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1.强电磁工程与新技术国家重点实验室(华中科技大学),湖北省武汉市 430074
2.中国南方电网电力调度控制中心,广东省广州市 510623
3.广东电网有限责任公司电力调度控制中心,广东省广州市 510600
马龙飞(1996—),男,硕士研究生,主要研究方向:电力系统规划与优化运行。E-mail:longfei3791@163.com
吴耀武(1963—),男,副教授,主要研究方向:电力系统规划与优化运行、电力技术经济与电力市场。E-mail:ywwu@hust.edu.cn
梁彦杰(1989—),男,工程师,主要研究方向:电力系统调度运行与控制。
娄素华(1974—),女,通信作者,教授,主要研究方向:电力系统规划与优化运行、新能源发电规划与电力技术经济。E-mail:shlou@hust.edu.cn
收稿日期:2019-11-01,
修回日期:2020-02-19,
网络出版日期:2020-05-09,
纸质出版日期:2020-06-10
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马龙飞,吴耀武,梁彦杰等.计及火电机组灵活性改造的电源扩展弱鲁棒规划[J].电力系统自动化,2020,44(11):102-110.
MA Longfei,WU Yaowu,LIANG Yanjie,et al.Light Robust Planning for Generation Expansion Considering Flexibility Reformation of Thermal Power Unit[J].Automation of Electric Power Systems,2020,44(11):102-110.
马龙飞,吴耀武,梁彦杰等.计及火电机组灵活性改造的电源扩展弱鲁棒规划[J].电力系统自动化,2020,44(11):102-110. DOI: 10.7500/AEPS20191101006.
MA Longfei,WU Yaowu,LIANG Yanjie,et al.Light Robust Planning for Generation Expansion Considering Flexibility Reformation of Thermal Power Unit[J].Automation of Electric Power Systems,2020,44(11):102-110. DOI: 10.7500/AEPS20191101006.
风电出力的不确定性给电力系统规划与优化运行带来较大挑战。对火电机组进行灵活性改造能有效提升电力系统的灵活性、促进风电的消纳。文中利用盒式约束与1-范数约束对不确定风电出力进行建模,考虑火电机组的灵活性改造技术优势和经济耗费,从电力系统价值整体提升的角度出发,建立了以投资费用与系统运行成本之和最小为优化目标的电源弱鲁棒优化规划模型。所提模型改善了传统鲁棒规划模型的保守度,提升了规划方案的经济性。以改进的IEEE-RTS24节点系统与区域电网实际系统对所提模型进行仿真分析,算例结果验证了所提模型的鲁棒性与经济性。
The uncertainty of wind power output brings great challenges to the planning and optimal operation of power system. The flexibility reformation of thermal power units can effectively improve the peak regulation capacity of the power system and promote the accommodation of wind power. The uncertain wind power output is modeled by box constraint and 1-norm constraint. By considering the technical advantages and economic cost of the flexibility reformation of thermal power units
from the perspective of the overall value of the power system
and based on the light robust optimization theory
a generation expansion planning model with the minimum sum of investment cost and system operation cost is established. The proposed model improves the conservative degree of the traditional robust planning model and improves the economy of the planning scheme. The improved model is analyzed in the improved IEEE-RTS24 node system and an actual system of a regional power grid. Results of the example verify the robustness and economy of the proposed model.
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