LEADER 05209nam 22006495a 450 001 9910438054303321 005 20200520144314.0 010 $a0-387-09736-8 024 7 $a10.1007/978-0-387-09736-7 035 $a(CKB)2560000000102390 035 $a(EBL)1317331 035 $a(SSID)ssj0001099758 035 $a(PQKBManifestationID)12470705 035 $a(PQKBTitleCode)TC0001099758 035 $a(PQKBWorkID)11053987 035 $a(PQKB)10796725 035 $a(SSID)ssj0000935389 035 $a(PQKBManifestationID)11588614 035 $a(PQKBTitleCode)TC0000935389 035 $a(PQKBWorkID)10971289 035 $a(PQKB)11332118 035 $a(DE-He213)978-0-387-09736-7 035 $a(MiAaPQ)EBC1317331 035 $a(PPN)170486508 035 $a(EXLCZ)992560000000102390 100 $a20130325d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aEngineering it-enabled sustainable electricity services $ethe tale of two low-cost Green Azores Islands /$fMarija D. Ilic, Le Xie, Qixing Liu, editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (558 p.) 225 0 $aPower Electronics and Power Systems 300 $aDescription based upon print version of record. 311 $a0-387-09735-X 320 $aIncludes bibliographical references and index. 327 $aThe Case for Engineering Next-Generation IT-Enabled Electricity Services at Value -- The Tale of Two Green Islands in the Azores Archipelago -- Electrical Networks of the Azores Archipelago -- Generation and Demand Characteristics of the Islands of Flores and Sao Miguel -- Conventional Generation Dispatch Methods in Systems with Intermittent Resources -- Multi-Scale Models for Decomposing Uncertainties in Load and Wind Power -- Look-Ahead Model-Predictive Generation Dispatch Methods -- Assessing the Ability of Different Types of Loads to Participate in Adaptive Load Management -- Look-ahead Model-Predictive Generation and Demand Dispatch for Managing Uncertainties -- Counterexamples to Commonly Held Assumptions on Unit Commitment and Market Power Assessment -- The Role of Electric Vehicles in Making Azores Islands Green -- Optimal Placement of Wind Power Plants for Delivery Loss Minimization -- Toward an Extended AC OPF-Based Approach to Wind Power Integration and Pricing -- Modeling and Control Framework to Ensure Intra-Dispatch Regulation Reserves -- Stabilization and Regulation of Small Frequency Fluctuations by Means of Governor and Flywheel Control -- The Role of Enhanced Voltage Control in Stabilizing Dynamics of Electric Energy Systems -- Small Signal Stability of Electric Power Systems on the Azores Archipelago -- Toward Reconfigurable Smart Distribution Systems for Differentiated Reliability of Service -- Transient Stabilization in Systems with Wind Power -- Generation Planning under Uncertainty with Variable Resources. 330 $aEngineering IT-Enabled Electricity Services: The Tale of Two Low-Cost Green Azores Islands covers sustainable energy services to customers - a balanced choice and coordination of energy generated by traditional and alternative sources. The ?Green Islands? project represents a decade of work by over a dozen researchers who have developed a model designed to utilize the potential of distributed clean resources. The key is the proper use of Information Technology (IT).  Sited on two islands in the Azores, the project developed the model of careful forecasting of demand and supply, down to the minute, coordinating the output of conventional power plants, wind energy, fly wheels, hydroelectricity, demand reduction, and even plug-in electric vehicles to take full advantage of the clean resources available. This contributed volume presents methods for predicting variable resources, such as wind power generation, and analyzes the achievable accuracy of these predictions. Throughout this book, contributors show that the cost of serving customers in systems with highly uncertain generation will depend to a very large extent on how well the predictions are done. Therefore, the supporting IT technologies based on predictive models become critical to avoid the need for fast-responding storage. The model the authors have developed could change the way power portfolios are built. A new perspective for optimization of green energy is presented in this book. Data provided with the book represents a repository of real-world   electric energy systems and its IT-enabled smarts. 410 0$aPower Electronics and Power Systems,$x2196-3185 ;$v30 606 $aBiology$xMathematical models 606 $aEcology$xMathematical models 615 0$aBiology$xMathematical models. 615 0$aEcology$xMathematical models. 676 $a621.3 701 $aIlic$b Marija D$028467 701 $aXie$b Le$01368834 701 $aLiu$b Qixing$01760887 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438054303321 996 $aEngineering it-enabled sustainable electricity services$94200019 997 $aUNINA