Improved Optimal Operation Planning Method Based on Tabu Search for Residential PEFC-CGS Considering Ramping Rate


This paper proposes an improved optimal operation planning method for residential PEFC-CGS (Polymer Electrolyte Fuel CellCo-Generation System). Residential PEFC-CGS has recently been gathering attention as one of the distributed power sources with high efficiency and low environmental impacts. Previous research pointed out that the output variations of PEFC adversely affect the durability. It can be surmised that smaller output variations will be desired to extend durability years. However, in this field, ramping rate have not been sufficiently considered. For local search and tabu search, ramping rate constraint makes our operation planning difficult because it restricts the search for feasible neighborhood solutions. Therefore, the authors proposed a method to deal with typical and harsher ramping rate constraints in comparison with conventional methods. There are two key points for the improvement. One is the reinforcement of the search along the output power axis; the other is to make use of the strategy of tabu search which avoids the local optimal solutions. The simulation results show the effectiveness of the proposed method in the daily operation planning. Furthermore, in the case using typical ramping rate parameter, it is confirmed that tabu search doesn’t contribute the reduction of daily operational cost due to the above stated restriction of the search area.

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Nomoto, S. and Kumano, T. (2015) Improved Optimal Operation Planning Method Based on Tabu Search for Residential PEFC-CGS Considering Ramping Rate. Journal of Power and Energy Engineering, 3, 274-281. doi: 10.4236/jpee.2015.34037.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] The Japan Electrical Manufacture’s Association (JEMA) (2013) Investigative Report of Stationary Fuel Cell System’s Shipment and the Statistics. 62-65.
[2] Panasonic Corporation (2013) Press Release.
[3] Hayashi, Y., Kawasaki, S., Matsuki, J., Tomomoto, A., Miyamoto, H., Funabashi, T., Okuno, Y. and Hayashi, T. (2008) Determination Method of Optimal Operation Schedule for Fuel Cells in Collective Housing. IEEJ Transactions on Power and Energy, 128, 1217-1225.
[4] Sugihara, H., Kato, T., Suzuki, Y. and Tsuji, K. (2004) A Daily Start and Stop Algorithm for Residential Fuel Cell Systems Considering Settings of Day-Ahead Hot Water Demand. IEEJ Transactions on Power and Energy, 124, 705- 713.
[5] Inui, Y., Muto, T. and Maeda, T. (2008) Study on Capacity and Operation Method of PEFC μCGS for Apartment Using Measured Electricity and Hot Water Loads. IEEJ Transactions on Power and Energy, 128, 451-458.
[6] Fuel Cell Commercialization Conference of Japan (FCCJ) (2010) Objectives, R&D Issues and Proposal of the Method of Evaluation for PEFC, 28.
[7] Maeda, K., Yonemori, H. and Yasaka, Y. (2011) An Estimation of Reduction of the Primary Energy and the CO2 Emission in Residential PEFC Co-Generation System with Li-Ion Battery Modules. IEEJ Transactions on Power and Energy, 131, 110.
[8] Kato, T., Hino, N., Kasugai, S. and Suzuoki, Y. (2003) Economic Assessment of Home Co-Generation System with PEFC Based on Survey of Hot-Water Demand. IEEJ Transactions on Power and Energy, 123, 1513-1520.
[9] Japanese Government (2006) Enforcement Order Concerning Promotions of Plans for Global Warming.
[10] Central Environment Council (Japan) (2001) Interim Report for Subcommittee of the Achievement Scenarios of the Aims, Global Environment Section.
[11] Ministry of the Environment and Ministry of Economy, Trade, and Industry (2006) List of Calculation Method and Emission Factor Concerning Calculation, Report, and Announcement.
[12] Bureau of Waterworks Tokyo Metropolitan Government (2012) Home Page.
[13] Ministry of Environment (Japan) (2012) Tax for Plans of Global Warming.
[14] Glover, F. (1989) Tabu Search: Part 1. ORSA Journal on Computing, 1, 190-206.
[15] Glover, F. (1990) Tabu Search: Part 2. ORSA Journal on Computing, 2, 4-32.

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