成果報告書詳細
管理番号20130000000600
タイトル*平成24年度中間年報 米国ニューメキシコ州における日米スマートグリッド実証(1)
公開日2013/11/14
報告書年度2012 - 2012
委託先名株式会社東芝
プロジェクト番号P09023
部署名スマートコミュニティ部
和文要約
英文要約We are mainly focusing on (1)Microgrid Demonstration in Los Alamos, (2)Microgrid Demonstration in Commercial Areas in Albuquerque, (3)Collective Research on a Smart Grid, (4)Research on cyber security and information and (5)Development of model simulation techniques. (3), (4) and (5) are parts of Collective Research on Overall Project. Regarding (1) and (2), we have developed Micro EMS, MDMS and Smart Meter and finished the on-site test. As the result, operation has started in Albquerque site and Los Alamos site on May 17th and September 17th, respectively. We are in charge of maintenance of Los Alamos site after the operation start. Now, we are in progress of demand response demonstration for 1600 residents in Los Alamos. We have finished the education for those residents and started survey. We also in progress to built the system for the demonstration. The last item is islanding operation. We discussed how to migrate to the islanding without blackout and will finish the evaluation soon. Regarding (3), we have two study items. One is analyzing experimental data for evaluating smart grid performances. The other is the total evaluation of smart grid on supply reliability, envirmental and economical effect through comprehensive simulation study. For former study item, we analyzed experimental data recorded in Data Management System (MDS) based on performance indexes developed in fiscal year 2010. We confirmed that; 1) No power quality violation was observed so far. 2) Capacity factor of LAC 1MW PV was around 15 to 20% which was larger than Japanese average of 12%. 3) LAC PV contributes to reduce CO2 emission by about 100-ton/Month. For latter study item, we performed two simulation studies. One was for evaluating Demand Response (DR) effectiveness based on the hybrid simulator integrating demand simulator and grid simulator developed in fiscal year 2011. Critical Peak Pricing (CPP) was used for DR scheme for example. Simulation results showed that peak cut effect and demand rebound just after completion of DR are different from peak pricing. The other simulation study was for evaluating battery capacities in LAC smart grid. Simulation results showed that capacity of Nas battery is insufficient for constant power flow control, but Lead Acid battery has excessive capacity. It is necessary to re-examine the control method by simulation study to reduce required Nas battery capacity. Regarding (4), we are discussing 4 topics, 1) Privacy protection for metering data, 2) Robust protocol against brute force authentication attack and 3) Cyber security testing framework. 4) Evaluation of AMI Communication Security Implementation. For 1), we investigated MDMS privacy protection scheme using public key homomorphic encryption. This scheme protects metering data from an attack from malicious user or improper user. For 2), we investigated how to apply light-weight message authentication technique over network transport layer which can prevent DDoS attacks to the smart grid modules with other security standard protocols, and designed the secret key management scheme. For 3), Based on the results of threat analysis done last year, we examined the framework for attack scenario generation. For 4), we have installed 2 smart meters in the NEDO smart house. These smart meters have network access authentication functionality (PANA client) and connect to the MDMS (PANA server) at the LAC office via optical fiber. Regarding (5), We have improved demand simulator accuracy and cumulative error rate is decreased to an average of 25% in the LAC feeder 16 case. We have designed survey for human behavior modeling in LAC area and chosen 100 volunteers. We have developed 3 types of demand response model, and made preliminary experiment on demand response simulation in LAC area. In this simulation, we not only calculated demand, but also calculated voltage and frequency using hybrid simulator, which is the combination of demand simulator and grid simulator.
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