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低碳背景下智能电网减排双目标调度规划方法 被引量:3

A Dual-Objective Scheduling Planning Method for Smart Grid Emission Reduction under Low-Carbon Background
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摘要 在构建电网调度数学模型时,应充分考虑模型的最优解、电网发电成本、可再生能源利用率。提出一种低碳背景下智能电网减排双目标调度规划方法。将最小化机组发电成本、最大化减排收益分别作为节能目标和减排目标,构建电网调度双目标函数;将有功平衡约束、机组出力约束、机组爬坡约束、旋转备用约束和机组启停时间约束作为电网调度的约束条件,建立电网调度模型;采用粒子群优化算法,将火电机组编号和功率视为粒子位置,通过不断更新粒子位置直至适应值达到最大,即为输出模型全局最优解,得到火电机组出力最优调度方案。实验结果表明,在实验周期的各个时段中,所需发电成本始终低于2500元,CO_(2)排放量始终低于630 kg/h,可再生能源利用率的最高值达到87.5%。该方法可有效降低发电成本和排污量,提高可再生能源利用率,实现节能减排双重优化。 When building the mathematical model of power grid dispatching,we should fully consider the optimal solution of the model,the power generation cost of the power grid and the utilization rate of renewable energy.Therefore,a dual-objective scheduling planning method for smart grid emission reduction under the low-carbon background is proposed in this paper.Minimization of generating unit cost and maximization of emission reduction benefits are taken as the energy saving and emission reduction goals respectively,and the dual objective function of power grid dispatching is constructed.The active power balance constraint,unit output constraint,unit climbing constraint,rotating reserve constraint and unit start-up and shutdown time constraint are taken as the constraint conditions of power grid dispatching,and the power grid dispatching model is established.Furthermore,the number and power of the thermal power unit are regarded as particle positions by the particle swarm optimization algorithm,and the global optimal solution of the model is output by updating the particle positions until the adaptive value reaches the maximum value,and the optimal output scheduling scheme of the thermal power unit is obtained.The experimental results show that:in the whole experimental cycle,after the application of this method,in each period,the required power generation cost is always less than 2500 Yuan,the CO_(2)emission is always less than 630 kg/h,and the maximum value of renewable energy utilization can reach 87.5%,indicating that this method effectively reduces the power generation cost and emissions,improves the renewable energy utilization,and realizes the dual optimization of energy conservation and emission reduction.
作者 姚琪 苏川 杨玉静 张浩然 纳燕钊 YAO Qi;SU Chuan;YANG Yujing;ZHANG Haoran;NA Yanzhao(Wuzhong Power Supply Company of State Grid Ningxia Electric Power Co.,Ltd.,Wuzhong 751100,Ningxia,China)
出处 《电网与清洁能源》 CSCD 北大核心 2024年第8期134-140,共7页 Power System and Clean Energy
基金 国家电网有限公司科技项目(SGGSPX00HLWJS2200097) 国网宁夏吴忠供电公司2021年群众性创新项目(5229WZ21000Q)。
关键词 发电成本 电网调度 减排收益 有功平衡约束 启停时间 碳排放 power generation cost power grid dispatching emission reduction benefits active power balance constraint start and stop time carbon emissions
作者简介 姚琪(1986—),男,硕士,高级工程师,研究方向为电网规划与经济调度、新能源并网仿真等;苏川(1987—),男,本科,工程师,研究方向为智能电网发展、配电网规划设计;杨玉静(1988—),女,本科,工程师,研究方向为配电网规划与可靠性;张浩然(1989—),男,本科,工程师,研究方向为电网规划系统仿真、调度算法等;纳燕钊(1993—),女,本科,工程师,研究方向为电网规划设计、配电网调度运行等。
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