含风光储能源-储-荷规划与运行调控策略

葛维春; 滕健伊; 潘超; 王顺江; 高凯

引用本文:	葛维春,滕健伊,潘超,等.含风光储能源-储-荷规划与运行调控策略[J].电力系统保护与控制,2019,47(13):46-53.
	GE Weichun,TENG Jianyi,PAN Chao,et al.Operation regulation strategy of source-storage-load with wind energy storage energy[J].Power System Protection and Control,2019,47(13):46-53

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含风光储能源-储-荷规划与运行调控策略
葛维春¹,滕健伊²,潘超²,王顺江¹,高凯¹
(1.国网辽宁省电力有限公司，辽宁沈阳 110004;2.东北电力大学电气工程学院，吉林吉林 132012)

摘要:

源-荷随机波动性及储能电池并网容量是影响分布式电源渗透率的主要原因。综合考虑稳定性、经济性及环保性因素，建立源-储-荷多目标优化模型。利用概率潮流模拟风光出力的不确定性，并采用基于拉丁超立方采样的蒙特卡罗方法进行计算。针对该模型的多目标多约束求解问题，采用改进花授粉算法进行优化。通过引入授粉加速度因子及遗传自适应因子改善其搜索效率及寻优能力。通过仿真得到源-储-荷多目标优化规划与运行调控策略，根据优化结果建立电压累计评价指标。结果验证了多目标数学模型及所提方法的正确性及可行性。

关键词: 分布式电源储能电池优化运行调控花授粉算法拉丁超立方

DOI：10.7667/PSPC20191307

分类号:

基金项目:国家自然科学基金资助项目(51377017);国网辽宁省电力有限公司科技项目(2018YF-21)

Operation regulation strategy of source-storage-load with wind energy storage energy

GE Weichun¹,TENG Jianyi²,PAN Chao²,WANG Shunjiang¹,GAO Kai¹

(1. State Grid Liaoning Province Electric Power Company, Shenyang 110004, China;2. School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

Abstract:

The permeability of distributed generations is mainly affected by source-load random volatility and grid-connected capacity of energy storage battery. A multi-objective optimal model which considers the technology, economy and environmental protection of source-storage-load is established. Probabilistic power flow is used to simulate the uncertainty of wind force, and the Monte Carlo method based on Latin hypercube sampling is used to calculate the uncertainty. In order to solve the multi-objective and multi-constraint problem of the model, the improved flower pollination algorithm is adopted to optimize the model. The efficiency and the ability of searching for optimization are improved by introducing the pollination acceleration factor and genetic adaptive factor. The multi-objective optimal planning and operation regulation strategy of source-storage-load is obtained by simulation. The accumulative evaluation index of voltage is established according to the optimal result. The results show that the multi-objective mathematical model and the proposed method are correct and feasible. This work is supported by National Natural Science Foundation of China (No. 51377017) and Science and Technology Project of State Grid Liaoning Electric Power Company Ltd. (No. 2018YF-21).

Key words: distributed generation energy storage battery optimal operation regulation flower pollination algorithm Latin hypercube sampling

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