文章摘要
赵冬梅,夏轩,陶然.含电转气的热电联产微网电/热综合储能优化配置[J].电力系统自动化,2019,43(17):46-54. DOI: 10.7500/AEPS20190126001.
ZHAO Dongmei,XIA Xuan,TAO Ran.Optimal Configuration of Electric/Thermal Integrated Energy Storage for Combined Heat and Power Microgrid with Power to Gas[J].Automation of Electric Power Systems,2019,43(17):46-54. DOI: 10.7500/AEPS20190126001.
含电转气的热电联产微网电/热综合储能优化配置
Optimal Configuration of Electric/Thermal Integrated Energy Storage for Combined Heat and Power Microgrid with Power to Gas
DOI:10.7500/AEPS20190126001
关键词: 电转气  热电联产  电能替代  储能配置  双层优化
KeyWords: power to gas(P2G)  combined heat and power  electric energy substitution  energy storage configuration  bi-level optimization
上网日期:2019-07-12
基金项目:
作者单位E-mail
赵冬梅 华北电力大学电气与电子工程学院, 北京市 102206  
夏轩 华北电力大学电气与电子工程学院, 北京市 102206 ncepu_xiaxuan@163.com 
陶然 华北电力大学电气与电子工程学院, 北京市 102206  
摘要:
      电转气技术提升了多能源系统运行的灵活性,在此背景下,针对综合能源系统中电/热综合储能配置优化问题研究不足的现状,构建了包含电转气装置的热电联产微网电/热综合储能优化配置模型,提出包含电/热储能系统额定容量和功率的配置方法。首先考虑用户侧电能替代,建立随机“以电代热”负荷模型,并以此修正负荷曲线。其次针对成本、供能可靠性和新能源接纳率的多目标,并计及电储能寿命的折损,构建双层优化模型,外层为配置优化,内层为运行优化。基于内层模型的Karush-Kuhn-Tucker(KKT)条件将内层模型转化为外层模型的附加约束,将双层模型转化为单层模型,调用Gurobi求解器对模型进行求解。最后,算例验证了所提模型的正确性,并对比分析了电转气技术对储能系统优化配置的影响。
Abstract:
      The power to gas(P2G)technology has improved the operational flexibility of multi-energy system. In this background, the optimal configuration model of electric/thermal integrated energy storage for combined heat and power microgrid including P2G device is developed and the configuration methods of rated capacity and power for electric/thermal energy storage system are proposed, which is based on the fact that the research on the optimization of configuration for electric/thermal integrated energy storage in integrated energy systems is currently insufficient. Firstly, considering the electric energy substitution on the user side, the load curve is revised based on the random ‘replace heat with electricity' load model. Secondly, the bi-level optimization model is established considering the multi-objective of cost, power supply reliability and acceptance rate of new energy, while the loss of battery life is also considered. The outer layer is optimized for configuration, and the inner layer is optimized for operation. The inner model is transfered to the additional constraint of the outer model by the Karush-Kuhn-Tucker(KKT)approach of inner model, and the bi-level model is transformed into a single-level model, which is solved with Gurobi solver. Finally, the correctness of the proposed model is verified by an example, and the influence of the P2G technology on the optimal configuration of energy storage system is analyzed.
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