Cognitive Radio Network for the Smart Grid Experimental

Cognitive Radio Network for the Smart Grid: Experimental System Architecture, Control, Algorithm, Security and Microgrid Testbed Yujie Tang Supervisor: Professor J. W. Mark March 1 st, 2012

Outline 1. Introduction 2. Communication testbeds for Smart Grid 3. Host computer with graphics processing 4. Microgrid testbeds for Smart Grid 5. Conclusion

Outline 1. Introduction 2. Communication testbeds for Smart Grid 3. Host computer with graphics processing 4. Microgrid testbeds for Smart Grid 5. Conclusion

Introduction n Smart Grid: In a nutshell, smart grid amounts to providing an Internet Protocol (IP) address to every device that is connected to the electricity grid. n Advantages of smart grid: n n Reducing blackouts Promoting renewable energy usage Give families more control over their energy diet Secure Communications in Smart Grid n n Physical layer and cybersecurity Latency for time-sensitive data (CR)

Introduction n Related work n n Using Cognitive Radio in the Smart Grid in [1]-[3] Building a Cognitive Radio network testbed at TTU, [4]: the overall picture of this project [1]. R. Qiu, “A cognitive radio network testbed, ” Proposal to Office of Naval Research (ONR), Sep. 2010, currently funded. [2]. R. C. Qiu, “Cognitive radio and smart grid, ” presented at the IEEE Chapter, Huntsville, AL, Feb. 18, 2010 [Online]. Available: http: //iweb. tntech. edu/rqiu/publications. htm [3]. R. C. Qiu, “Smart grid research at TTU, ” Argonne National Laboratory, Feb. 2010 [Online]. Available: http: //iweb. tntech. edu/rqiu/publications. htm [4]. R. C. Qiu, Z. Chen, N. Guo, Y. Song, P. Zhang, H. Li, and L. Lai, “Towards a realtime cognitive radio network testbed: architecture, hardware platform, and application to smart grid, ” in Proc. 5 th IEEE Workshop Netw. Technol. Software-Defined Radio White Space, Jun. 2010.

Introduction n Main Contributions n n The application of Cognitive Radio to the Smart Grid being addressed systemically Applying a complex independent component analysis (ICA) technique, in combination with robust principle component analysis (PCA) algorithm Microgrid testbed: include various distributed energy resources, different power loads or appliances and control modules Layered and hybrid control strategy

Outline 1. Introduction 2. Communication testbeds for Smart Grid 3. Host computer with graphics processing 4. Microgrid testbeds for Smart Grid 5. Conclusion

Communication testbed for SG n Hardware platforms for CRN n Virginia Tech developed a testbed for CRN with 48 nodes. n n Each node consists of an Intel Xeon processor-based high-performance sever, a USRP 2 and a custom developed radiofrequency (RF) daughterboard It is not a low-power processing platform It is not capable of mobility Four kinds of hardware platforms

Communication testbed for SG 1. Universal Software Radio Peripheral 2 (USRP 2) n n n Consists of a motherboard and one or more selectable RF daughterboard Works with GNU radio Has random response delay and needs multicore CPU

Communication testbed for SG 2. Small Form Factor Software Defined Radio Development Platform (SFF SDR DP) n n n Digital processing module, data conversion module and RF module Moved easily and full-duplex communications Not easy to update and response time delay

Communication testbed for SG 3. Wireless Open-Access Research Platform Development Platform (WARP) n n n An FPGA (Xilinx Virtex-4 FX 100 FPGA) board and one to four radio boards A SFF independent hardware platform, physical and MAC Can not implement full-duplex communications

Communication testbed for SG 4. Microsoft Research Software Radio (Sora Platform) n n n A radio control board (RBC) and a selectable RF board, works with a multicore host computer A high-throughput interface Speedup trick is not easy, full-duplex is challenging and lacks mobility

Communication testbed for SG n Proposed Testbed for CRN and SG n Performing time-critical tasks in the FPGA and split MAC design with host and FPGA implementations n n Ample power and upgradable Minimum response time delay Full-duplex communications Proposed motherboard, functional architecture and network testbeds

Communication testbed for SG n Mortherboard for Hardware Platforms

Communication testbed for SG Functional architecture for the nodes n Network testbed n

Communication testbed for SG n Security of the network testbed n The data sent out by the nodes should be encrypted, to prevent unauthorized users from intercepting the data over the air (cryptographic algorithms) n The reconfigurable FPGAs in the network testbed should have the capability of protecting themselves from being invaded or tampered (an open question)

Outline 1. Introduction 2. Communication testbeds for Smart Grid 3. Host computer with graphics processing 4. Microgrid testbeds for Smart Grid 5. Conclusion

Host computer with GPU GPGPU: the various cores of a graphics processor unit (GPU) can be utilized for general purpose parallel computing n CUDA: both a hardware and software architecture by Nvidia n n Allows GPUs to run programs written by C, C++, Fortran, etc CULA is a linear algebra library which utilize to Nvidia CUDA architecture for computational acceleration CULA offers more functions than GPUmat

Outline 1. Introduction 2. Communication testbeds for Smart Grid 3. Host computer with graphics processing 4. Microgrid testbeds for Smart Grid 5. Conclusion

Microgrid testbeds for SG n Microgrid: a localized grouping of electrical sources and loads n n Contains distributed generators or distributed energy sources Increase the local reliability, reduce the power loss, maintain the local power voltage and enhance power utilization and efficiency n Microgrid testbeds n Integrated renewable or distributed energy sources, less exchange of power n Intelligent communications and efficiency power dispatch n Battery and inverter technology, such as plug-in vehicles and energy storage

Smart houses, microgrid central controller, main electrical power grid, one common energy storage and common secondary power sources n Controller together with smart meters: operation, maintenance, administration and provisioning of microgrid n Action theory can be explored in the microgrid central controller to determine the trading price and the trading quantity of energy n Fig. Microgrid testbeds for SG

Microgrid testbeds for SG n Control strategy n n n Layered and hybrid Different subproblems solved by different functions (different control layer and different control modules) Requirement: loading balancing, electrical generation, the limitation and efficiency of storage The function of knowledge representation and reasoning (means the representaion of knowledge in a manner that helps in inferencing from knowledge) n A presentation of related knowledge n A cognition loop using artificial intelligence Heuristic algorithm for the distributed control or noncooperative control Game theory in a complex system

Microgrid testbeds for SG n Take one control problem in the single smart house as an example Fig. The total cost affected by the capacity of energy storage

Microgrid testbeds for SG n Security consideration n For information flow– date confidentiality, data authenticity, data integrity, data freshness, data privacy, public key infrastructure, trusted computing , attack detection, attack survivability, intelligent monitoring, cybersecurity, and so on For energy flow– autonomous recovery is the main security consideration Deal with the optimization issue with uncertainty n Robust optimization: the performance is stable with the bounded errors n Stochastic optimization: guarantee the performance in average for the uncertainty information

Microgrid testbeds for SG n Kernel GLRT for malicious data attack [5] Y. Liu, M. K. Reiter, and P. Ning, “False data injection attacks against state estimation in electric power grids, ” in Proc. 16 th Conf. Comput. Commun. Security, 2009, pp. 21– 32. [6] O. Kosut, L. Jia, R. J. Thomas, and L. Tong, “On malicious data attacks on power system state estimation, ” in Proc. Universities Power Eng. Conf. (UPEC), 2010, pp. 1– 6. [7] O. Kosut, L. Jia, R. Thomas, and L. Tong, “Malicious data attacks on smart grid state estimation: Attack strategies and countermeasures, ” in Proc. 1 st IEEE Int. Conf. Smart Grid Commun. , Gaithersburg, MD, Oct. 2010, pp. 220– 225. n ICA for recovery of smart meter transmission in the presence of strong interference

Outline 1. Introduction 2. Communication testbeds for Smart Grid 3. Host computer with graphics processing 4. Microgrid testbeds for Smart Grid 5. Conclusion

Conclusion n The big picture is to sense, communicate, compute and control n This paper is the first to systematically investigate the new idea of using the next generation wireless technology, cognitive radio network, for the SG n System architecture, algorithms and hardware testbed are studied in detail n A microgrid testbed is proposed n Control strategies and security considerations are discussed

Thank you! Q&A