微电网多目标鲁棒优化运行
|
摘要
解决微电网中新能源出力存在的随机性与波动性是微电网优化运行的前提和关键。文中将鲁棒优化理论引入到微电网的运行优化中,以运行成本和环境成本为目标构建了含有风力发电、微型燃气轮机、配电网和蓄电池的微电网多目标鲁棒优化模型,并采用基于自然选择粒子群算法对模型进行求解。仿真结果表明,与传统确定性优化相比,鲁棒优化虽然牺牲了经济性,但换取微电网运行的可靠性,平衡了成本与风险的关系;同时多目标优化平衡了微电网的经济性和环保性,为微电网的优化运行提供了参考。
Solving the randomness and volatility of the new energy output in the microgrid is the premise and key to the optimal operation of the microgrid. In this paper, the robust optimization theory was introduced into the operation optimization of microgrid, and the multi-objective robust optimization model of microgrid with wind power generation, micro gas turbine, distribution network and battery was constructed with the aim of running cost and environmental cost. The natural selection particle swarm optimization algorithm was performed to solve the proposed model. The simulation results showed that compared with the traditional deterministic optimization, the robust optimization sacrificed the economical, but the reliability of the microgrid operation was balanced, and the relationship between cost and risk was balanced. At the same time, multi-objective optimization balanced the economic and environmental protection of the microgrid, providing a reference for the optimal operation of the microgrid.
Solving the randomness and volatility of the new energy output in the microgrid is the premise and key to the optimal operation of the microgrid. In this paper, the robust optimization theory was introduced into the operation optimization of microgrid, and the multi-objective robust optimization model of microgrid with wind power generation, micro gas turbine, distribution network and battery was constructed with the aim of running cost and environmental cost. The natural selection particle swarm optimization algorithm was performed to solve the proposed model. The simulation results showed that compared with the traditional deterministic optimization, the robust optimization sacrificed the economical, but the reliability of the microgrid operation was balanced, and the relationship between cost and risk was balanced. At the same time, multi-objective optimization balanced the economic and environmental protection of the microgrid, providing a reference for the optimal operation of the microgrid.
引文
[1] 王成山,武震,李鹏.微电网关键技术研究[J].电工技术学报,2014,29(2):1-9. Wang Chengshan,Wu Zhen,Li Peng.Research on key technologies of microgrid[J].Transactions of China Electronical Society,2014,29(2):1-12.
[2] 艾淑云,毋炳鑫,谢卫华,等.基于 VLD 设计的微电网模式切换研究[J]. 电子科技,2014, 27(9):160-163. Ai Shuyun,Wu Bingxin,Xie Weihua,et al.Research on mode switching of microgrid based on VLD design[J]. Electronic Science and Technology,2014,27(9):160-163.
[3] Ma T,Wu J,Hao L.Energy flow modeling and optimal operation analysis of the micro energy grid based on energy hub[J].Energy Conversion & Management,2017,133(5):292-306.
[4] 彭春华,谢鹏,詹骥文,等.基于改进细菌觅食算法的微网鲁棒经济调度[J].电网技术,2014,38(9):2392-2398. Peng Chunhua,Xie Peng,Zhan Jiwen.Robust economic dispatch of microgrid using improved bacterial foraging algorithm[J].Power System Technology,2014, 38(9):2392-2398.
[5] 向月,刘俊勇,魏震波,等.考虑可再生能源出力不确定性的微电网能量优化鲁棒模型[J].中国电机工程学报, 2014, 34(19):3063-3072. Xiang Yue, Liu Junyong,Wei Zhenbo.Robust model of microgrid energy optimization with uncertain renewable energy sources[J].Proceedings of the CSEE, 2014,34(19):3063-3072.
[6] 王松岩,李碧君,于继来,等.风速与风电功率预测误差概率分布的时变特性分析[J].电网技术,2013,37(4):967-973. Wang Songyan,Li Bijun,Yu Jilai,et al.Analysis on time-varying characteristics of probability error in forecast of wind speed and wind power[J].Power System Technology,2013,37(4):967-973.
[7] 李群,张刘冬,殷明慧,等.基于模糊决策方法的含风电场电力系统机组组合[J].电网技术,2013,37(9):2480-2485. Li Qun,Zhang Liudong,Yin Minghui,et al.Fuzzy decision-making based unit commitment of power grid integrated with wind farms[J].Power System Technology,2013,37(9):2480-2485.
[8] 徐鹏坤,单晓晨.基于光伏源的微电网孤岛/联网平滑切换控制[J].电子科技,2018,31(3):67-71. Xu Pengkun,Shan Xiaochen.A research on smooth switching between island and grid-connected operation mode based on micogrid with photovoltaic generations [J].Electronic Science and Technology,2018,31(3):67-71.
[9] 黄宇丹,曾国辉,鲁敦科,等.基于数据中心功率特性的微电网稳压效果研究[J].电子科技,2017,30(10):100-103. Huang Yudan,Zeng Guohui,Lu Dunke,et al.Voltage stabilization in micro grid based on flexible characteristic of data center power[J].Electronic Science and Technology,2017,30(10):100-103.
[10] 符杨,陈铤,李振坤,等.考虑弃风限制的电网鲁棒安全经济调度[J].中国电机工程学报,2017,37(S1):47-54. Fu Yang,Chen Ting,Li Zhenkun,et al.Robust security economic dispatch considering wind power curtailment [J].Proceedings of the CSEE,2017,37(S1):47-54.
[11] 陈深,肖俊阳,黄玉程,等.基于改进量子粒子群算法的微网多目标优化调度[J].电力科学与技术学报, 2015(2):41-47. Chen Shen,Xiao Junyang,Huang Yucheng,et al. Multi-objective optimal dispatching of micro-grid with improved quantum-behaved particle swarm algorithm[J]. Journal of Electric Power Science and Technology, 2015(2):41-47.
[12] 刘荣荣,张靠社,张刚,等.基于自适应人工鱼群算法的微电网优化运行[J].电网与清洁能源,2017(4):71-76. Liu Rongrong,Zhang Kaoshe,Zhang Gang.Micro grid optimal operation based on adaptive artificial fish algorithm[J].Power System and Clean Energy, 2017(4):71-76.
[13] 宫娅宁,苏舒,林湘宁,等.独立光伏发电储能系统能量管理与经济调度研究[J].电力科学与技术学报,2017, 32(2):3-9. Gong Yaning,Su Shu,Lin Xiangning,et al.Study on energy management and economic dispatch of stand-alone photovoltaic generation system with hybrid energy storage[J].Journal of Electric Power Science and Technology,2017,32(2):3-9.
[14] 李勇,王建君,曹丽华.考虑电网调度实时性要求的机组负荷优化分配[J].中国电机工程学报,2011,31(32):122-128. Li Yong,Wang Jianjun,Cao Lihua.Optimal load dispatch of units considering the real-time demand of power network dispatching[J].Proceedings of the CSEE, 2011,31(32):122-128.
[15] 侯磊,赵鸣.基于相似度粒子群算法的微电网孤网优化运行分析[J].陕西电力,2017,45(6):24-29. Hou Lei,Zhao Ming.Optimal operation analysis of isolated microgrid based on similarity particle swarm optimization algorithm[J].Shaanxi Electric Power,2017,45 (6):24-29.
[16] 吴云亮,肖峥,沈阳武,等.微电网并网模式下的协调经济调度策略控制[J].陕西电力,2016,44(8): 6-11. Wu Yunliang,Xiao Zheng,Shen Yangwu,et al.Coordinated economic dispatch strategy under microgrid connected mode[J].Shaanxi Electric Power,2016,44(8):6-11.
[2] 艾淑云,毋炳鑫,谢卫华,等.基于 VLD 设计的微电网模式切换研究[J]. 电子科技,2014, 27(9):160-163. Ai Shuyun,Wu Bingxin,Xie Weihua,et al.Research on mode switching of microgrid based on VLD design[J]. Electronic Science and Technology,2014,27(9):160-163.
[3] Ma T,Wu J,Hao L.Energy flow modeling and optimal operation analysis of the micro energy grid based on energy hub[J].Energy Conversion & Management,2017,133(5):292-306.
[4] 彭春华,谢鹏,詹骥文,等.基于改进细菌觅食算法的微网鲁棒经济调度[J].电网技术,2014,38(9):2392-2398. Peng Chunhua,Xie Peng,Zhan Jiwen.Robust economic dispatch of microgrid using improved bacterial foraging algorithm[J].Power System Technology,2014, 38(9):2392-2398.
[5] 向月,刘俊勇,魏震波,等.考虑可再生能源出力不确定性的微电网能量优化鲁棒模型[J].中国电机工程学报, 2014, 34(19):3063-3072. Xiang Yue, Liu Junyong,Wei Zhenbo.Robust model of microgrid energy optimization with uncertain renewable energy sources[J].Proceedings of the CSEE, 2014,34(19):3063-3072.
[6] 王松岩,李碧君,于继来,等.风速与风电功率预测误差概率分布的时变特性分析[J].电网技术,2013,37(4):967-973. Wang Songyan,Li Bijun,Yu Jilai,et al.Analysis on time-varying characteristics of probability error in forecast of wind speed and wind power[J].Power System Technology,2013,37(4):967-973.
[7] 李群,张刘冬,殷明慧,等.基于模糊决策方法的含风电场电力系统机组组合[J].电网技术,2013,37(9):2480-2485. Li Qun,Zhang Liudong,Yin Minghui,et al.Fuzzy decision-making based unit commitment of power grid integrated with wind farms[J].Power System Technology,2013,37(9):2480-2485.
[8] 徐鹏坤,单晓晨.基于光伏源的微电网孤岛/联网平滑切换控制[J].电子科技,2018,31(3):67-71. Xu Pengkun,Shan Xiaochen.A research on smooth switching between island and grid-connected operation mode based on micogrid with photovoltaic generations [J].Electronic Science and Technology,2018,31(3):67-71.
[9] 黄宇丹,曾国辉,鲁敦科,等.基于数据中心功率特性的微电网稳压效果研究[J].电子科技,2017,30(10):100-103. Huang Yudan,Zeng Guohui,Lu Dunke,et al.Voltage stabilization in micro grid based on flexible characteristic of data center power[J].Electronic Science and Technology,2017,30(10):100-103.
[10] 符杨,陈铤,李振坤,等.考虑弃风限制的电网鲁棒安全经济调度[J].中国电机工程学报,2017,37(S1):47-54. Fu Yang,Chen Ting,Li Zhenkun,et al.Robust security economic dispatch considering wind power curtailment [J].Proceedings of the CSEE,2017,37(S1):47-54.
[11] 陈深,肖俊阳,黄玉程,等.基于改进量子粒子群算法的微网多目标优化调度[J].电力科学与技术学报, 2015(2):41-47. Chen Shen,Xiao Junyang,Huang Yucheng,et al. Multi-objective optimal dispatching of micro-grid with improved quantum-behaved particle swarm algorithm[J]. Journal of Electric Power Science and Technology, 2015(2):41-47.
[12] 刘荣荣,张靠社,张刚,等.基于自适应人工鱼群算法的微电网优化运行[J].电网与清洁能源,2017(4):71-76. Liu Rongrong,Zhang Kaoshe,Zhang Gang.Micro grid optimal operation based on adaptive artificial fish algorithm[J].Power System and Clean Energy, 2017(4):71-76.
[13] 宫娅宁,苏舒,林湘宁,等.独立光伏发电储能系统能量管理与经济调度研究[J].电力科学与技术学报,2017, 32(2):3-9. Gong Yaning,Su Shu,Lin Xiangning,et al.Study on energy management and economic dispatch of stand-alone photovoltaic generation system with hybrid energy storage[J].Journal of Electric Power Science and Technology,2017,32(2):3-9.
[14] 李勇,王建君,曹丽华.考虑电网调度实时性要求的机组负荷优化分配[J].中国电机工程学报,2011,31(32):122-128. Li Yong,Wang Jianjun,Cao Lihua.Optimal load dispatch of units considering the real-time demand of power network dispatching[J].Proceedings of the CSEE, 2011,31(32):122-128.
[15] 侯磊,赵鸣.基于相似度粒子群算法的微电网孤网优化运行分析[J].陕西电力,2017,45(6):24-29. Hou Lei,Zhao Ming.Optimal operation analysis of isolated microgrid based on similarity particle swarm optimization algorithm[J].Shaanxi Electric Power,2017,45 (6):24-29.
[16] 吴云亮,肖峥,沈阳武,等.微电网并网模式下的协调经济调度策略控制[J].陕西电力,2016,44(8): 6-11. Wu Yunliang,Xiao Zheng,Shen Yangwu,et al.Coordinated economic dispatch strategy under microgrid connected mode[J].Shaanxi Electric Power,2016,44(8):6-11.