Dynamic economic and emission dispatch model considering wind power under Energy Market Reform: A case study

Abstract With the increasing issues in the environmental and the high requirement for energy, the Energy Market Reform (EMR) was introduced by the UK government. This paper develops a novel Dynamic Economic and Emission Dispatch (DEED) model for a combined conventional and wind power system incorporating the carbon price floor (CPF) and the Emission Performance Standard (EPS) that is supported by the EMR. The proposed model aims to determine the optimal operation strategy for the given system on power dispatch taking into account wind power waste and reserve and also the environmental aspect, especially the CPF of greenhouse gases and the emission limit of the EPS for different decarbonisation scenarios. Case studies for the demand profile in the Sheffield region in the UK with different time intervals is presented. The results indicate that renewable power is superior in both the economics and emissions to a mid to long-term energy strategy in the UK.

[1]  Takaaki Ohishi,et al.  Dynamic dispatch of hydro generating units , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[2]  Harry G. Kwatny,et al.  On the Optimal Dynamic Dispatch of Real Power , 1972 .

[3]  Lixiang Li,et al.  A hybrid FCASO-SQP method for solving the economic dispatch problems with valve-point effects , 2012 .

[4]  Aniruddha Bhattacharya,et al.  Multi-objective economic emission load dispatch solution using gravitational search algorithm and considering wind power penetration , 2013 .

[5]  S. Sivasubramani,et al.  Hybrid SOA–SQP algorithm for dynamic economic dispatch with valve-point effects , 2010 .

[6]  C. Cormos.  Integrated assessment of IGCC power generation technology with carbon capture and storage (CCS) , 2012 .

[7]  C. B. Somuah,et al.  Application of linear programming redispatch technique to dynamic generation allocation , 1990 .

[8]  Prakornchai Phonrattanasak.  Optimal Placement of Wind Farm on the Power System Using Multiobjective Bees Algorithm , 2022 .

[9]  Jan K. Sykulski,et al.  Solving economic dispatch problem using hybrid GA-PS-SQP method , 2009, IEEE EUROCON 2009.

[10]  Gang Liu,et al.  Dynamic economic dispatch for wind-thermal power system using a novel bi-population chaotic differential evolution algorithm , 2012 .

[11]  Ahmed M. Elaiw,et al.  Dynamic Economic Dispatch Using Hybrid DE-SQP for Generating Units with Valve-Point Effects , 2012 .

[12]  Hoay Beng Gooi,et al.  Dynamic Economic Dispatch: Feasible and Optimal Solutions , 2001 .

[13]  Bijay Ketan Panigrahi,et al.  Hybrid flower pollination algorithm with time-varying fuzzy selection mechanism for wind integrated multi-objective dynamic economic dispatch , 2015 .

[14]  Pandian Vasant,et al.  Swarm Based Mean-Variance Mapping Optimization for Solving Economic Dispatch with Cubic Fuel Cost Function , 2015, ACIIDS.

[15]  J. W. Lamont,et al.  Emission dispatch models and algorithms for the 1990s , 1995 .

[16]  Ming Ding,et al.  Dynamic economic dispatch of a microgrid: Mathematical models and solution algorithm , 2014 .

[17]  Stephen Bernow,et al.  Full-cost dispatch: Incorporating environmental externalities in electric system operation , 1991 .

[18]  H.H. Happ,et al.  Optimal power dispatchߞA comprehensive survey , 1977, IEEE Transactions on Power Apparatus and Systems.

[19]  Tyrone Fernando,et al.  Wind-thermal systems operation optimization considering emission problem , 2015 .

[20]  G. L. Decker,et al.  Valve point loading of turbines , 1958, Electrical Engineering.

[21]  Kwok W. Cheung,et al.  Smart Dispatch and Demand Forecasting for Large Grid Operations with Integrated Renewable Resources , 2011 .

[22]  D. Yao,et al.  Design of short-term dispatch strategy to maximize income of a wind power-energy storage generating station , 2011 .

[23]  P. Attaviriyanupap,et al.  A Hybrid EP and SQP for Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function , 2002, IEEE Power Engineering Review.

[24]  Jiang Chuanwen,et al.  A review on the economic dispatch and risk management considering wind power in the power market , 2009 .

[25]  Ian O'Connor,et al.  A Hybrid GA-SQP Algorithm for Analog Circuits Sizing , 2012 .

[26]  Lin Ma,et al.  Combined economic and emission dispatch considering conventional and wind power generating units , 2017 .

[27]  Maria Vrakopoulou,et al.  Stochastic security constrained unit commitment and non-spinning reserve allocation with performance guarantees , 2015 .

[28]  Provas Kumar Roy,et al.  Economic emission dispatch for wind–fossil-fuel-based power system using chemical reaction optimisation , 2015 .

[29]  Uur Güvenç.  Combined economic emission dispatch solution using genetic algorithm based on similarity crossover , 2010 .

[30]  Kwok W. Cheung,et al.  Smart dispatch for large grid operations with integrated renewable resources , 2011, ISGT 2011.

[31]  Michael C. Georgiadis,et al.  Optimal scheduling of interconnected power systems , 2018, Comput. Chem. Eng..

[32]  M. P. Holstein,et al.  Impacts on least cost planning and system operations of monetizing environmental externalities , 1992 .

[33]  David C. Yu,et al.  An Economic Dispatch Model Incorporating Wind Power , 2008, IEEE Transactions on Energy Conversion.

[34]  M. Sailaja Kumari,et al.  Demand response and pumped hydro storage scheduling for balancing wind power uncertainties: A probabilistic unit commitment approach , 2016 .

[35]  Mariesa Louise Crow,et al.  Dynamic economic dispatch with demand side management of individual residential loads , 2015, 2015 North American Power Symposium (NAPS).

[36]  Zhuang Miao,et al.  Environmental/economic power dispatch with wind power , 2014 .

[37]  W. Wood.  Spinning Reserve Constrained Static and Dynamic Economic Dispatch , 1982, IEEE Transactions on Power Apparatus and Systems.

[38]  Malabika Basu,et al.  Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II , 2008 .

[39]  R. K. Aggarwal,et al.  Fast and accurate power dispatch using a relaxed genetic algorithm and a local gradient technique , 2000 .

[40]  Behrang Mansoornejad,et al.  A hybrid GA-SQP optimization technique for determination of kinetic parameters of hydrogenation reactions , 2008, Comput. Chem. Eng..

[41]  D. P. Kothari,et al.  The surrogate worth trade-off approach for multiobjective thermal power dispatch problem , 2000 .

[42]  Michael C. Georgiadis,et al.  A mid-term, market-based power systems planning model , 2016 .

[43]  Daniel S. Kirschen,et al.  What is spinning reserve , 2005 .

[44]  Y. Vagapov,et al.  Future grid 2050 in context of UK gone green scenario , 2016, 2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW).

[45]  Mathijs de Weerdt,et al.  Robust unit commitment with dispatchable wind power , 2018 .

[46]  S. J. Huang,et al.  Enhancement of Hydroelectric Generation Scheduling Using Ant Colony System-Based Optimization Approaches , 2001, IEEE Power Engineering Review.

[47]  Kannan Subramanian,et al.  Environmental and economic power dispatch of thermal generators using modified NSGA-II algorithm , 2015 .

[48]  R. Tzoneva,et al.  Impact of price penalty factors on the solution of the combined economic emission dispatch problem using cubic criterion functions , 2012, 2012 IEEE Power and Energy Society General Meeting.

[49]  J. Kleissl,et al.  Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems , 2013 .

[50]  Pandian Vasant,et al.  A holistic review on optimization strategies for combined economic emission dispatch problem , 2018 .

[51]  Malabika Basu,et al.  Particle Swarm Optimization Based Goal-Attainment Method for Dynamic Economic Emission Dispatch , 2006 .

[52]  T. H. Khoa,et al.  Solving economic dispatch problem with valve-point effects using swarm-based mean–variance mapping optimization (MVMOS) , 2015 .

[53]  A. Ebenezer Jeyakumar,et al.  Hybrid PSO–SQP for economic dispatch with valve-point effect , 2004 .

[54]  Doaa Khalil Ibrahim,et al.  A dynamic economic emission dispatch considering wind power uncertainty incorporating energy storage system and demand side management , 2016 .

[55]  Jun Liang,et al.  Day-ahead unit commitment method considering time sequence feature of wind power forecast error , 2018 .