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2023 | OriginalPaper | Buchkapitel

6. Optimizing Wind Power Participation in Day-Ahead Electricity Market Using Meta-heuristic Optimization Algorithms

verfasst von : Hamed Dehghani, Behrooz Vahidi

Erschienen in: Energy Systems Transition

Verlag: Springer International Publishing

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Abstract

Recently, use of wind generation due to its clean and cheap power has been considerably increased. The presence of wind sources in power systems brings several challenges for the operators. They have difficulties to make suitable decisions for electricity market, due to uncertain nature of wind power. In this chapter, a new objective function considering wind power uncertainty is proposed to minimize total expected costs. To do so, a new procedure is presented to quantify probability density function (PDF) of each uncertainty interval based on wind power plant’s information. Considering the derived PDF, the objective function is formed and optimized by using meta-heuristic optimization algorithms. The results reveal a reduction in total expected cost has up to 20%.

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Literatur
1.
Zurück zum Zitat Awad AS, Ahmed MH, El-Fouly TH, Salama MM (2017) The impact of wind farm location and control strategy on wind generation penetration and market prices. Renew Energy 106:354–364CrossRef Awad AS, Ahmed MH, El-Fouly TH, Salama MM (2017) The impact of wind farm location and control strategy on wind generation penetration and market prices. Renew Energy 106:354–364CrossRef
2.
Zurück zum Zitat Bahmani R, Karimi H, Jadid S (2020) Stochastic electricity market model in networked microgrids considering demand response programs and renewable energy sources. Int J Electr Power Energy Syst 117:105606CrossRef Bahmani R, Karimi H, Jadid S (2020) Stochastic electricity market model in networked microgrids considering demand response programs and renewable energy sources. Int J Electr Power Energy Syst 117:105606CrossRef
3.
Zurück zum Zitat Banaei M, Raouf-Sheybani H, Oloomi-Buygi M, Boudjadar J (2021) Impacts of large-scale penetration of wind power on day-ahead electricity markets and forward contracts. Int J Electr Power Energy Syst 125:106450CrossRef Banaei M, Raouf-Sheybani H, Oloomi-Buygi M, Boudjadar J (2021) Impacts of large-scale penetration of wind power on day-ahead electricity markets and forward contracts. Int J Electr Power Energy Syst 125:106450CrossRef
4.
Zurück zum Zitat Bhattacharya K, Bollen MH, Daalder JE (2012) Operation of restructured power systems. Springer Science & Business Media, New York Bhattacharya K, Bollen MH, Daalder JE (2012) Operation of restructured power systems. Springer Science & Business Media, New York
5.
Zurück zum Zitat Bitar EY, Rajagopal R, Khargonekar PP, Poolla K, Varaiya P (2012) Bringing wind energy to market. IEEE Trans Power Syst 27(3):1225–1235CrossRef Bitar EY, Rajagopal R, Khargonekar PP, Poolla K, Varaiya P (2012) Bringing wind energy to market. IEEE Trans Power Syst 27(3):1225–1235CrossRef
6.
Zurück zum Zitat Bremnes JB (2004) Probabilistic wind power forecasts using local quantile regression. Wind Energy 7(1):47–54CrossRef Bremnes JB (2004) Probabilistic wind power forecasts using local quantile regression. Wind Energy 7(1):47–54CrossRef
7.
Zurück zum Zitat Dai T, Qiao W (2013) Trading wind power in a competitive electricity market using stochastic programing and game theory. IEEE Trans Sustain Energy 4(3):805–815CrossRef Dai T, Qiao W (2013) Trading wind power in a competitive electricity market using stochastic programing and game theory. IEEE Trans Sustain Energy 4(3):805–815CrossRef
8.
Zurück zum Zitat Dai T, Qiao W (2015) Optimal bidding strategy of a strategic wind power producer in the short-term market. IEEE Trans Sustain Energy 6(3):707–719CrossRef Dai T, Qiao W (2015) Optimal bidding strategy of a strategic wind power producer in the short-term market. IEEE Trans Sustain Energy 6(3):707–719CrossRef
9.
Zurück zum Zitat De Jonghe C, Hobbs BF, Belmans R (2013) Value of price responsive load for wind integration in unit commitment. IEEE Trans Power Syst 29(2):675–685CrossRef De Jonghe C, Hobbs BF, Belmans R (2013) Value of price responsive load for wind integration in unit commitment. IEEE Trans Power Syst 29(2):675–685CrossRef
10.
Zurück zum Zitat Dehghani H (2015) Investigation of the wind power forecast uncertainty in power market for optimization of clearing price, MSc thesis, Amirkabir unversity of technology (Teharan polytechnic), Iran Dehghani H (2015) Investigation of the wind power forecast uncertainty in power market for optimization of clearing price, MSc thesis, Amirkabir unversity of technology (Teharan polytechnic), Iran
11.
Zurück zum Zitat Dehghani H, Faramarzi D, Vahidi B, Saeidi M (2017a) A probabilistic method for cost minimization in a day-ahead electricity market considering wind power uncertainties. J Renew Sustain Energy 9(6):063301CrossRef Dehghani H, Faramarzi D, Vahidi B, Saeidi M (2017a) A probabilistic method for cost minimization in a day-ahead electricity market considering wind power uncertainties. J Renew Sustain Energy 9(6):063301CrossRef
12.
Zurück zum Zitat Dehghani H, Vahidi B, Hosseinian SH (2017b) Wind farms participation in electricity markets considering uncertainties. Renew Energy 101:907–918CrossRef Dehghani H, Vahidi B, Hosseinian SH (2017b) Wind farms participation in electricity markets considering uncertainties. Renew Energy 101:907–918CrossRef
13.
Zurück zum Zitat Du Y, Li F, Zandi H, Xue Y (2021) Approximating Nash equilibrium in day-ahead electricity market bidding with multi-agent deep reinforcement learning. J Mod Power Syst Clean Energy 99:1–11 Du Y, Li F, Zandi H, Xue Y (2021) Approximating Nash equilibrium in day-ahead electricity market bidding with multi-agent deep reinforcement learning. J Mod Power Syst Clean Energy 99:1–11
14.
Zurück zum Zitat Exizidis L, Kazempour SJ, Pinson P, de Greve Z, Vallée F (2016) Sharing wind power forecasts in electricity markets: a numerical analysis. Appl Energy 176:65–73CrossRef Exizidis L, Kazempour SJ, Pinson P, de Greve Z, Vallée F (2016) Sharing wind power forecasts in electricity markets: a numerical analysis. Appl Energy 176:65–73CrossRef
15.
Zurück zum Zitat Fu, Y, Li Z (2006) Different models and properties on LMP calculations. In: 2006 IEEE Power Engineering Society General Meeting Fu, Y, Li Z (2006) Different models and properties on LMP calculations. In: 2006 IEEE Power Engineering Society General Meeting
16.
Zurück zum Zitat Hakimi SM, Hasankhani A, Shafie-khah M, Catalão JP (2021) Stochastic planning of a multi-microgrid considering integration of renewable energy resources and real-time electricity market. Appl Energy 298:117215CrossRef Hakimi SM, Hasankhani A, Shafie-khah M, Catalão JP (2021) Stochastic planning of a multi-microgrid considering integration of renewable energy resources and real-time electricity market. Appl Energy 298:117215CrossRef
17.
Zurück zum Zitat Hassan Q (2021) Assessing of renewable energy for electrical household ancillary based on photovoltaics and wind turbines. IOP Conf Ser: Mater Sci Eng 1076(1):012006CrossRef Hassan Q (2021) Assessing of renewable energy for electrical household ancillary based on photovoltaics and wind turbines. IOP Conf Ser: Mater Sci Eng 1076(1):012006CrossRef
18.
Zurück zum Zitat Hirth L (2016) The benefits of flexibility: the value of wind energy with hydropower. Appl Energy 181:210–223CrossRef Hirth L (2016) The benefits of flexibility: the value of wind energy with hydropower. Appl Energy 181:210–223CrossRef
19.
Zurück zum Zitat Ji L, Huang G-H, Huang L-C, Xie Y-L, Niu D-X (2016) Inexact stochastic risk-aversion optimal day-ahead dispatch model for electricity system management with wind power under uncertainty. Energy 109:920–932CrossRef Ji L, Huang G-H, Huang L-C, Xie Y-L, Niu D-X (2016) Inexact stochastic risk-aversion optimal day-ahead dispatch model for electricity system management with wind power under uncertainty. Energy 109:920–932CrossRef
20.
Zurück zum Zitat Khaloie H, Abdollahi A, Shafie-Khah M, Siano P, Nojavan S, Anvari-Moghaddam A, Catalão JP (2020) Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties. J Clean Prod 242:118434CrossRef Khaloie H, Abdollahi A, Shafie-Khah M, Siano P, Nojavan S, Anvari-Moghaddam A, Catalão JP (2020) Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties. J Clean Prod 242:118434CrossRef
21.
Zurück zum Zitat Li T, Shahidehpour M (2005) Price-based unit commitment: a case of Lagrangian relaxation versus mixed integer programming. IEEE Trans Power Syst 20(4):2015–2025CrossRef Li T, Shahidehpour M (2005) Price-based unit commitment: a case of Lagrangian relaxation versus mixed integer programming. IEEE Trans Power Syst 20(4):2015–2025CrossRef
22.
Zurück zum Zitat Litvinov E (2010) Design and operation of the locational marginal prices-based electricity markets. IET Gener Transm Distrib 4(2):315–323CrossRef Litvinov E (2010) Design and operation of the locational marginal prices-based electricity markets. IET Gener Transm Distrib 4(2):315–323CrossRef
23.
Zurück zum Zitat Liu H, Chen Z (2012) Aggregated modelling for wind farms for power system transient stability studies. In: 2012 Asia-Pacific Power and Energy Engineering Conference Liu H, Chen Z (2012) Aggregated modelling for wind farms for power system transient stability studies. In: 2012 Asia-Pacific Power and Energy Engineering Conference
24.
25.
Zurück zum Zitat Mirjalili S, Hashim SZM (2010) A new hybrid PSOGSA algorithm for function optimization. In: 2010 international conference on computer and information application Mirjalili S, Hashim SZM (2010) A new hybrid PSOGSA algorithm for function optimization. In: 2010 international conference on computer and information application
26.
Zurück zum Zitat Moradi-Dalvand M, Mohammadi-Ivatloo B, Amjady N, Zareipour H, Mazhab-Jafari A (2015) Self-scheduling of a wind producer based on information gap decision theory. Energy 81:588–600CrossRef Moradi-Dalvand M, Mohammadi-Ivatloo B, Amjady N, Zareipour H, Mazhab-Jafari A (2015) Self-scheduling of a wind producer based on information gap decision theory. Energy 81:588–600CrossRef
27.
Zurück zum Zitat Morales JM, Conejo AJ, Pérez-Ruiz J (2010) Short-term trading for a wind power producer. IEEE Trans Power Syst 25(1):554–564CrossRef Morales JM, Conejo AJ, Pérez-Ruiz J (2010) Short-term trading for a wind power producer. IEEE Trans Power Syst 25(1):554–564CrossRef
28.
Zurück zum Zitat Motalleb M, Thornton M, Reihani E, Ghorbani R (2016) A nascent market for contingency reserve services using demand response. Appl Energy 179:985–995CrossRef Motalleb M, Thornton M, Reihani E, Ghorbani R (2016) A nascent market for contingency reserve services using demand response. Appl Energy 179:985–995CrossRef
29.
Zurück zum Zitat Opathella C, Venkatesh B (2013) Managing uncertainty of wind energy with wind generators cooperative. IEEE Trans Power Syst 28(3):2918–2928CrossRef Opathella C, Venkatesh B (2013) Managing uncertainty of wind energy with wind generators cooperative. IEEE Trans Power Syst 28(3):2918–2928CrossRef
30.
Zurück zum Zitat Patnam BSK, Pindoriya NM (2021) Demand response in consumer-centric electricity market: mathematical models and optimization problems. Electr Power Syst Res 193:106923CrossRef Patnam BSK, Pindoriya NM (2021) Demand response in consumer-centric electricity market: mathematical models and optimization problems. Electr Power Syst Res 193:106923CrossRef
31.
Zurück zum Zitat Prol JL, Steininger KW, Zilberman D (2020) The cannibalization effect of wind and solar in the California wholesale electricity market. Energy Econ 85:104552CrossRef Prol JL, Steininger KW, Zilberman D (2020) The cannibalization effect of wind and solar in the California wholesale electricity market. Energy Econ 85:104552CrossRef
32.
Zurück zum Zitat Rao RV, Savsani VJ, Vakharia D (2012) Teaching–learning-based optimization: an optimization method for continuous non-linear large scale problems. Inf Sci 183(1):1–15MathSciNetCrossRef Rao RV, Savsani VJ, Vakharia D (2012) Teaching–learning-based optimization: an optimization method for continuous non-linear large scale problems. Inf Sci 183(1):1–15MathSciNetCrossRef
33.
Zurück zum Zitat Razmjoo A, Kaigutha LG, Rad MV, Marzband M, Davarpanah A, Denai M (2021) A technical analysis investigating energy sustainability utilizing reliable renewable energy sources to reduce CO2 emissions in a high potential area. Renew Energy 164:46–57CrossRef Razmjoo A, Kaigutha LG, Rad MV, Marzband M, Davarpanah A, Denai M (2021) A technical analysis investigating energy sustainability utilizing reliable renewable energy sources to reduce CO2 emissions in a high potential area. Renew Energy 164:46–57CrossRef
34.
Zurück zum Zitat Reddy SS (2017) Optimal scheduling of thermal-wind-solar power system with storage. Renew Energy 101:1357–1368CrossRef Reddy SS (2017) Optimal scheduling of thermal-wind-solar power system with storage. Renew Energy 101:1357–1368CrossRef
35.
Zurück zum Zitat Reddy SS, Momoh JA (2015) Realistic and transparent optimum scheduling strategy for hybrid power system. IEEE Trans Smart Grid 6(6):3114–3125CrossRef Reddy SS, Momoh JA (2015) Realistic and transparent optimum scheduling strategy for hybrid power system. IEEE Trans Smart Grid 6(6):3114–3125CrossRef
36.
Zurück zum Zitat Reddy SS, Abhyankar A, Bijwe P (2012) Market clearing for a wind-thermal power system incorporating wind generation and load forecast uncertainties. In: 2012 IEEE power and energy society general meeting Reddy SS, Abhyankar A, Bijwe P (2012) Market clearing for a wind-thermal power system incorporating wind generation and load forecast uncertainties. In: 2012 IEEE power and energy society general meeting
37.
Zurück zum Zitat Reddy SS, Sandeep V, Jung C-M (2017) Review of stochastic optimization methods for smart grid. Front Energy 11(2):197–209CrossRef Reddy SS, Sandeep V, Jung C-M (2017) Review of stochastic optimization methods for smart grid. Front Energy 11(2):197–209CrossRef
38.
Zurück zum Zitat Sadeghian O, Oshnoei A, Tarafdar-Hagh M, Kheradmandi M (2020) A clustering-based approach for wind farm placement in radial distribution systems considering wake effect and a time-acceleration constraint. IEEE Syst J 15(1):985–995CrossRef Sadeghian O, Oshnoei A, Tarafdar-Hagh M, Kheradmandi M (2020) A clustering-based approach for wind farm placement in radial distribution systems considering wake effect and a time-acceleration constraint. IEEE Syst J 15(1):985–995CrossRef
39.
Zurück zum Zitat Sadeghian O, Oshnoei A, Tarafdar-Hagh M, Khezri R (2021) A clustering-based technoeconomic analysis for wind farm and shunt capacitor allocation in radial distribution systems. Int Trans Electr Energy Syst 31(1):e12708CrossRef Sadeghian O, Oshnoei A, Tarafdar-Hagh M, Khezri R (2021) A clustering-based technoeconomic analysis for wind farm and shunt capacitor allocation in radial distribution systems. Int Trans Electr Energy Syst 31(1):e12708CrossRef
40.
Zurück zum Zitat Sinsel SR, Riemke RL, Hoffmann VH (2020) Challenges and solution technologies for the integration of variable renewable energy sources—a review. Renew Energy 145:2271–2285CrossRef Sinsel SR, Riemke RL, Hoffmann VH (2020) Challenges and solution technologies for the integration of variable renewable energy sources—a review. Renew Energy 145:2271–2285CrossRef
41.
Zurück zum Zitat Vahidi B, Dehghani H (2020) Linear and nonlinear modeling of demand response programs. In book: demand response application in smaet grids. Springer, Cham, pp 79–92 Vahidi B, Dehghani H (2020) Linear and nonlinear modeling of demand response programs. In book: demand response application in smaet grids. Springer, Cham, pp 79–92
42.
Zurück zum Zitat Vilim M, Botterud A (2014) Wind power bidding in electricity markets with high wind penetration. Appl Energy 118:141–155CrossRef Vilim M, Botterud A (2014) Wind power bidding in electricity markets with high wind penetration. Appl Energy 118:141–155CrossRef
43.
Zurück zum Zitat Wang X, Zhang H, Zhang S, Wu L (2021) Impacts of joint operation of wind power with electric vehicles and demand response in electricity market. Electr Power Syst Res 201:107513CrossRef Wang X, Zhang H, Zhang S, Wu L (2021) Impacts of joint operation of wind power with electric vehicles and demand response in electricity market. Electr Power Syst Res 201:107513CrossRef
44.
Zurück zum Zitat Xiao Y, Wang X, Wang X, Dang C, Lu M (2016) Behavior analysis of wind power producer in electricity market. Appl Energy 171:325–335CrossRef Xiao Y, Wang X, Wang X, Dang C, Lu M (2016) Behavior analysis of wind power producer in electricity market. Appl Energy 171:325–335CrossRef
45.
Zurück zum Zitat Xu Y, Hu Q, Li F (2013) Probabilistic model of payment cost minimization considering wind power and its uncertainty. IEEE Trans Sustain Energy 4(3):716–724CrossRef Xu Y, Hu Q, Li F (2013) Probabilistic model of payment cost minimization considering wind power and its uncertainty. IEEE Trans Sustain Energy 4(3):716–724CrossRef
46.
Zurück zum Zitat Zeynali S, Nasiri N, Marzband M, Ravadanegh SN (2021) A hybrid robust-stochastic framework for strategic scheduling of integrated wind farm and plug-in hybrid electric vehicle fleets. Appl Energy 300:117432CrossRef Zeynali S, Nasiri N, Marzband M, Ravadanegh SN (2021) A hybrid robust-stochastic framework for strategic scheduling of integrated wind farm and plug-in hybrid electric vehicle fleets. Appl Energy 300:117432CrossRef
47.
Zurück zum Zitat Zhang B, Johari R, Rajagopal R (2015) Competition and coalition formation of renewable power producers. IEEE Trans Power Syst 30(3):1624–1632CrossRef Zhang B, Johari R, Rajagopal R (2015) Competition and coalition formation of renewable power producers. IEEE Trans Power Syst 30(3):1624–1632CrossRef
48.
Zurück zum Zitat Zhang C, Wang Q, Wang J, Korpås M, Pinson P, Østergaard J, Khodayar ME (2016) Trading strategies for distribution company with stochastic distributed energy resources. Appl Energy 177:625–635CrossRef Zhang C, Wang Q, Wang J, Korpås M, Pinson P, Østergaard J, Khodayar ME (2016) Trading strategies for distribution company with stochastic distributed energy resources. Appl Energy 177:625–635CrossRef
49.
Zurück zum Zitat Zhao H, Wu Q, Hu S, Xu H, Rasmussen CN (2015) Review of energy storage system for wind power integration support. Appl Energy 137:545–553CrossRef Zhao H, Wu Q, Hu S, Xu H, Rasmussen CN (2015) Review of energy storage system for wind power integration support. Appl Energy 137:545–553CrossRef
Metadaten
Titel
Optimizing Wind Power Participation in Day-Ahead Electricity Market Using Meta-heuristic Optimization Algorithms
verfasst von
Hamed Dehghani
Behrooz Vahidi
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-22186-6_6