A Cost- and Environmental-Based Energy Procurement
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In the recent years, considering environmental issues, generated emission by power-generating units has turned to be a challenge in the power system industry. However, financial issues have been always the first priority in power generation and procurement process, which conflicts with environmental objects. Therefore, a trade-off should be made between financial and environmental objects. In this chapter, a multi-objective model is presented to solve the power procurement problem of a large consumer, to take both environmental and economic objectives into account. The ε-constraint and max-min fuzzy satisfying methods are employed to solve and select the trade-off solution, respectively. In addition, to reduce power procurement cost, demand response programs are implemented flattening the load demand curve of the large consumer. The model is formulated as a mixed-integer linear programming and solved using GAMS optimization software. Considered sample of large consumer in Chap. 2 is used to validate efficiency of utilized techniques.
KeywordsMulti-objective optimization Epsilon constraint method Min-max fuzzy satisfying technique Power procurement of large consumer Economic-environmental power procurement
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