Electric Power ›› 2019, Vol. 52 ›› Issue (6): 94-103.DOI: 10.11930/j.issn.1004-9649.201904056
Previous Articles Next Articles
FENG Wei1, LU Hongyou1, Chris Marnay1, ZHANG Ning2, GUO Zun1,3
Received:
2019-04-12
Revised:
2019-05-24
Online:
2019-06-05
Published:
2019-07-02
CLC Number:
FENG Wei, LU Hongyou, Chris Marnay, ZHANG Ning, GUO Zun. Development of Distributed Energy Microgrid System in U.S.[J]. Electric Power, 2019, 52(6): 94-103.
[1] MICHAEL P. The American council of engineering companies, environment and energy committee winter meeting[EB/OL]. (2017-02-09)[2019-01-08]. https://www.woodardcurran.com/blog/2017-acec-environment——energy-committee-winter-meeting-highlights. [2] CIGRÉ Working Group C.22. Microgrids 1, Engineering, Economics, & Experience.[EB/OL]. (2015-10-20)[2019-01-08]. http://www.e-cigre.org/publication/635-microgrids-1-engineering-economics-experience. [3] USTUN T S, OZANSOY C, ZAYEGH A. Recent developments in microgrids and example cases around the world-a review[J]. Renewable and Sustainable Energy Reviews, 2011, 15(8):4030-4041. [4] 能源基金会. 分布式能源智能微网关键技术与发展[R/OL]. (2012-06-06)[2019-01-08]. http://www.efchina.org/Reports-zh/reports-20120606-zh. [5] MG deployment tracker 4Q17.[EB/OL]. Navigant Research, (2017-12-31)[2019-01-08]. https://www.navigantresearch.com/reports/microgrid-deployment-tracker-4q17. [6] HATZIARGYRIOU N, ASANO H, IRAVANI R, et al. Microgrids[J]. IEEE Power and Energy Management, 2007, 5(4):78-94. [7] HARTONO B S, BUDIYANTO Y, SETIABUDY R. Review of microgrid technology[C]//QiR (Quality in Research), 2013 International Conference on. IEEE, 2013. [8] U.S. Department of Energy. SPIDERS joint capability technology demonstration[EB/OL]. (2015-05-20)[2019-01-08]. https://energy.gov/eere/femp/downloads/smart-power-infrastructure-demonstration-energyreliability-and-security-spiders. [9] U.S. Department of Energy. Title XVⅡ supplement Ⅲ regarding distributed energy projects[EB/OL]. (2015-06-20)[2019-01-08]. https://energy.gov/sites/prod/files/2015/08/f26/DEP_Supplement_REEE_Solicitation_%20082415.pdf. [10] STEVE B. Renewable and distributed systems integration program[EB/OL]. (n.d.)[2019-01-08]. https://www.smartgrid.gov/recovery_act/overview/renewable_and_distributed_systems_integration_program.html. [11] MARNAY C, DEFOREST N, LAI J. A green prison:the Santa Rita jail campus microgrid[C]//2012 IEEE PES General Meeting. San Diego:IEEE, Jan. 22-26, 2012:1-2. [12] Sandia National Laboratory. Energy surety MicrogridsTM supporting renewable technologies and energy assurance[EB/OL]. (n.d.)[2019-01-08]. http://energy.sandia.gov/energy/ssrei/gridmod/integrated-researchand-development/esdm/. [13] LIU X, MARNAY C, FENG W, et al. A review of the ARRA smart grid projects and their implications for China[R]. America:LBNL, 2017. [14] TON D, REILLY J. Microgrid controller initiatives:An overview of R&D by the U.S. Department of Energy[J]. IEEE Power and Energy Magazine, 2017, 15(4):24-31. [15] DSIRE Database. Renewable portfolio standard policies[EB/OL]. (2017-02-20)[2019-01-08]. http://ncsolarcen-prod.s3.amazonaws.com/wp-content/uploads/2017/03/Renewable-Portfolio-Standards.pdf. [16] NY Prize. NY Prize feasibility studies[EB/OL]. (2017-10-20)[2019-01-08]. https://www.nyserda.ny.gov/All-programs/Programs/NY-Prize/Feasibility-Studies. [17] California Energy Commission. Demonstrate business case for advanced microgrids in support of California's Energy and GHG Policies[EB/OL]. (2017-10-26)[2019-01-08]. http://www.energy.ca.gov/contracts/GFO-17-302/. [18] VAN B A, GILLINGHAM K, SWEENEY J. Learning-by-doing and the optimal solar policy in California[J]. Journal of Energy, 2008, 29(3):131-151. [19] ITRON. Final report:SGIP 2014-2015 impact evaluation[R/OL]. (2016-11-04)[2019-01-08]. https://www.cpuc.ca.gov/General.aspx?id=7890. [20] VANDOORN T L, DE KOONING J D M, MEERSMAN B, et al. Review of primary control strategies for islanded microgrids with power-electronic interfaces[J]. Renewable and Sustainable Energy Reviews, 2013, 19:613-628. [21] GOUVEIA C, MOREIRA J, MOREIRA C L, et al. Coordinating storage and demand response for microgrid emergency operation[J]. IEEE Transactions on Smart Grid, 2013, 4(4):1898-1908. [22] PIPATTANASOMPORN M, FEROZE H, RAHMAN S. Multi-agent systems in a distributed smart grid:Design and implementation[C]//2009 IEEE/PES Power Systems Conference and Exposition. Seattle:IEEE, Mar. 15-18, 2009:1-8. [23] LU X, BAHRAMIRAD S, WANG J, et al. Bronzeville community microgrids:a reliable, resilient and sustainable solution for integrated energy management with distribution systems[J]. The Electricity Journal, 2015, 28(10):29-42. [24] ULUSKI R, KUMAR J, MANI VENKATA S S, et al. Microgrid controller design, implementation, and deployment:a journey from conception to implementation at the Philadelphia Navy Yard[J]. IEEE Power and Energy Magazine, 2017, 15(4):50-62. [25] MARNAY C, VENKATARAMANAN G, STADLER M, et al. Optimal technology selection and operation of commercial building microgrids[J]. IEEE Transactions on Power Systems, 2008, 23(3):975-982. [26] JIN M, FENG W, LIU P, et al. MOD-DR:microgrid optimal dispatch with demand response[J]. Applied Energy, 2017, 187:758-776. [27] JIN M, FENG W, MARNAY C, et al. Microgrid to enable optimal distributed energy retail and end-user demand response[J]. Applied Energy, 2017, 210:1321-1335. [28] GIVLER T P L. Using HOMER Software, NREL's micropower optimization model, to explore the role of gen-sets in small solar power systems[R]. NREL Technical Report, 2005. [29] GU W, WU Z, BO R, et al. Modeling, planning and optimal energy management of combined cooling, heating and power microgrid:a review[J]. International Journal of Electric Power and Energy Systems, 2014, 54:26-37. [30] CHASSIN D P, SCHNEIDER K, GERKENSMEYER C. GridLAB-D:an open-source power systems modeling and simulation environment[C]//2008 IEEE/PES Transmission and Distribution Conference and Exposition. Chicago:IEEE, Apr. 21-24, 2008:1-5. [31] BALDUCCI P, VISWANATHAN V, WU D, et al. The salem smart power center[R]. America:Pacific Northwest National Laboratory, 2017. [32] Borrego springs microgrid-Microgrid Symposiums[EB/OL]. (n.d.)[2019-01-08]. http://microgrid-symposiums.org/microgrid-examples-and-demonstrations/borrego-springs-microgrid/. [33] Montgomery County Government. Public safety headquarters microgrid[EB/OL]. (2017-06-20)[2019-01-08]. https://www.montgomerycountymd.gov/dgs-oes/MGP-PSHQ.html. [34] Ameresco. case study:Arizona state university, az[EB/OL]. (2015-05-20)[2019-1-8]. http://www.ameresco.com/wp-content/uploads/2018/02/AM_544-09_ComprehensiveCS-ARIZONA-STATE-LR.pdf. [35] Overseas Private Investment Corporation. Simpa networks:making solar power affordable in rural india[EB/OL]. (2014-06-20)[2019-01-08]. https://www.opic.gov/opic-action/featured-projects/south-asia/simpa-networks-making-solar-power-affordable-rural-india. |
[1] | Jie WANG, Fei ZHENG, Pengcheng ZHANG, Ludong CHEN, Hua GAO, Jingrong MENG. Model of High-Proportion New Energy Distribution Network Planning Based on Data-Driven Approach [J]. Electric Power, 2025, 58(3): 175-182. |
[2] | Zhibin YAN, Li LI, Peng YANG, Huihui SONG, bin CHE, Panlong JIN. Optimal Scheduling Strategy for Microgrid Considering the Support Capabilities of Grid Forming Energy Storage [J]. Electric Power, 2025, 58(2): 103-110. |
[3] | Kun HUANG, Ming FU, Jiaxiang ZHAI, Haochen HUA. Distributed Coordination Optimization for Economic Operation of the Multi-Microgrid System Based on Improved Linearization ADMM [J]. Electric Power, 2025, 58(2): 193-202. |
[4] | Lei TAO, Pingping LUO, Jikeng LIN. Two-stage Detection Method for DC Microgrid False Data Injection Attack Based on Deep Learning [J]. Electric Power, 2024, 57(9): 11-19. |
[5] | Shiyan ZHU, Yin XU, Jinghan HE, Ying WANG. A Restoration Method for Distribution System Based on Projection of Multiple Microgrids [J]. Electric Power, 2024, 57(9): 224-230. |
[6] | Zhongran YAO, Liying SUN. Balanced Control Strategy of Distributed Energy Storage SOC Considering Line Impedance [J]. Electric Power, 2024, 57(9): 238-246. |
[7] | Donglei SUN, Yi SUN, Rui LIU, Pengkai SUN, Yumin ZHANG. Maximum Accommodation Capacity Decomposition of Distributed Renewable Power Generation Considering Multi-Level Distribution Network [J]. Electric Power, 2024, 57(8): 108-116. |
[8] | Lingling TAN, Wei TANG, Dongqing CHU, Zihan YU, Xingquan JI, Yumin ZHANG. Low-Carbon-Economic Collaborative Optimal Dispatching of Microgrid Considering Electricity-Hydrogen Integration [J]. Electric Power, 2024, 57(5): 137-148. |
[9] | Hu TAN, Xiaoliang WANG, Tingting XU, Ke ZHAO, Lianchao SU, Wenyu ZHANG, Zheng XIN. Economic and Technological Optimization of Hybrid Rural Microgrid with Wind, PV, Biogas, Storage, AC, and DC [J]. Electric Power, 2024, 57(3): 27-33. |
[10] | Yiming LI, Qi HE, Hailiang WANG, Hao ZHONG, Hui MA, Yuehua HUANG. Centralized Control Strategy for Hybrid Microgrid Based on Layered Event Triggering [J]. Electric Power, 2024, 57(3): 73-82. |
[11] | Chongbiao ZHANG, Chenwen QIAN, Hongyan YU, Yanling PENG, Jinwei CHEN. Interactive Operation Strategy for Multi-scenario County-Level Multi-microgrid Based on ADMM [J]. Electric Power, 2024, 57(2): 9-18. |
[12] | Wenfei YI, Weiping ZHU, Mingzhong ZHENG. Economic Dispatch of Microgrid Considering Data Center and Wind Power Uncertainty [J]. Electric Power, 2024, 57(2): 19-26. |
[13] | Suhao CHEN, Yue WU, Wei ZENG, Xiaohui YANG, Xiaopeng WANG, Yunfei WU. Two-Stage Dispatch of CCHP Microgrid Based on NNC and DMC [J]. Electric Power, 2024, 57(2): 171-182. |
[14] | Kun HUANG, Ming FU, Jiaben LIANG. Frequency Regulation Strategy of Isolated Island Microgrid Based on Fusion Expert Knowledge DDPG [J]. Electric Power, 2024, 57(2): 194-201. |
[15] | Zhongkai YI, Langbo HOU, Ying XU, Yongfeng WU, Zhimin LI, Junfei WU, Teng FENG, Liu HAN. Aggregation and Operation Key Technology of Virtual Power Plant with Flexible Resources in Electricity Market Environment: Review [J]. Electric Power, 2024, 57(12): 82-96. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||