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首页> 外文期刊>International Journal of Innovative Computing Information and Control >A NOVEL SOCIAL-ENVIRONMENTAL-ECONOMIC DISPATCH MODEL FOR THERMAL/WIND POWER GENERATION AND APPLICATION
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A NOVEL SOCIAL-ENVIRONMENTAL-ECONOMIC DISPATCH MODEL FOR THERMAL/WIND POWER GENERATION AND APPLICATION

机译：火电/风电发电的新型社会环境经济调度模型

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摘要

A novel model including social, environmental and economic benefits is proposed in hybrid thermal/wind power system and studied by Karush-Kuhn-Tucker and hybrid particle swarm optimization techniques. Our work is the first to develop social dispatch model by calculating risk caused by wind power. Then the novel multi-objective optimization model of social-environment-economic dispatch is established. Karush-Kuhn-Tucker method is used to convert multi-objective model into single-objective one. Particle swarm algorithm and multiplier method are combined to solve constraint optimization problem. So an improved Karush-Kuhn-Tucker and hybrid particle swarm optimization algorithm is proposed. Several scenarios are discussed to evaluate the simulation of three optimization models respectively considering economic dispatch, environmental-economic dispatch, and social-environmental-economic dispatch. The experimental studies show that the proposed algorithm is more accurate with less computational time than commonly used optimization methods. The actual implementation results demonstrate that the model and algorithm are effective and practical to improve the security of power system and reduce power operation costs, energy consumption and emissions.
机译：在混合热电/风力发电系统中，提出了一种包含社会，环境和经济效益的新模型，并通过Karush-Kuhn-Tucker和混合粒子群优化技术对其进行了研究。我们的工作是第一个通过计算风能引起的风险来开发社会调度模型的方法。然后建立了新的社会环境经济调度多目标优化模型。使用Karush-Kuhn-Tucker方法将多目标模型转换为单目标模型。结合粒子群算法和乘数法解决约束优化问题。因此，提出了一种改进的Karush-Kuhn-Tucker和混合粒子群优化算法。讨论了几种情景，以评估三种优化模型的仿真，分别考虑了经济调度，环境经济调度和社会环境经济调度。实验研究表明，与常用的优化方法相比，所提算法更准确，计算时间更少。实际实施结果表明，该模型和算法对提高电力系统的安全性，降低电力运行成本，能耗和排放是有效和实用的。

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