| 引用本文: | 吕齐,李明轩,魏韡,陈来军,梅生伟.基于参数规划的含储能和风电电力系统低碳经济调度[J].电力自动化设备,2023,43(7):12-18，43 |
| Lü Qi,LI Mingxuan,WEI Wei,CHEN Laijun,MEI Shengwei.Low carbon economic dispatch of power system with energy storage and wind power based on parametric programming[J].Electric Power Automation Equipment,2023,43(7):12-18，43 |
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| 摘要: |
| 为了实现“双碳”目标以及适应新能源快速发展的形势，基于参数规划及工程博弈论提出了一种含储能和风电电力系统的多目标低碳经济调度方法。以系统发电成本、碳排放量、储能寿命折损为目标构建多目标优化模型，采用系数约束法将模型转化为参数线性规划模型，求解参数规划模型可获得Pareto前沿的精确解析表达式，从而进一步构建工程博弈问题，精炼得到对多目标具有公平性的唯一Pareto最优解，为决策者提供参考。算例分析结果表明，所提调度方法能够充分兼顾各目标的优化程度，保证电力系统调度的环保性与经济性，可有效应用于新能源电力系统的低碳经济调度。 |
| 关键词: 电力系统 储能 风电 碳排放 经济调度 多目标优化 参数规划 工程博弈论 |
| DOI：10.16081/j.epae.202204044 |
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| Low carbon economic dispatch of power system with energy storage and wind power based on parametric programming |
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Lü Qi1, LI Mingxuan1, WEI Wei1, CHEN Laijun1,2, MEI Shengwei1
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1.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;2.New Energy(Photovoltaic) Industry Research Center, Qinghai University, Xining 810016, China
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| Abstract: |
| In order to achieve the “dual-carbon” goal and adapt to the rapid development of new energy, a multi-objective low carbon economic dispatch method of power system with energy storage and wind power is proposed based on parametric programming and engineering game theory. The multi-objective optimization model is constructed with the system power generation cost, the carbon emission and the energy storage lifetime loss as the goals. The model is transformed into a parametric linear programming model by using the coefficient constraint method, and the exact analytic expression of Pareto frontier can be obtained by solving the parametric programming model, so as to further construct the engineering game problem and refine the unique Pareto optimal solution that is fair to multiple objectives, providing reference for decision makers. The example analysis results show that the proposed dispatch method can fully take into account the optimization degree of each objective, ensure the environmental protection and economy of power system dispatch, and can be effectively applied to the low carbon economic dispatch of power system with new energy. |
| Key words: electric power systems energy storage wind power carbon emission economic dispatch multi-objective optimization parametric programming engineering game theory |
