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Title: An innovative disjunctive model for value-based bulk transmission expansion planning

Authors:
;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1398040
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Electric Power Systems Research
Additional Journal Information:
Journal Volume: 143; Journal Issue: C; Related Information: CHORUS Timestamp: 2017-10-05 03:09:49; Journal ID: ISSN 0378-7796
Publisher:
Elsevier
Country of Publication:
Switzerland
Language:
English

Citation Formats

Li, Yifan, and McCalley, James D. An innovative disjunctive model for value-based bulk transmission expansion planning. Switzerland: N. p., 2017. Web. doi:10.1016/j.epsr.2016.09.004.
Li, Yifan, & McCalley, James D. An innovative disjunctive model for value-based bulk transmission expansion planning. Switzerland. doi:10.1016/j.epsr.2016.09.004.
Li, Yifan, and McCalley, James D. Wed . "An innovative disjunctive model for value-based bulk transmission expansion planning". Switzerland. doi:10.1016/j.epsr.2016.09.004.
@article{osti_1398040,
title = {An innovative disjunctive model for value-based bulk transmission expansion planning},
author = {Li, Yifan and McCalley, James D.},
abstractNote = {},
doi = {10.1016/j.epsr.2016.09.004},
journal = {Electric Power Systems Research},
number = C,
volume = 143,
place = {Switzerland},
year = {Wed Feb 01 00:00:00 EST 2017},
month = {Wed Feb 01 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/j.epsr.2016.09.004

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  • A value-based automated transmission system planning model is presented in this paper and the impact of the various network representations on the results of the model is discussed. Value-based integrated resource planning provides a ``societal cost`` (utility operation and investment costs plus customer outage costs) minimizing composite generation-transmission system expansion plan. The model trades-off and compares the costs and benefits of alternative generation and transmission resources using a consistent economic and engineering criterion in order to determine an optimal resource expansion plan. The generalized Benders decomposition algorithm with importance sampling used to solve the problem enables the model to estimatemore » certain average information about scenarios or contingencies by examining only a very small fraction of all the scenarios or contingencies. The impacts of system resources upon both real and reactive power can be analyzed when using the AC power flow equations. It is concluded that for transmission system planning where reactive power flows and voltage constraints are important, it is imperative that an AC power flow model be used. The combination of AC power flow and linearized power flow models, with linearization about the solution of the AC power flow model, was found to be a promising compromise between accuracy and computation time.« less
  • This paper presents a new value-based reliability planning (VBRP) process proposed for planning Duke Power Company`s (DPC) regional transmission system. All transmission served customers are fed from DPC`s regional transmission system which consists of a 44-kV predominantly radial system and a 100-kV predominantly non-radial system. In the past, any single contingency that could occur during system peak conditions and cause a thermal overload required the overloaded facility to be upgraded, regardless of the costs or the likelihood of the overload occurring. The new VBRP process is based on transmission system reliability evaluation and includes the following important elements: (1) amore » ten-year historical data base describing the probabilities of forced outages for lines and transformers; (2) a five-year average load duration curve describing the probability of an overload should a contingency occur; (3) a customer outage cost data base; (4) and probabilistic techniques. The new process attempts to balance the costs of improving service reliability with the benefits or value that these improvements bring to these customers. The objective is to provide the customers their required level of reliability while minimizing the Total Cost of their electric service.« less
  • This paper presents a new algorithm for long-term transmission expansion planning. The algorithm is based on the linear power flow and failure probabilities for operation cost model, and the maximum principle for the long-term investment model. The optimization problem consists of the long-term problem to determine the annual investment, and the yearly problem to determine the optimal operation. The long-term problem is formulated as a Hamiltonian minimization problem and the yearly problem is formulated as a linear programming problem.
  • This paper describes the long term transmission expansion planning model CHOPIN. In CHOPIN, the network expansion is formulated as the static optimization problem of minimizing the global annual cost of electricity production, which is obtained as the sum of the annualized network investment cost, the operation cost and the reliability cost. The solution method takes advantage of the natural decomposition between the investment and operation submodels. The investment submodel is solved by a new heuristic procedure that in practice has invariably yielded the optimal plan. At the operation level CHOPIN optimizes over a multiplicity of scenarios which are characterized bymore » the demand, the hydraulicity and the availability of components. The network is represented by any one out of four options: DC load flow (DCLF), transportation model and two hybrid models. Any of these models may consider the ohmic losses. The model is very efficient computationally; this fact was verified on test examples, as well as on the actual transmission expansion planning of the Spanish system.« less
  • In this paper is presented a static network synthesis method applied to transmission expansion planning. The static synthesis problem is formulated as a mixed-integer network flow model that is solved by an implicit enumeration algorithm. This model considers as the objective function the most productive trade off, resulting in low investment costs and good electrical performance. The load and generation nodal equations are considered in the constraints of the model. The power transmission law of DC load flow is implicit in the optimization model. Results of computational tests are presented and they show the advantage of this method compared withmore » a heuristic procedure. The case studies show a comparison of computational times and costs of solutions obtained for the Brazilian North-Northeast transmission system.« less