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Combined emission economic dispatch of power system including solar photo voltaic generation

机译：太阳能光伏发电等电力系统综合排放经济调度

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摘要

Reliable and inexpensive electricity provision is one of the significant research objectives since decades. Various Economic Dispatch (ED) methods have been developed in order to address the challenge of continuous and sustainable electricity provision at optimized cost. Rapid escalation of fuel prices, depletion of fossil fuel reserves and environmental concerns have compelled us to incorporate the Renewable Energy (RE) resources in the energy mix. This paper presents Combined Emission Economic Dispatch (CEED) models developed for a system consisting of multiple Photo Voltaic (PV) plants and thermal units. Based on the nature of decision variables, our proposed model is essentially a Mixed Integer Optimization Problem (MIOP). Particle Swarm Optimization (PSO) is used to solve the optimization problem for a scenario involving six conventional and thirteen PV plants. Two test cases, Combined Static Emission Economic Dispatch (SCEED) and Combined Dynamic Emission Economic Dispatch (DCEED), have been considered. SCEED is performed for full solar radiation level as well as for reduced radiation level due to clouds effect. Simulation results have proved the effectiveness of the proposed model.
机译：几十年来，可靠和廉价的电力供应是重要的研究目标之一。为了解决以最优成本持续提供可持续电力的挑战，已经开发了各种经济调度（ED）方法。燃料价格的迅速上涨，化石燃料储备的枯竭以及对环境的担忧，迫使我们将可再生能源（RE）资源纳入能源结构。本文介绍了为由多个光伏（PV）电厂和热力单元组成的系统开发的联合排放经济调度（CEED）模型。基于决策变量的性质，我们提出的模型本质上是混合整数优化问题（MIOP）。粒子群优化（PSO）用于解决涉及六个常规和十三座光伏电站的场景的优化问题。已经考虑了两个测试用例，即联合静态排放经济调度（SCEED）和联合动态排放经济调度（DCEED）。 SCEED的执行是为了获得完整的太阳辐射水平以及由于云效应而降低的辐射水平。仿真结果证明了该模型的有效性。

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