Analytics and Optimization for Renewable Energy Integration: 1st Edition (Hardback) book cover

Analytics and Optimization for Renewable Energy Integration

1st Edition

By Ning Zhang, Chongqing Kang, Ershun Du, Yi Wang

CRC Press

372 pages | 155 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781138316829
pub: 2019-02-26
SAVE ~$19.49
Available for pre-order

FREE Standard Shipping!


The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.

Table of Contents

Stochastic Mathematics for Renewable Energy Analytics. Overview. Probability theory. Correlation and Copula theory. Dependent discrete convolution. Stochastic differential equation.Stochastic process and scenario.Summary. Long-term Uncertainty of Renewable Energy Generation. Overview. Long-term uncertainty analysis and modeling of wind power generation Long-term uncertainty analysis and modeling of photovoltaic. Case study. Summary. Short-term Uncertainty of Renewable Energy Generation. Overview. Copula based conditional forecast error modeling approach. Wind power short-term uncertainty modeling. Photovoltaic power short-term uncertainty modeling. Case Study. Summary. Short-term Renewable Energy Output Forecasting. Overview. Short-term forecasting framework. Data mining and calibration. An improved forecasting approach with adjustment of NWP Input. Case study. Summary. Renewable Energy Output Simulation. Overview. Wind power output simulation. Photovoltaic power output simulation. Case study. Summary. Finding Representative Renewable Energy Scenarios. Overview. Scenario reduction. Typical scenario and extreme scenario. Comparison and performance. Summary. Probabilistic Load Flow Under Uncertainty. Overview. Probabilistic load flow formulation. DDC based Probabilistic load flow model. High dimensional DDC method. Case study. Summary. Risk-based Stochastic Unit Commitment. Overview. Modeling risks of renewable energy integration. Risk-based stochastic unit commitment. Solving method of risk-based unit commitment. Case study. Summary. Managing Renewable Energy Uncertainty in Electricity Market. Overview. Optimal market bidding strategy. Optimal market bidding and reserve purchasing strategy. Optimal energy and reserve market joint bidding. Case study. Summary. Tie-Line Scheduling Under Uncertainty for Interconnected Power Systems. Overview. Idea and framework. Model formulation. Case study. Summary. Power System Operation Simulation. Considering Renewable Energy Integration. Overview. Power system operation simulation model considering Renewable Energy Integration. Impact of renewable energy integration on the thermal generation operating cost variation. Wind power accommodation analysis based on operation simulation. Pumped storage planning based on operation simulation. Summary. Capacity Credit of Renewable Energy. Overview. DDC based capacity credit calculation. Analytical model of renewable energy capacity credit. Case study. The impact of special correlation on the renewable energy capacity credit. Summary. Renewable Energy Planning Optimization. Overview. Ordinal optimization method. Optimal planning of renewable energy considering capacity credit. Case study. Summary. Generation Expansion Planning Considering Renewable Energy Integration. Overview. Idea and framework. Uncertainty modeling. Model formulation. Case study. Summary. Transmission Expansion Planning Considering Renewable Energy Integration. Overview. Idea and framework. Uncertainty modeling. Model formulation. Case study. Summary.

About the Authors

Ning Zhang got B.Sc. degree of electrical engineering and Excellent Graduate Student Award from Tsinghua University, Beijing, China in 2007. He got his Ph.D of electrical engineering, Excellent Doctoral Thesis Award and Excellent Graduate Student Award from Tsinghua University in 2012. He completed his two-year research as a post doctor and was assigned to work in Tsinghua University in 2014. He was a research associate in The University of Manchester from Oct. 2010 to Jul. 2011 and a research assistant in Harvard University from Dec. 2013 to Mar 2014. His research interests include power system planning, multiple energy system integration, wind power photovoltaic, concentrated solar power. He has led more than 10 scientific research projects including National Natural Science Foundation of China, National Key Research and Development Program of China (sub-task), The State Key Laboratories Development Program of China, and several projects from industry. He was awarded Young Elite Scientists Sponsorship Program by Chinese Association of Science and Technology in 2016. He was awarded The Twelfth Tsinghua University-Yokoyama Ryoji Outstanding Paper Award, one hundred most influential papers and top articles in outstanding S&T journal of China in 2012. He serves as the editor of International Transactions on Electrical Energy Systems (ITEES), CSEE Journal of Power and Energy Systems (CSEE JPES) and the Editorial Board Member of Protection and Control of Modern Power Systems (PCMP). He also severs as guest editor of IEEE Transactions on power system and Proceedings of CSEE. He is the peer reviewer of more than 10 international journals including IEEE TPWRS, IEEE TSTE, IEEE TSG, IEEE TEC, IEEE PESL, IET RPG, IET GTD. He is also the peer reviewer of Proceedings of the CSEE, Automation of Electric Power Systems, Power System Technology, Electric Power Construction and Southern Power System Technology.

About the Series

Energy Analytics

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
SCIENCE / Energy
TECHNOLOGY & ENGINEERING / Electronics / General
TECHNOLOGY & ENGINEERING / Power Resources / Electrical