Transmission Expansion Planning in Deregulated Power ... - tuprints

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Transmission Expansion Planning in Deregulated Power ... - tuprints

9 Conclusions 111

of future scenarios.

Conventional risk assessment has some drawbacks. In the fourth part, drawbacks of scenario

technique criteria were pointed out. New criteria were presented for the scenario technique

including degree of robustness of order 1-5. Fuzzy multi criteria decision making was used

for the risk assessment of solutions. In this method a fuzzy appropriateness index is defined

for selecting the final plan. The fuzzy appropriateness index is computed by aggregation of

importance degrees of decision criteria and appropriateness degrees of expansion plans versus

decision criteria. The presented approach is applied to IEEE 30 bus test system and the result

was compared with conventional risk assessment in different cases. The comparison shows

that fuzzy risk assessment overcomes the shortcomings of conventional risk assessment

method.

In the fifth part of the work, a transmission expansion planning approach with consideration

given to stakeholders’ desires was presented. The approach considers the desires of demand

customers, power producers, network owner(s), system operator, and regulator in

transmission expansion planning. Stakeholders’ desires can be sought in competition,

reliability, flexibility, network charge and environmental impacts. Fuzzy decision making was

used for taking into account the desires of all stakeholders. A fuzzy appropriateness index is

defined for measuring the goodness of expansion plans. The fuzzy appropriateness index is

defined by aggregating importance weights of stakeholders in decision making, importance

degrees of stakeholders’ desires from the viewpoint of different stakeholders, and

appropriateness degrees of expansion plans versus stakeholders’ desires. The approach was

applied to IEEE 30 bus test systems to find the plan which compromise between stakeholders’

desires.

The presented approach in the fifth part can not consider non-random uncertainties. In the

sixth part, the presented approach was extended to consider stakeholders’ desires under nonrandom

uncertainties. The fuzzy appropriateness index, which is defined in part five for

measuring the goodness of expansion plans, is computed for each expansion plan in each

scenario. Fuzzy regret was defined with considering the occurrence degrees of future

scenarios. Fuzzy risk assessment was used to find the final plan. The steps of planning were

described in details by applying the approach to an eight bus system.

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