Multi-Objective Dynamic Economic Emission Dispatch of Microgrid Using Novel Efficient Demand Response And Zero Energy Balance Approach

Mehdi Mohammadjafari, Reza Ebrahimi, Vahid Parvin Darabad

Abstract


Energy management system (EMS) in microgrids (MGs) encompasses both dynamic economic dispatch (DED) and dynamic emission dispatch problems, known as dynamic economic emission dispatch (DEED). In this paper, this system is implemented for an MG with different distributed generations. The aim of 24-hour-cycle scheduling is to determine the generation level of diesel generators (DGs), participation rate of responsive loads and their incentives, charging/discharging status of the battery, and the amount of exchanged energy with the main grid. The scheduling task is performed with the objectives of minimizing operation costs and emissions and maximizing the benefit of MG operator (MGO) resulting from the demand response (DR). Due to their interactive operation, the customers’ behavioral model and the relevant cost functions have a significant impact on the optimal operation. In this paper, the cost function of customers is developed in the incentive-based DR program (DRP) with the aim of receiving a more realistic incentive and then it is combined with DEED. Finally, the zero energy balance (ZEB) interaction between the MG and the main grid is proposed as a solution. Regarding the multi-objective and nonlinear optimization problem, the proposed method, with the help of whale optimization algorithm (WOA), is implemented on a small-scale MG in MATLAB software, where electrical loads are also taken into account. Simulation results highlight the fact that the integration of DR into DEED along with import/export ZEB between the MG and the main grid leads to optimal operation and reduced power imported from the main grid, and helps maintain the load/generation balance.

Keywords


Microgrid; Dynamic economic emission dispatch (DEED); Energy management system (EMS); Demand response (DR); Zero Energy Balance (ZEB); Whale Optimization Algorithm (WOA)

Full Text:

PDF

References


I. Trivedi, P. Jangir, M. Bhoye, N. Jangir, "An economic load dispatch and multiple environmental dispatch problem solution with microgrids using interior search algorithm," Neural Computing and Applications, vol. 30, no. 7, pp. 2173-2189, 2018.

Xu. Chen, Bin. Xu, Wenli. Du, "An Improved Particle Swarm Optimization with Biogeography-Based Learning Strategy for Economic Dispatch Problems," Complexity, vol. 2018, 2018.

M. Zaman, SM. Elsayed, T. Ray, RA. Sarker, "Evolutionary algorithms for dynamic economic dispatch problems," IEEE Trans Power system, vol. 31, no. 2, pp. 1486-1495, 2016.

F. Mahdi, P. Vasant, V. Kallimani, J. Watada, P. Fai, M. Abdullah-Al-Wadud, "A holistic review on optimization strategies for combined economic emission dispatch problem," Renewable and Sustainable Energy Reviews, vol. 81, pp. 3006-3020, 2018.

A. Abdelaziz, E. Ali, S. A. Elazim, "Implementation of ower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems in power systems," Energy, vol. 101, pp. 506-518, 2016.

R. Arul, S. Velusami, G. Ravi, "A new algorithm for combined dynamic economic emission dispatch with security constraints," Energy, vol. 79, pp. 496-511, 2015.

N. Khan, A. Awan, A. Mahmood, S. Razzaq, A. Zafar, G. Sidhu, "Combined emission economic dispatch of power system including solar photo voltaic generation," Energy Conversion and Management, vol. 92, pp. 82-91, 2015.

Mayank Singh, Rakesh Chandra Jha,, "Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization," Energies, vol. 12, no. 3, pp. 370-395, 2019.

L. Mellouk, M. Boulmalf, A. Aaroud, K. Zine-Dine, D. Benhaddou, "Genetic algorithm to Solve Demand Side Management and Economic Dispatch Problem," Procedia Computer Science, vol. 130, pp. 611-618, 2018.

A. Arif, F. Javed, N.Arshad, "Integrating renewables economic dispatch with demand side management in micro-grids: a genetic algorithm-based approach," Energy Efficien, vol. 7, no. 2, pp. 271-284, 2014.

M. Fahrioglu, N. Nwulu, "Investigating a ranking of loads in avoiding potential power system outages," Journal Electrical Review, vol. 88, no. 11, pp. 239-242, 2012.

B. Lokeshgupta, S. Sivasubramani, "Multi-objective dynamic economic and emission dispatch with demand side Management," Electrical Power and Energy Systems, vol. 97, pp. 334-343, 2018.

X. X. NI. Nwulu, "Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs," Energy Convers Manage, vol. 89, pp. 963-974, 2015.

N. Nwulu, X. Xia, "Optimal dispatch for a microgrid incorporating renewables and demand response," Renewable Energy, vol. 101, pp. 16-28, 2017.

Sayyad. Nojavan, Majid. Majidi, Kazem. Zare, "Optimal scheduling of heating and power hubs under economic and environment issues in the presence of peak load management," Energy Conversion and Management, vol. 156, pp. 34-44, 2018.

Igor. Sartori, Assunta. Napolitano, Karsten. Voss, "Net zero energy buildings: A consistent definition framework," Energy Buildings, vol. 48, pp. 220-232, 2012.

Vanika. Sharma, Mohammed H. Haque, Syed Mahfuzul. Aziz, "Energy cost minimization for net zero energy homes through optimal sizing of battery storage system," Renewable Energy, vol. 141, pp. 278-286, 2019.

Sakdirat. Kaewunruen, Panrawee. Rungskunroch, Joshua. Welsh, "A Digital-Twin Evaluation of Net Zero Energy Building for Existing Buildings," Sustainability, vol. 11, no. 1, pp. 1-22, 2019.

B. Zhu, H. Tazvinga, X. Xia, "Switched model predictive control for energy dispatching of a photovoltaic-diesel-battery hybrid power system," IEEE Transactions on Control Systems Technology, vol. 23, no. 3, pp. 1229-1236, 2015.

H. Tazvinga, B. Zhu, X. Xia, "Energy dispatch strategy for a photovoltaic wind diesel battery hybrid power system," Solar Energy, vol. 108, pp. 412-420, 2014.

Xiaonan. Wang, Nael H. El-Farra, Ahmet. Palazoglu, "Optimal scheduling of demand responsive industrial production with hybrid renewable energy systems," Renewable Energy, vol. 100, pp. 53-64, 2017.

M. M. G. Lawan, J. Raharijaona, M.B. Camara, B. Dakyo, " Power control for decentralized energy production system based on the renewable energies — using battery to compensate the wind/load/PV power fluctuations," in 2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA), San Diego, CA, USA , 2017.

Abdulkader Harrouz, Ilhami Colak, Korhan Kayisli, " Control of a small wind turbine system application," in 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), Birmingham, UK , 2016.

N. Ghaffarzadeh, M. Zolfaghari, F. Jahanbani Ardakani, A. Jahanbani Ardakani, "Optimal Sizing of Energy Storage System in a Micro Grid Using the Mixed Integer Linear Programming," International Journal of Renewable Energy Research-IJRER , vol. 7, no. 4, pp. 2004-2016, 2017.

T. Baba, Y. Mizuno, Y. Tanaka, F. Kurokawa, M. Tanaka, I. Colak, N. Matsui, " Comparison of optimum energy scheduling of emergency generators of a large hospital with renewable energy system using mathematical programming method," in 2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA), San Diego, CA, USA , 2017.

N.I. Nwulu, X. Xia, "Implementing a model predictive control strategy on the dynamic economic emission dispatch problem with game theory based demand response programs," Energy, vol. 91, pp. 404-419, 2015.

M.Fahrioglu, F. L. Alvarado, "Using utility information to calibrate customer demand management behavior models," IEEE Trans Power System, vol. 16, no. 2, pp. 317-322, 2001.

M. Fahrioglu, FL. Alvarado, "Designing incentive compatible contracts for effective demand management," IEEE Trans Power Syst, vol. 15, no. 4, pp. 1255-1260, 2000.

K. Wu, H. Zhou, "A multi-agent-based energy-coordination control system for grid-connected large-scale windphotovoltaic energy storage powergeneration units," Solar Energy, vol. 107, pp. 245-259, 2014.

Katheryn Donado Mercado, Jamer Jiménez, M. Christian G. Quintero , " Hybrid renewable energy system based on intelligent optimization techniques," in 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), Birmingham, UK , 2016.

Jeonghun Song, Seung Jin Song, Si-Deok Oh, Yungpil Yoo , " Optimal operational state scheduling of wind turbines for lower battery capacity in renewable power systems in islands," in 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), Birmingham, UK , 2016.

Seyedali. Mirjalili , Andrew. Lewis, "The Whale Optimization Algorithm," Advances in Engineering Software, vol. 95, pp. 51-67, 2016.

A.L.ott, "PJM locational pricing," EEI transmission pricing school, 2001.




DOI (PDF): https://doi.org/10.20508/ijrer.v10i1.10322.g7846

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE in 2025; 

h=35,

Average citation per item=6.59

Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43

Category Quartile:Q4