计及PEV聚合器的含可再生能源电力系统AGC调节功率的协调调度

侯贸军; 罗春辉; 武学伟; 刘月贤; 马春艳

引用本文:	侯贸军,罗春辉,武学伟,等.计及PEV聚合器的含可再生能源电力系统AGC调节功率的协调调度[J].电力系统保护与控制,2018,46(1):63-70.
	HOU Maojun,LUO Chunhui,WU Xuewei,et al.Coordinated dispatching of AGC regulation power considering PEV aggregator in power system with large-scale renewable energy sources[J].Power System Protection and Control,2018,46(1):63-70

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计及PEV聚合器的含可再生能源电力系统AGC调节功率的协调调度
侯贸军^1,2,罗春辉³,武学伟⁴,刘月贤⁵,马春艳¹
(1.湖北汽车工业学院电气与信息工程学院，湖北十堰 442002;2.西南交通大学电气工程学院，四川成都 610031; 3.湖南大学电气与信息工程学院，湖南长沙 410082;4.国网兰州供电公司, 甘肃兰州 730070; 5.国网成都供电公司，四川成都 610031)

摘要:

随着可再生能源的大规模并网，其间歇和随机特性给电力系统的频率稳定和控制带来巨大挑战。基于现有自动发电控制框架，根据常规发电机组和插电式电动车(PEVs)的互补特性，提出了一个基于模型预测控制(MPC)的优化控制框架。MPC负荷分配器根据常规发电机组和PEVs不同时间尺度的动态和AGC执行周期，在满足调节功率和电能约束的条件下，协调控制来自常规发电机组和PEVs的调节功率，使ACE跟踪误差和调节成本最小。仿真结果证明，提出的方法能够实现AGC性能的改善和调节成本的节约。

关键词: 可再生能源自动发电控制 PEVs 聚合器协调控制

DOI：10.7667/PSPC162069

分类号:

基金项目:国家自然科学基金项目(50937002)

Coordinated dispatching of AGC regulation power considering PEV aggregator in power system with large-scale renewable energy sources

HOU Maojun^1,2,LUO Chunhui³,WU Xuewei⁴,LIU Yuexian⁵,MA Chunyan¹

(1. School of Electrical and Information Engineering, Hubei University of Automotive Technology, Shiyan 442002, China;2. School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;3. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;4. State Grid Lanzhou Power Supply Company, Lanzhou 730070, China;5. State Grid Chengdu Power Supply Company, Chengdu 610031, China)

Abstract:

With the large-scale interconnection of Renewable Energy Sources (RESs), their intermittent and stochastic characteristics bring great challenges to the frequency stability and control of the power system. Based on the existing automatic generation control framework, an optimal control framework based on model predictive control (MPC) is proposed according to the complementary characteristics of conventional generators and plug-in electric vehicles (PEVs). The MPC load distributor can control the regulation power from conventional generator sets and PEVs according to the dynamic and AGC execution cycles of conventional generator sets and the PEVs at different time scales, so that the ACE tracking error and the adjustment cost can be minimized by meeting regulation power and power constraints. Simulation results show that the proposed method can achieve AGC performance improvement and cost saving. This work is supported by National Natural Science Foundation of China (No. 50937002).

Key words: renewable energy sources AGC PEVs aggregator coordinated control

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