Abstract
A group of distributed generators (DGs) systems including wind, solar, diesel, energy storage (ES), etc., that are under a central management and control is often considered as virtual power plant (VPP) concept. One of the components of a VPP is ES, whose presence and participation in the electricity market can create business opportunities. In this paper, a new mathematical-based strategy for identifying different types of trading situations considering VPPs effects is proposed in the electricity market to obtain maximum benefit. Also VPP trading between energy and ancillary services is considered and analysed. The presented model considers all limitations of the VPP including network constrains and the structure of VPPs. The optimal management of distributed energy units determines the state of charge (SoC) or discharge of ES resources and the amount of intermittent load for the day ahead electricity market. By implementing the proposed model on the microgrid (MG), two different modes of trading for VPPs are examined and the changes of efficiency related to energy storages are analysed. In order to solve the issue of optimal operation strategy, an intelligent approach based on differential evolution (DE) algorithm is used. The obtained simulation results of both modes are compared with those VPP without energy storage. The results show notable profits in both modes.
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Abedinia O, Amjady N, Ghadimi N (2018) Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm. Comput Intell 34:241–260
Ghiasi M (2019) Detailed study, multi-objective optimization, and design of an AC-DC smart microgrid with hybrid renewable energy resources. Energy 169:496–507
Aghajani G, Ghadimi N (2018) Multi-objective energy management in a micro-grid. Energy Rep 4:218–225
Sadeghian O, Shotorbani AM, Mohammadi-Ivatloo B (2019) Generation maintenance scheduling in virtual power plants. IET Gener Transm Distrib 13:2584–2596
Mousavian S, Conejo AJ, Sioshansi R (2020) Equilibria in investment and spot electricity markets: a conjectural-variations approach. Eur J Oper Res 281:129–140
Ghadimi N, Akbarimajd A, Shayeghi H, Abedinia O (2018) Two stage forecast engine with feature selection technique and improved meta-heuristic algorithm for electricity load forecasting. Energy 161:130–142
Gazijahani FS, Ravadanegh SN, Salehi J (2018) Stochastic multi-objective model for optimal energy exchange optimization of networked microgrids with presence of renewable generation under risk-based strategies. ISA Trans 73:100–111
X. Hu, S. Zhou, T. Chen, and M. Ghiasi, "Optimal Energy Management of a DC Power Traction System in an Urban Electric Railway Network with Dogleg Method," Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2021
Bracale A, Angelino R, Carpinelli G, Mangoni M, Proto D (2011) Dispersed generation units providing system ancillary services in distribution networks by a centralised control. IET Renew Power Gener 5:311–321
Shahmohammadi A, Sioshansi R, Conejo AJ, Afsharnia S (2018) Market equilibria and interactions between strategic generation, wind, and storage. Appl Energy 220:876–892
M. Qadrdan, X. Xu, M. Abeysekera, J. Wu, N. Jenkins, C. Gutschi, et al., "Quantifying Flexibility of Industrial Steam Systems for Ancillary Services: A Case Study of An Integrated Pulp and Paper Mill," IET Energy Systems Integration, 2020
Ghiasi M, Dehghani M, Niknam T, Baghaee HR, Padmanaban S, Gharehpetian GB et al (2021) Resiliency/cost-based optimal design of distribution network to maintain power system stability against physical attacks: a practical study case. IEEE Access 9:43862–43875
Kim S, Kwon W-H, Kim H-J, Jung K, Kim GS, Shim T et al (2019) J Electric Eng Technol 14:2277–2287
K. Rajesh and N. Visali, "Aggregation of Unit Commitment with Demand Side Management," J Electric Eng Technol, 2021/01/27 2021
Ghiasi M, Niknam T, Dehghani M, Siano P, Haes Alhelou H, Al-Hinai A (2021) Optimal multi-operation energy management in smart microgrids in the presence of RESs based on multi-objective improved de algorithm: cost-emission based optimization. Appl Sci 11:3661
Akbari-Dibavar A, Zare K, Nojavan S (2019) A hybrid stochastic-robust optimization approach for energy storage arbitrage in day-ahead and real-time markets. Sustain Cities Soc 49:101600
M. Hossain, N. Yoshino, and F. Taghizadeh-Hesary, "Default risks, moral hazard and market-based solution: Evidence from renewable energy market in Bangladesh," Econom Model, 2020.
Afshari-Igder M, Niknam T, Khooban M-H (2018) Probabilistic wind power forecasting using a novel hybrid intelligent method. Neural Comput Appl 30:473–485
Hadayeghparast S, SoltaniNejad Farsangi A, Shayanfar H (2019) Day-ahead stochastic multi-objective economic/emission operational scheduling of a large scale virtual power plant. Energy 172:630–646
Hassani Ahangar AR, Gharehpetian GB, Baghaee HR (2020) A review on intentional controlled islanding in smart power systems and generalized framework for ICI in microgrids. Int J Electric Power Energy Syst 118:105709
Chen Z (2019) Investigating the impact of distributed energy resources on market power of strategic utility corporation. IET Energy Systems Integration 1:97–103
M. Safari, A. Sohani, and H. Sayyaadi, "A higher performance optimum design for a tri-generation system by taking the advantage of water-energy nexus," J Cleaner Product, p. 124704, 2020.
Mohseni-Bonab SM, Kamwa I, Moeini A, Rabiee A (2020) Voltage security constrained stochastic programming model for day-ahead BESS schedule in Co-optimization of T&D systems. IEEE Trans Sustain Energy 11:391–404
Aliasghari P, Mohammadi-Ivatloo B, Alipour M, Abapour M, Zare K (2018) Optimal scheduling of plug-in electric vehicles and renewable micro-grid in energy and reserve markets considering demand response program. J Clean Prod 186:293–303
Jadidbonab M, Mousavi-Sarabi H, Mohammadi-Ivatloo B (2018) Risk-constrained scheduling of solar-based three state compressed air energy storage with waste thermal recovery unit in the thermal energy market environment. IET Renew Power Gener 13:920–929
Leou R-C (2012) An economic analysis model for the energy storage system applied to a distribution substation. Int J Electr Power Energy Syst 34:132–137
Chellamani GK, Chandramani PV (2020) An optimized methodical energy management system for residential consumers considering price-driven demand response using satin bowerbird optimization. J Electric Eng Technol 15:955–967
Hoang KD, Lee H-H (2020) State of charge balancing for distributed battery units based on adaptive virtual power rating in a DC microgrid. J Electric Eng Technol 15:2121–2131
Tariq R, Sohani A, Xamán J, Sayyaadi H, Bassam A, Tzuc OM (2019) Multi-objective optimization for the best possible thermal, electrical and overall energy performance of a novel perforated-type regenerative evaporative humidifier. Energy Convers Manag 198:111802
Kim W-J, Lee Y-S, Chun Y-H (2020) Assessment of primary control reserve requirement from generator considering a battery energy storage system. J Electric Eng Technol 15:315–324
Hajibandeh N, Shafie-khah M, Badakhshan S, Aghaei J, Mariano SJ, Catalão JP (2019) Multi-objective market clearing model with an autonomous demand response scheme. Energies 12:1261
Dehghani M, Khooban MH, Niknam T, Rafiei S (2016) Time-varying sliding mode control strategy for multibus low-voltage microgrids with parallel connected renewable power sources in islanding mode. J Energy Eng 142:05016002
Bahmani-Firouzi B, Sharifinia S, Azizipanah-Abarghooee R, Niknam T (2015) Scenario-based optimal bidding strategies of GENCOs in the incomplete information electricity market using a new improved prey—predator optimization algorithm. IEEE Syst J 9:1485–1495
Palma-Behnke R, Vargas LS, Jofré A (2005) A distribution company energy acquisition market model with integration of distributed generation and load curtailment options. IEEE Trans Power Syst 20:1718–1727
Mashhour E, Moghaddas-Tafreshi S (2010) Mathematical modeling of electrochemical storage for incorporation in methods to optimize the operational planning of an interconnected micro grid. J Zhejiang Univ Sci C 11:737–750
Ghiasi M, Olamaei J (2016) Optimal capacitor placement to minimizing cost and power loss in Tehran metro power distribution system using ETAP (A case study). Complexity 21:483–493
Ghiasi M (2018) A comparative study on common power flow techniques in the power distribution system of the Tehran metro. Tehnički glasnik 12:244–250
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Li, B., Ghiasi, M. A New Strategy for Economic Virtual Power Plant Utilization in Electricity Market Considering Energy Storage Effects and Ancillary Services. J. Electr. Eng. Technol. 16, 2863–2874 (2021). https://doi.org/10.1007/s42835-021-00811-8
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DOI: https://doi.org/10.1007/s42835-021-00811-8