with operational, power flow and environmental constraints
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DOI：
10.1109/pes.2006.1708996
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发表时间：
2006-10
期刊：
影响因子：
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通讯作者：
I. Raglend;N. P. Padhy
中科院分区：
文献类型：
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作者：
I. Raglend;N. P. Padhy
本文提出了一种求解具有运行和潮流约束的环境约束机组组合问题（UCP）的算法，以规划经济安全的发电计划。经济负荷调度（ELD）和经济排放调度（EED）已被应用于获得最佳的燃料成本和最佳的发电机组的排放在整个时间范围。通过同时考虑ELD和EED，将环境约束问题的机组组合解表示为多目标问题。通过引入价格惩罚因子，将共同经济排放调度（CEED）双目标问题转化为单目标问题。提出了一种改进的价格惩罚因子来解决这一问题。由于电力系统网络的安全运行，没有操作和潮流约束的UCP解决方案是不实际的。该算法引入了一种有效的机组组合（UC）方法，该方法考虑了环境约束沿着潮流约束，使运行成本最小，同时满足机组和网络约束。在所提出的模型中，重复的最优潮流（OPF）的满意的单元组合在给定的研究期间已进行获得UC解决方案与操作和潮流约束。该算法已被测试为环境约束的UCP IEEE 30总线和印度实用的系统，并没有功率流的限制，计划为24小时。所得到的解决方案是相当令人鼓舞的和有用的经济排放环境。在Matlab环境下进行了算法和仿真
In this paper, an algorithm to solve environmental constrained unit commitment problem (UCP) with operational and power flow constraints has been developed to plan an economic and secure generation schedule. Both economic load dispatch (ELD) and economic emission dispatch (EED) have been applied to obtain optimal fuel cost and optimal emission of generating units for the entire time horizon. The unit commitment solution for the environmental constrained problem has been formulated as a multiobjective problem by considering both ELD and EED simultaneously. The common economic emission dispatch (CEED) bi-objective problem is converted to single objective function by adding a price penalty factor. A modified price penalty factor is proposed to solve this problem. The UCP solutions without operational and power flow constraints are not practical due to secure operation of the power system network. This proposed algorithm introduces an efficient unit commitment (UC) approach considering environmental constraints along with power flow constraints that obtains the minimum operating cost satisfying both unit and network constraints. In the proposed model repeated optimal power flow (OPF) for the satisfactory unit combinations under the given study period has been carried out to obtain UC solutions with both operational and power flow constraints. This proposed algorithm has been tested for environmental constrained UCP on IEEE 30 bus and Indian utility practical systems with and without power flow constraints scheduled for 24 hours. The solutions obtained are quite encouraging and useful in the economic emission environment. The algorithm and simulation are carried through Matlab environment