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- Type of Document: Ph.D. Dissertation
- Language: Farsi
- Document No: 41792 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Hosseini, Hamid; Oloomi Buygi, Majid; Shahidehpour, Mohamad
- Abstract:
- This study presents a multi-objective optimization framework for transmission expansion planning in restructured electricity markets under uncertainty considerations. Deregulation of power system has introduced new objectives and requirements for transmission expansion planning problem. Also, the unbundling of electricity industry introduced new uncertainties and escalated the existing ones in network planning. Under these circumstances there is an emerging need for new planning models to cope with restructured electricity industry requirements.The conventional least-cost approaches which represent the transmission expansion planning as a single objective optimization problem could not address the new environment requirements.Thus, in this study a new model is developed based on multi-objective optimization process which can consider different stakeholders' objectives and requirements. Using the genetic based NSGA II algorithm as a posteriori solving method, the proposed model can determine the trade-offs between different objectives. These trade-offs could be used for cost-benefit analysis instead of conventional least-cost approaches. For selecting the best solution among the pareto-optimal ones, the subjective judgment of the planner as a decision maker is modeled by fuzzy satisfying method in the final step of the proposed planning model. Reliability of the transmission network is modeled in the optimization formulation by using deterministic indices as objectives or constraints while probabilistic reliability analysis could be also incorporated in the model.The proposed multi-objective framework is extended to a more developed model which can handle the non-random uncertainties in an efficient manner. Using internal scenario analysis, the extended model can obtain the trade-offs between risk measures and other objectives. This valuable information about the trade-offs between risk indices and cost- benefit functions (as objectives) can be used by the planner to find the well risk- hedged solution. The results from case studies show the benefits of the proposed framework by offering the decision makers (planners) various expansion alternatives regarding their objective values and risk indices
- Keywords:
- Scenario Analysis ; Multiobjective Optimization ; Transmission Expansion Planning ; Restructured System ; Power Systems ; Non-Dominate Sorting Genetic Algorithm (NSGAII) Method
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