Transmission network expansion planning in full open market considering security constraints

2014 IEEE PES Transmission &Amp; Distribution Conference and Exposition - Latin America (PES T&D-La)

Bolaños

Zuluaga

2014

This paper shows a methodology for solving the Transmission Expansion Planning (TEP) problem when Multiple Generation Scenarios (MGS) are considered. MGS are a result of the market based environment introduced by electricity deregulation. The solution to this problem is carried out by using multiobjective evolutionary strategies for the optimization process, implementing a new hybrid modified NSGA-II/Chu-Beasley algorithm. The proposed methodology is validated using the 6-bus Garver system and the IEEE-24 bus system. The TEP is based on the DC model of the network and non-linear interior point method is used to initialize the population.A set of Pareto optimal expansion plans with different levels of cost and load shedding is found for each system, showing the robustness of the proposed approach.

Section: A Garver 6-bus Systemmentioning

confidence: 80%

Multiobjective Transmission Expansion Planning considering Multiple Generation Scenarios

2014 IEEE PES Transmission &Amp; Distribution Conference and Exposition - Latin America (PES T&D-La)

Bolaños

Zuluaga

2014

“…To face this new scheme, different load flow patterns must be taken into account according to the dispatch scenarios created by the market rules, by the changes in generation and demand, and by the availability of primary energy sources [20][21][22][23].…”

Section: Transmission Expansion Planning Considering Multiple Generatmentioning

confidence: 99%

“…The presented approach differs from traditional methodologies where the linear transportation model or the Villasana-Garver-Salon methodology are used for initializing the population of a metaheuristic [22,31,35]. The proposed initialization scheme uses the information from the DC model when treating n ij as a continuous variable, improving the previous models given that non-linearity of the problem and both Kirchhoff laws are taken into account.…”

Section: Initialization Of the Populationmentioning

confidence: 99%

“…These changes, lead to adjustments in TEPP models in order to include: congestion, annual costs, bilateral transactions, reliability and operation costs, among others [20][21][22][23][24][25][26][27][28][29]. The obtained expansion plans ensure equity to all market participants according to the considered information.…”

Section: Introductionmentioning

confidence: 99%

“…This problem was also faced in [22] considering network security (N-1 contingency criteria). The way of solving this problem using a mono-objective approach is shown in [30].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Transmission expansion planning considering multiple generation scenarios and demand uncertainty

Ingeniare. Rev. chil. ing.

Bolaños²,

Escobar

2014

RESUMENEl presente artículo presenta una metodología para resolver el problema del Planeamiento de la Expansión de la Transmisión (PET) cuando se consideran Múltiples Escenarios de Generación (MEG) e incertidumbre en la demanda. Los MEG conllevan a múltiples patrones de flujo de potencia, como resultado del ambiente competitivo existente en los sistemas eléctricos. Por lo tanto, en este trabajo, los diferentes patrones de flujo son tomados en cuenta para evitar congestión futura en la red de transmisión y así evitar futuros cortes de carga. La solución de este problema es obtenida mediante el uso del algoritmo genético especializado de Chu-Beasley, que incluye una nueva estrategia de programación no lineal para la población inicial, usando el método de punto interior. También se incluye una etapa de diversificación que esparce las soluciones en el espacio de búsqueda para aumentar la capacidad de convergencia. A su vez, se tiene en cuenta la incertidumbre de la generación y la demanda mediante su inclusión en el modelo matemático, permitiendo variaciones en un rango determinado. Esta formulación está asociada con disminuciones importantes en los costos de los planes de expansión, cuando se comparan con los modelos tradicionales de generación y demanda fija. Con esta metodología se encuentran planes de expansión para el sistema de Garver de 6 barras y el sistema IEEE de 24 barras, obteniendo un corte de carga nulo bajo cualquier escenario de generación futuro.Palabras clave: Planeamiento de la transmisión, escenarios de generación, uncertainty, optimización, punto interior. ABSTRACT This paper shows a methodology for solving the Transmission Expansion Planning Problem (TEPP) when Multiple Generation Scenarios (MGS) and demand uncertainty are considered. MGS lead to

Enhanced multiobjective algorithm for transmission expansion planning consideringN − 1 security criterion

Int. Trans. Electr. Energ. Syst.

Bolaños

Garcés

2014

SUMMARYPower system deregulation and the high penetration of renewable energies have introduced new challenges for the transmission expansion planning (TEP), which is a high complex mixed-integer non-linear problem. The search space and the computational effort increase if these constraints are included; therefore, efficient methods for solving the problem are needed. This paper presents an enhanced NSGA-II multiobjective algorithm for solving the security-constrained TEP problem, taking into account the N À 1 security criterion. This new methodology takes advantage of the NSGA-II crowded distance features and the Chu-Beasley genetic algorithm. The performance of the proposed algorithm is validated using three test systems. A set of optimal non-dominated solutions for each test system is thoroughly analyzed from the power systems and computational standpoint. The analysis of the obtained results and the comparison with others from the specialized literature show the robustness and the advantages of using this algorithm.