| Author | Paveen Suwannawat |
| Call Number | AIT Thesis no.ET-11-04 |
| Subject(s) | Cogeneration of electric power and heat.
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| Note | A thesis submitted in pa1tial fulfillment of the requirements for the degree of Master of Engineering in Energy. |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. ET-11-04 |
| Abstract | When there is an increase in localizing power production, microgrid system becomes a solution. Microgrid operation goal is to balance energy production and consumption and to increase the penetration of distributed generation within microgrid network. Microgrid can operate in either an islanding network or a grid connected network. In this thesis, combined heat and power (CHP) distributed generation units which can simultaneously produce both heat and electrical power, will be optimally scheduled in the islanding microgrid network over the 7 days planning period. Each scheduling interval is 15 minutes. For islanding microgrid system, CHP units are installed based on system electrical load and heat demand. In addition, boiler and thermal storage units operate as the additional heat sources to the CHP units. Optimal scheduling of CHP units in the islanding microgrid system is a mixed-integer nonlinear optimization problem. The objective is to minimize the total operating cost subject to real power balance constraint, heat power balance constraint, system spinning reserve requirement constraint, minimum up time and minimum down time constraint of CHP units and boilers, real power generation limit of CHP units, heat power generation limit of CHP units and boilers, and heat storage temperature limit. Mixed-Integer SelfOrganizing Hierarchical Pa1ticle Swarm Optimization with Time-Varying Coefficient (MIHPSO-TVAC) tested on 10-generator unit commitment gives less expensive total cost than Lagrange relaxation (LR), Genetic Algorithm (GA), Evolutionary Programming (EP), Ant Colony System (ACS), Discrete Pa1ticle Swarm Optimization (DPSO), and MixedInteger Pa1ticle Swarm Optimization (MIPSO). Therefore, it is proposed to solve optimal scheduling for CHP units operating in the microgrid system. Test results on 5 CHP units system indicate the better performance than MIPSO in terms of less cost and faster computing time. |
| Year | 2011 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ET-11-04 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Energy Technology (ET) |
| Chairperson(s) | Weerakorn Ongsakul.; |
| Examination Committee(s) | Marpuang, Charles 0. P.;Singh, Jai Govind.; |
| Scholarship Donor(s) | Royal Thai Government Fellowship.; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2011 |