微电网多目标随机动态优化调度算法  被引量:22

Multi-Objective Stochastic Dynamic Optimal Dispatch Algorithm of Microgrid

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作  者:王雅平[1] 林舜江[1] 杨智斌[1] 孙兴鲁 刘明波[1] Wang Yaping;Lin Shunjiang;Yang Zhibin;Sun Xinglu;Liu Mingbo(School of Electric Power Engineering South China University of Technology Guangzhou 510640 China)

机构地区:[1]华南理工大学电力学院,广州510640

出  处:《电工技术学报》2018年第10期2196-2207,共12页Transactions of China Electrotechnical Society

基  金:国家重点基础研究发展计划(973计划)(2013CB228205);广东省自然科学基金(2015A030313233)资助项目

摘  要:针对含风光发电和储能电池的微电网多目标随机动态优化调度问题,建立以微电源总运行费用和系统总网损为目标函数,同时以多个蓄电池剩余电量的和作为资源存储量的微电网多目标随机型存储模型。模型中采用交流潮流模型准确描述配电线路的传输功率安全约束,并考虑了各种分布式电源的电压无功特性。结合自适应加权和法(AWS)和近似动态规划法(ADP)求解多目标随机动态优化调度问题,先采用AWS法将多目标随机动态优化模型转化为一系列单目标随机动态优化模型,再采用ADP的近似值函数迭代算法实现对单目标随机动态优化模型的逐时段递推解耦求解,并通过对AWS法中分割段新增Pareto点对应权值的调整以得到均匀分布的Pareto前沿。通过某一实际微电网的算例仿真,证明了所提出模型与算法的正确性和有效性。To solve the multi-objective stochastic dynamic optimal dispatch problem of microgrid with wind, solar and storage battery, a multi-objective stochastic storage model is established. In this model, the micro-source total operation cost and total network loss are taken as the objective functions, and the sum of the remaining battery energy is taken as the storage level of the system. The AC power flow model is used to accurately describe the security constraints of transmitting power in distribution lines, and the voltage and reactive power characteristics of different distributed generations are also taken into account. Adaptive weighted sum(AWS) algorithm and approximate dynamic programming(ADP) algorithm are combined to solve the model. Firstly, the multi-objective stochastic dynamic optimal model is transformed into a series of single objective stochastic dynamic optimal models by AWS algorithm. Secondly, approximation value function iteration in ADP algorithm is used to solve each single objective stochastic dynamic optimal model with solving the model of each period successively. Finally, through the adjustment of the weight values corresponding to new added Pareto points of each division section in AWS algorithm, a series of evenly distributed Pareto optimal solution sets are obtained. Test results on a real microgrid system demonstrate that the proposed model and algorithm are correct and efficient.

关 键 词:微电网调度 随机优化 多目标优化 近似动态规划 自适应加权和法 

分 类 号:TM72[电气工程—电力系统及自动化]

 

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