13797

12539

كارشناسي ارشد

مخابرات(شبكه)

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

۱۳۹۷

نه، ۶۸ص.: مصور، جدول، نمودار

مسعودرضا هاشمي

زهرا بهارلويي

1397/06/10

كتابنامه

برق و كامپيوتر

مهندسي برق و كامپيوتر

ID12539

5 2 1 تعييپ ضريب تابع تنبيه 54 5 3 شبيهسازي روش پيشنهادي 54 5 4 شاخص مسطح بودن پروفايل بار كل سيستم 75 5 5 جمعبندي و نتيجهگيري 95 فصل ششم جمعبندي و پيشنهادها 06 6 1 جمعبندي 06 6 2 پيشنهادها 26 6 2 1 پيادهسازي الگوريتم برمبناي راستگويي افراد 26 6 2 2 استفاده از الگوي مصرف كاربران براي تعييپ تنبيه 36 مراجع 46 چكيده انگليسي 86 نه هشت

69 Investigation of the Consumers Cheat Prevention Methods in Load Management Algorithms Farahnaz Haftbaradaran f haft@ec iut ac ir Date of Submission June 19 2018 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor Masoud Reza Hashemi hashemim@cc iut ac irAbstract The demand side management in the smart grid has recently been investigated extensively Bydeveloping the concept of the smart geid demand side management techniques have also been developed andautomated algorithms for this purpose have been proposed In automated algorithms load management isperformed by users themselves and in these methods competition between users to maintain their interests ismodeled with game theory A significant point in the design of load management algorithms is that theirsuccess depends on the collaboration and participation of the users of the power grid in these loadmanagement programs Therefore some key features should be considered in designing these algorithms toachieve their purpose in load planning and reduce the total power grid load peak Among these features canbe mentioned optimality of the algorithms fairness among consumers who participate in the demand sidemanagement programs and protecting the privacy of consumers against their neighbors The most importantfeature in designing demand side algorithms is how these algorithms can cope with dishonest users Sometimes users give false information about their load profiles to other users in order to increase theirprofits in other words some users announce more than their actual consumption to other users in order toincrease their profit or reduce their electricity bill Therefore the absence of this feature means that thealgorithm is not resistant to dishonest users which may discourage the other users from cooperating in thesystem In this thesis we describe the robustness of the DSM algorithms against dishonest users which isneglected in some load management algorithms and we will provide a billing mechanism that preventscheating The proposed electricity bill consists of two parts 1 The cost of the user s actual consumption 2 The cost of cheating proportional to the amount of the load profile exceeding this actual consumption Theproposed punishment mechanism encourages the consumers to announce load profiles that are close to theiractual consumption The simulation results show that the proposed billing function results in the reduction ofthe peak load and the convergence diagram of the system total cost Keywords Smart Grid Demand Side Management Algorithms Billing Mechanism Game Theory Punishment Function

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