Internet of Things Benefits on Smart Grid

被引:0
作者
Zareifar, Abdolreza [1 ]
Zartabi, Hadi [1 ]
Ouraei, Zakaria [1 ]
机构
[1] Esfahan Prov Elect Distributor Co, Engn Dept, Esfahan, Iran
来源
2019 27TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2019) | 2019年
关键词
Internet of things(IoT); renewable energy; enrgy storage; hybrid optimization; smart grid; DISTRIBUTED GENERATION; DISTRIBUTION-SYSTEM; INTEGRATION; HOME;
D O I
10.1109/iraniancee.2019.8786678
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A quantitative analysis is presented here to evaluate the internet of things (IoT) benefits on smart grid operation criteria such as power loss, voltage profile, energy consumption pattern, and cost of purchasing electricity from upstream power system. A sensitivity analysis of growing IoT-based devices on the system operation is studied. Furthermore, the merits of utilizing smart IoT-based systems on traditional, renewable energy integrated, and distribution energy integrated system are compared to provide more understanding about smart distribution system operation under several penetration level of IoT-based devices. The proposed optimization model consists of a multi-objective cost function and corresponding technical constraints. The objective function includes the cost of energy loss, renewable energy generation cost, cost of purchasing electricity from upstream network and the payment for costumer participations in IoT program. The boundary conditions enforce DC power flow constraints, IoT-based device technical limits, generation unit capacities, and energy storage charge management conditions. A hybrid optimization is applied to the problem combining global exploration and local exploitation techniques. Particle swarm optimization (PSO) and mesh adaptive direct search (MADS) algorithm is applied as global and local optimization algorithm, respectively. The results show that the adoption of IoT technology can improve the smart grid operation.
引用
收藏
页码:725 / 730
页数:6
相关论文
共 18 条
[1]   Reliability assessment of distribution system with the integration of renewable distributed generation [J].
Adefarati, T. ;
Bansal, R. C. .
APPLIED ENERGY, 2017, 185 :158-171
[2]   Efficient solution of quadratically constrained quadratic subproblems within the mesh adaptive direct search algorithm [J].
Amaioua, Nadir ;
Audet, Charles ;
Conn, Andrew R. ;
Le Digabel, Sebastien .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2018, 268 (01) :13-24
[3]   Effects of environmental emissions on optimal combination and allocation of renewable and non-renewable CHP technologies in heat and electricity distribution networks based on improved particle swarm optimization algorithm [J].
Arandian, B. ;
Ardehali, M. M. .
ENERGY, 2017, 140 :466-480
[4]  
Bansal JC, 2019, STUD COMPUT INTELL, V779, P11, DOI 10.1007/978-3-319-91341-4_2
[5]   The Emerging Enernet [J].
Collier, Steven E. .
IEEE INDUSTRY APPLICATIONS MAGAZINE, 2017, 23 (02) :12-16
[6]   Value of Distribution Network Reconfiguration in Presence of Renewable Energy Resources [J].
Dorostkar-Ghamsari, Mohammad Reza ;
Fotuhi-Firuzabad, Mahmud ;
Lehtonen, Matti ;
Safdarian, Amir .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (03) :1879-1888
[7]   Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques [J].
Ehsan, Ali ;
Yang, Qiang .
APPLIED ENERGY, 2018, 210 :44-59
[8]  
Ji Haoran, 2018, IEEE T SUSTAINABLE E
[9]   Smart operations of smart grids integrated with distributed generation: A review [J].
Kakran, Sandeep ;
Chanana, Saurabh .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 81 :524-535
[10]   Evaluation and sensitivity analysis for economical operation of active distribution network [J].
Ma, Liye ;
Zhu, Tao ;
Gao, Huifang ;
Lu, Zhigang ;
Qi, Jintao .
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2018, 13 (05) :715-724