Multi-objective optimization of coal-fired power units considering deep peaking regulation in China

[1]  Xingping Zhang,et al.  Robust optimization-based dynamic power generation mix evolution under the carbon-neutral target , 2022, Resources, Conservation and Recycling.

[2]  Wei Yang,et al.  Simulating optimal development of clean coal-fired power generation for collaborative reduction of air pollutant and CO2 emissions , 2021 .

[3]  Xingping Zhang,et al.  Power to gas: an option for 2060 high penetration rate of renewable energy scenario of China , 2021, Environmental Science and Pollution Research.

[4]  R. Souza,et al.  Energy generation in Brazilian isolated systems: Challenges and proposals for increasing the share of renewables based on a multicriteria analysis , 2021 .

[5]  Yongpei Guan,et al.  Multistage Stochastic Power Generation Scheduling Co-Optimizing Energy and Ancillary Services , 2020, INFORMS J. Comput..

[6]  Vahid Vahidinasab,et al.  An Enhanced Contingency-Based Model for Joint Energy and Reserve Markets Operation by Considering Wind and Energy Storage Systems , 2020, IEEE Transactions on Industrial Informatics.

[7]  Donghan Feng,et al.  Optimal scheduling for power system peak load regulation considering short-time startup and shutdown operations of thermal power unit , 2021 .

[8]  Lin Jiang,et al.  Robust multi-period and multi-objective portfolio selection , 2021, Journal of Industrial & Management Optimization.

[9]  Iddrisu Awudu,et al.  Renewable electricity generation target setting in developing countries: Modeling, policy, and analysis , 2020 .

[10]  Yang Li,et al.  Robust operation strategy enabling a combined wind/battery power plant for providing energy and frequency ancillary services , 2020 .

[11]  Jie Zhang,et al.  Unit Commitment Comprehensive Optimal Model Considering the Cost of Wind Power Curtailment and Deep Peak Regulation of Thermal Unit , 2020, IEEE Access.

[12]  B. K. Panigrahi,et al.  A profit-based self-scheduling framework for generation company energy and ancillary service participation in multi-constrained environment with renewable energy penetration , 2020, Energy & Environment.

[13]  Ming Liu,et al.  Thermodynamic analysis and life cycle assessment of supercritical pulverized coal-fired power plant integrated with No.0 feedwater pre-heater under partial loads , 2019, Journal of Cleaner Production.

[14]  Wei Fan,et al.  Electric Power Balancing Optimization Considering Thermal Units in Peak-regulating Ancillary Service Market , 2019, 2019 4th International Conference on Intelligent Green Building and Smart Grid (IGBSG).

[15]  Shuang Yuan,et al.  A novel multi-objective robust optimization model for unit commitment considering peak load regulation ability and temporal correlation of wind powers , 2019, Electric Power Systems Research.

[16]  Tao Yu,et al.  Game-Theoretic Approaches Applied to Transactions in the Open and Ever-Growing Electricity Markets From the Perspective of Power Demand Response: An Overview , 2019, IEEE Access.

[17]  Erli Dan,et al.  Demand for flexibility improvement of thermal power units and accommodation of wind power under the situation of high-proportion renewable integration—taking North Hebei as an example , 2019, Environmental Science and Pollution Research.

[18]  Artur M. Schweidtmann,et al.  Model-based bidding strategies on the primary balancing market for energy-intense processes , 2019, Comput. Chem. Eng..

[19]  Chao Ji,et al.  Optimal Bidding Strategy for a Power Producer Under Monthly Pre-Listing Balancing Mechanism in Actual Sequential Energy Dual-Market in China , 2019, IEEE Access.

[20]  John E. Bistline,et al.  Turn Down for What? The Economic Value of Operational Flexibility in Electricity Markets , 2019, IEEE Transactions on Power Systems.

[21]  Ryan Wiser,et al.  Reducing wind power curtailment in China: comparing the roles of coal power flexibility and improved dispatch , 2018, Climate Policy.

[22]  Jonathan Whale,et al.  Wind power variations during storms and their impact on balancing generators and carbon emissions in the Australian National Electricity Market , 2018 .

[23]  Zhinong Wei,et al.  A robust optimization approach for integrated community energy system in energy and ancillary service markets , 2018 .

[24]  Mustafa S. Al-Swaiti,et al.  Co-optimized trading of wind-thermal-pumped storage system in energy and regulation markets , 2017 .

[25]  Wentao Lu,et al.  An inexact multi-objective programming model for an economy-energy-environment system under uncertainty: A case study of Urumqi, China , 2017 .

[26]  Victor M. Zavala,et al.  A multi-scale optimization framework for electricity market participation , 2017 .

[27]  Ali Badri,et al.  Day-ahead scheduling of virtual power plant in joint energy and regulation reserve markets under uncertainties , 2017 .

[28]  Yog Raj Sood,et al.  Market based procurement of energy and ancillary services from Renewable Energy Sources in deregulated environment , 2017 .

[29]  Majid Soleimani-Damaneh,et al.  Energy and Reserve Market Clearing With Microgrid Aggregators , 2016, IEEE Transactions on Smart Grid.

[30]  Saeed Rahmani Dabbagh,et al.  Risk Assessment of Virtual Power Plants Offering in Energy and Reserve Markets , 2016, IEEE Transactions on Power Systems.

[31]  Gaoxi Xiao,et al.  A Robust Optimization Approach for Energy Generation Scheduling in Microgrids , 2015 .

[32]  Abhijit R. Abhyankar,et al.  Optimum day-ahead clearing of energy and reserve markets with wind power generation using anticipated real-time adjustment costs , 2015 .

[33]  Bijay Ketan Panigrahi,et al.  Energy and spinning reserve scheduling for a wind-thermal power system using CMA-ES with mean learning technique , 2013 .

[34]  A. M. Jubril,et al.  Solving Multi-Objective Economic Dispatch Problem Via Semidefinite Programming , 2013, IEEE Transactions on Power Systems.

[35]  Xiaohui Yuan,et al.  Optimal self-scheduling of hydro producer in the electricity market , 2010 .

[36]  R. Marler,et al.  The weighted sum method for multi-objective optimization: new insights , 2010 .

[37]  Roger Fletcher,et al.  The Sequential Quadratic Programming Method , 2010 .