Cooperative MPC-Based Energy Management for Networked Microgrids
Cooperative MPC-Based Energy Management for Networked Microgrids
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DOI：
10.1109/tsg.2017.2726941
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发表时间：
2017-08
影响因子：
9.6
通讯作者：
A. Parisio;C. Wiezorek;Timo Kyntäjä;Joonas Elo;K. Strunz;K. Johansson
中科院分区：
文献类型：
--
作者：
A. Parisio;C. Wiezorek;Timo Kyntäjä;Joonas Elo;K. Strunz;K. Johansson
微电网是配电网的子系统，作为单个可控系统与电网相连或隔离运行。针对多个微电网共享一定的分布式能源(DER)，提出了一种新的城市区域协同模型预测控制(MPC)框架。微电网的运行与共享的DER一起被协调，使得可用的灵活性资源被优化，并且实现共同的目标，例如最小化与配电网交换的能量和总的能源成本。每个微电网都配备了一个基于MPC的能源管理系统，负责根据最终用户偏好、天气相关的发电和需求预测、能源价格以及技术和运营限制，优化控制灵活的负荷、供暖系统和本地发电设备。所提出的协调算法是分布式的，保证了约束满足、微网之间的协作和共享资源的公平使用，同时解决了城市地区能源管理的可扩展性问题。此外，所提出的框架保证了每个微电网的商定的成本节约。所描述的方法在集成了精确的微电网模拟器的虚拟测试环境中被实现和评估。数值实验表明了该方法的可行性、计算效益和有效性。
Microgrids are subsystems of the distribution grid operating as a single controllable system either connected or isolated from the grid. In this paper, a novel cooperative model predictive control (MPC) framework is proposed for urban districts comprising multiple microgrids sharing certain distributed energy resources (DERs). The operation of the microgrids, along with the shared DER, are coordinated such that the available flexibility sources are optimised and a common goal is achieved, e.g., minimizing energy exchanged with the distribution grid and the overall energy costs. Each microgrid is equipped with an MPC-based energy management system, responsible for optimally controlling flexible loads, heating systems, and local generation devices based on end-user preferences, weather-dependent generation and demand forecasts, energy prices, and technical and operational constraints. The proposed coordination algorithm is distributed and guarantees constraints satisfaction, cooperation among microgrids and fairness in the use of the shared resources, while addressing the issue of scalability of energy management in an urban district. Furthermore, the proposed framework guarantees an agreed cost saving to each microgrid. The described method is implemented and evaluated in a virtual testing environment that integrates accurate simulators of the microgrids. Numerical experiments show the feasibility, the computational benefits, and the effectiveness of the proposed approach.