A new optimal power flow approach for wind energy integrated power systems
- Authors: Rahmani, Shima , Amjady, Nima
- Date: 2017
- Type: Text , Journal article
- Relation: Energy Vol. 134, no. (2017), p. 349-359
- Full Text: false
- Reviewed:
- Description: Penetration of wind generation into power systems in recent years has greatly affected optimal power flow (OPF) because of the uncertain behavior of this new energy resource. In this research work, at first, a novel scenario generation approach is proposed to model wind power (WP) uncertainty. The proposed scenario generation approach includes construction of probability density function (PDF) pertaining to WP forecast error, segmentation of the PDF by an efficient clustering approach to obtain both the optimal number and the optimal arrangement of the clusters, and the generation of WP scenarios using the optimized clusters through roulette wheel mechanism. Secondly, this paper presents a new OPF framework based on DC network modeling for wind generation integrated power systems. Thirdly, a new out-of-sample analysis is presented to evaluate the long-run performance of the proposed OPF approach encountering various realizations of uncertain WPs. Finally, the performance of the proposed method for solving WP-integrated OPF problem is extensively illustrated on the IEEE 30-bus and the IEEE 118-bus test systems and compared with the performance of the deterministic method and the Weibull PDF method. These comparisons illustrate better performance of the proposed method, while it has reasonable computation times. •A new scenario generation approach is presented.•A new wind power integrated optimal power model is proposed.•A new out-of-sample analysis is presented.•The effectiveness of the proposed model is extensively illustrated.
Enhanced goal attainment method for solving multi-objective security-constrained optimal power flow considering dynamic thermal rating of lines
- Authors: Rahmani, Shima , Amjady, Nima
- Date: 2019
- Type: Text , Journal article
- Relation: Applied soft computing Vol. 77, no. (2019), p. 41-49
- Full Text: false
- Reviewed:
- Description: Security-constrained optimal power flow (SCOPF) is an important problem in power system operation. Dynamic thermal rating (DTR), as an effective method to increase transmission capacity of power systems, has been recently considered in some optimal power flow (OPF) and SCOPF models. Additionally, in today power systems, OPF problem involves various objectives leading to multi-objective OPF models. In this paper, a new multi-objective SCOPF model considering DTR of transmission lines is presented. In addition, a new multi-objective solution method is proposed to solve the multi-objective SCOPF problem. The proposed method is an enhanced version of goal attainment technique in which the search capability of this technique to cover borders of the Pareto frontier is enhanced. The proposed multi-objective DTR-included SCOPF model as well as the proposed multi-objective solution method are tested on the IEEE 118-bus test system and the obtained results are compared with the results of other alternatives. •A new multi-objective DTR-included SCOPF model is presented.•A new multi-objective solution method is proposed.•Proposed method can search the beyond-utopia-hyperplane parts of Pareto frontier.•Effectiveness of the proposed model and proposed method is extensively evaluated.
Optimal operation strategy for multi-carrier energy systems including various energy converters by multi-objective information gap decision theory and enhanced directed search domain method
- Authors: Rahmani, Shima , Amjady, Nima
- Date: 2019
- Type: Text , Journal article
- Relation: Energy conversion and management Vol. 198, no. (2019), p. 111804
- Full Text: false
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- Description: •Presenting a new operation model for multi-carrier energy systems.•Uncertainty modeling by a multi-objective information gap decision theory approach.•Presenting a novel multi-objective solution method to solve the proposed model.•Introducing a new post-optimization method to attain the best robustness level. Multi-carrier energy systems can increase energy efficiency due to the ability of these systems to consider and optimize the interactions of various energy carriers. However, the operation of these systems is somehow different from the operation of conventional single-carrier energy systems. In this paper, a new operation strategy for multi-carrier energy systems including natural gas and electricity is proposed. Various energy converters, including conventional and renewable electricity generators, gas furnace, and combined heat and power generator, are modeled in the proposed strategy to supply different electric, heat, and gas loads in the output. The proposed operation strategy employs a multi-objective information gap decision theory approach to model the uncertainty sources of multi-carrier energy systems, such as the uncertainties of demand forecasts, wind power forecast, and photovoltaic power forecast. For solving the multi-objective optimization problem, based on information gap decision theory, for multi-carrier energy system operation, an enhanced directed search domain method is proposed as a new multi-objective optimization approach. The performance of the proposed multi-carrier energy system operation optimization model and the proposed enhanced directed search domain solution method is investigated on the IEEE 118-bus test system by comparing with the other alternatives.