Multi-objective optimization of combined heat and power microgrid considering pollutant emission

被引：0
作者：
Gu, Wei [1 ,2 ]
Wu, Zhi [1 ,2 ]
Wang, Rui [3 ]
机构：
[1] School of Electrical Engineering, Southeast University
[2] Jiangsu Key Laboratory of Smart Grid Technology and Equipment
[3] Jiangsu Taizhou Power Supply Company
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2012年 / 36卷 / 14期
关键词：
Chance constrained programming; Combined heat and power; Economic operation; Energy saving and emission reduction; Microgrid; Multi-objective optimization; Particle swarm optimization algorithm;
D O I：
10.3969/j.issn.1000-1026.2012.14.033
中图分类号：
学科分类号：
摘要：
With an eye on the broad vistas of extensive application of the combined heat and power (CHP) system for its environment friendliness and energy-saving, an investigation has been made on the operation optimization of a CHP system composed of PV batteries, storage batteries, heat storage tank, microturbine (MT), heat recovery boiler, and thermo-electric loads. The characteristics of MT's electric power generation efficiency, exhaust heat recovery efficiency and pollutant gas emission are comprehensively considered. The kinetic battery model (KiBaM) is used to consider the minimum state of charge (SOC). Finally a multi-objective chance constrained programming (CCP) model is developed with PV and stochastic thermo-electric load, operation cost, CO emission and minimum NO x emission all taken into consideration. The stochastic simulation and Pareto set are used to solve the CCP problem. A revised multi-objective particle swarm optimization (MOPSO) based on local and global memory is proposed to solve the model. Simulation results show that, with this method, suggestions can be made to optimize microgrid configuration, realize micro-sources dynamic dispatching and effectively reduce the operation cost and pollution gas emission.
引用
收藏
页码：177 / 185
页数：8
相关论文
共 28 条
  • [1] Aki H., The penetration of micro CHP in residential dwellings in Japan, Proceedings of Power Engineering Society General Meeting, pp. 1-4, (2007)
  • [2] Jablko R., Saniter C., Hanitsch R., Et al., Technical and economical comparison of micro CHP systems, Proceedings of International Conference on Future Power Systems, (2005)
  • [3] Dong Q., Tian K., Zhang Y., Et al., The situation and problems of CHP industry in China, Proceedings of International Conference on Management and Service Science, pp. 1-4, (2009)
  • [4] Houwing M., Negenborn R.R., de Schutter B., Demand response with micro-CHP systems, Proceedings of the IEEE, 99, 1, pp. 200-213, (2011)
  • [5] Buckley L., Boljevic S., Barry N., Et al., Impact of combined heat and power (CHP), plant on small and medium size enterprise (SME), energy supply used as trigeneration, Proceedings of Universities Power Engineering Conference, pp. 1-5, (2009)
  • [6] Ding M., Zhang Y., Mao M., Et al., Economic operation optimization for microgrids including NA/S battery storage, Proceedings of the CSEE, 31, 4, pp. 7-14, (2011)
  • [7] El-Shark M.Y., Rahman A., Alam M.S., Et al., Thermal energy management of a CHP hybrid of wind and a grid-parallel PEM fuel cell power plant, Proceedings of IEEE Power Systems Conference and Exposition, pp. 1-6, (2009)
  • [8] Abu H.A., Khalid M.N., Optimal sizing for a gas-fired grid-connected cogeneration system planning, IEEE Trans on Energy Conversion, 24, 4, pp. 950-958, (2009)
  • [9] Canova A., Chicco G., Mancarella P., Assessment of the emissions due to cogeneration microturbines under different operation modes, Proceedings of Power Engineering Energy and Electrical Drives, pp. 684-689, (2007)
  • [10] Basu A.K., Chowdhury S., Chowdhury S.P., Optimal management of CHP-based microgrid, Proceedings of Power System Technology Conference, pp. 1-5, (2010)
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