Pareto optimality-based multi-objective transmission planning considering transmission congestion

Wang, Yi; Cheng, Haozhong; Wang, Chun; Hu, Zechun; Yao, Liangzhong; Ma, Zeliang; Zhu, Zhonglie

doi:10.1016/j.epsr.2008.02.004

Cited by 46 publications

(31 citation statements)

References 11 publications

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“…The parameter details of the 77-bus system can be found in [3]. The system has 93 right-of-ways, the active power transmission limit of each line is 2300MW, and line cost is $193,200/km.…”

Section: Case Studymentioning

confidence: 99%

“…A number of literatures have been accomplished in multi-objective TSO planning (MOTP) approach. A detailed review of various methods proposed for MOTP can be found in [2][3][4][5]. Probabilistic tools, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…These approaches usually need repetitive and huge complicated computational work, which leads to time consuming and boring tasks. Therefore, only a few papers [1][2][3][4] take uncertainties into account in MOTP model, which so far has not been considered seriously.…”

Section: Introductionmentioning

confidence: 99%

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MOPSO-based multi-objective TSO planning considering uncertainties

Wang

Zhang

Ding

et al. 2014

IEEE PES Innovative Smart Grid Technologies, Europe

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Abstract-The concerns of sustainability and climate change have posed a significant growth of renewable energy associated with smart grid technologies. Various uncertainties are the major problems need to be handled by transmission system operator (TSO) planning. This paper mainly focuses on three uncertain factors, i.e. load growth, generation capacity and line faults, and aims to enhance the transmission system via the multi-objective TSO planning (MOTP) approach. The proposed MOTP approach optimizes three objectives simultaneously, namely the probabilistic available transfer capability (PATC), investment cost and power outage cost. A two-phase MOPSO algorithm is employed to solve this optimization problem, which can accelerate the convergence and guarantee the diversity of Pareto-optimal front set as well. The feasibility and effectiveness of the proposed multi-objective planning approach has been verified by the 77-bus system.

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“…The parameter details of the 77-bus system can be found in [3]. The system has 93 right-of-ways, the active power transmission limit of each line is 2300MW, and line cost is $193,200/km.…”

Section: Case Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

MOPSO-based multi-objective TSO planning considering uncertainties

Wang

Zhang

Ding

et al. 2014

IEEE PES Innovative Smart Grid Technologies, Europe

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“…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%

Transmission expansion planning considering multiple generation scenarios and demand uncertainty

Correa

Bolaños²,

Escobar

2014

Ingeniare. Rev. chil. ing.

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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

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“…Additionally, a stochastic multi-objective optimization framework is proposed in [11] to take security constrains into concern for transmission planning. In the other perspectives, a congestion surplus [12] is identified in a multiobjective transmission planning (MOTP) model for dealing with the risk of the network congestions. Recently, for integrating the large-scale wind power, a probabilistic MOTP model equipped with risk-control strategies is developed by [13] to avoid transmission overloading.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty-averse TRANSCO planning for accommodating renewable energy in CO2 reduction environment

Zhang

Ding

Wang

et al. 2015

J. Mod. Power Syst. Clean Energy

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The concern of the environment and energy sustainability requests a crucial target of CO 2 abatement and results in a relatively high penetration of renewable energy generation in the transmission system. For maintaining system reliability and security, the transmission company (TRANSCO) has to make strategic planning to handle the uncertainty challenges from the intermittent renewable energy resources. In this paper, a stochastic multi-period multi-objective transmission planning (MPMOTP) model is proposed to reduce correlated uncertainties from renewable energy generation, conventional generation, demand-side variations, market price volatility, and transmission configuration. Three objectives, i.e. social CO 2 reduction benefit, energy purchase and network expansion cost and power delivery profit, are optimized simultaneously by a developed two-phase multi-objective particle swarm optimization (MOPSO) method. The feasibility and effectiveness of the proposed uncertainty-averse MPMOTP model have been verified by the IEEE 24-bus test system.

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Pareto optimality-based multi-objective transmission planning considering transmission congestion

Cited by 46 publications

References 11 publications

MOPSO-based multi-objective TSO planning considering uncertainties

MOPSO-based multi-objective TSO planning considering uncertainties

Transmission expansion planning considering multiple generation scenarios and demand uncertainty

Uncertainty-averse TRANSCO planning for accommodating renewable energy in CO2 reduction environment

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