- Title
- Economic scheduling of CCHP systems considering the tradable green certificates
- Creator
- Yang, Hongming; Zhang, Dangqiang; Meng, Ke; Lai, Mingyong; Dong, Zhao Yang
- Relation
- Optimization and Control Methods in Industrial Engineering and Construction p. 139-160
- Relation
- Intelligent Systems, Control and Automation: Science and Engineering 72
- Publisher Link
- http://dx.doi.org/10.1007/978-94-017-8044-5_9
- Publisher
- Springer
- Resource Type
- book chapter
- Date
- 2014
- Description
- Due to the fossil fuel crisis contributed by the explosive growth in energy demand, combined cooling heating and power (CCHP) systems which can jointly supply electricity and hot/cold have become the mainstream of energy generation technology. In this chapter, tradable green certificate mechanism is firstly introduced to operation of CCHP system, and the impacts of tradable green certificate on the scheduling of CCHP system are studied. And then, based on the probability distribution ofwind speed and solar radiation intensity as well as the copula join function, the joint probability distribution ofmaximum available output of multiple solar and wind farms is built. The economic dispatch model formulti-energy complementary system considering the TGC was proposed to maximize renewable energy utilization. This model aims at minimizing total system cost whist fulfilling the constraints of power system stable operation and hot/coldwater pipes safe operation. After that, in order to address the non-convex scheduling optimization problem, global descent method is applied, which can continuously update the local optimal solutions by global descent function, and find global optimal solution. Finally, one modified IEEE 14-bus system is used to verify the performance of the proposed model and optimization solver.
- Subject
- combined cooling heating and power system; copula function; ecomic scheduling; global descent method; renewable energy; tradable green certificate
- Identifier
- http://hdl.handle.net/1959.13/1064570
- Identifier
- uon:17596
- Identifier
- ISBN:9789401780445
- Language
- eng
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