A Study on Optimal Reliability Criterion Determination for Transmission System Expansion Planning

Tran Trungtinh,Choi Jae-Seok,Jeon Dong-Hoon,Chu Jin-Boo,Thomas Robert,Billinton Roy The Korean Institute of Electrical Engineers 2005 KIEE International Transactions on Power Engineeri Vol.a5 No.1

The optimal design of transmission system expansion planning is an important part of the overall planning task of electric power system under competitive electricity market environments. One of main keys of the successful grid expansion planning comes from optimal reliability level/criteria decision, which should be given for constraint in the optimal expansion problem. However, it's very difficult to decide logically the optimal reliability criteria of a transmission system as well as generation system expansion planning in a society. This paper approaches a methodology for deciding the optimal reliability criteria for an optimal transmission system expansion planning. A deterministic reliability criteria, BRR (Bus Reserve Rate) is used in this study. The optimal reliability criteria, BRR/sup */, is decided at minimum cost point of total cost curve which is the sum of the utility cost associated with construction cost and the customer outage cost associated with supply interruptions for load considering bus reserve rate at load buses in long term forecasting. The characteristics and effectiveness of this methodology are illustrated by the case study using IEEE-RTS.

Market-Based Transmission Expansion Planning Under Uncertainty in Bids by Fuzzy Assessment

Gholam-Reza Kamyab,Mahmood Fotuhi-Firuzabad,Masoud Rashidinejad 대한전기학회 2012 Journal of Electrical Engineering & Technology Vol.7 No.4

In this paper, by a simple example it is shown that existing market-based criteria alone cannot completely and correctly evaluate the transmission network expansion from market view. However criteria congestion cost (CC) and social welfare (SW) together are able to correctly evaluate transmission network from market view and so they are adopted for the market-based transmission expansion planning. To simply indicate the limits of CC and SW social welfare percentage (SWP) and congestion cost percentage (CCP) are defined. To consider uncertainty in bids of market producers and consumers, and also indeterminacy in the acceptable boundaries of the SWP and CCP and their priorities, fuzzy assessment approach is used. In this approach, appropriate fuzzy sets and a fuzzy rule base are provided to evaluate the acceptability of an expansion plan. Then, the least-investment cost plan, which is acceptable in all probable scenarios, is searched. The proposed method is applied to an 8-bus system.

Market Power-Constrained Transmission Expansion Planning Using Bi-Level Optimization

El-Meligy Mohammed A.,El-Sherbeeny Ahmed M.,Mahmoud Haitham A. 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1

Market power evaluation must be a primary concern when deciding to expand a transmission network in a restructured electricity grid since a well-designated transmission network can efectively mitigate market power. In this regard, a scenariodriven transmission expansion planning model is proposed to fnd the least-cost solution for optimal transmission grid confguration considering market power in the electricity market. The presented methodology is formulated as a stochastic bi-level optimization problem. The upper level identifes the optimal expansion plan and generation output under uncertainty in renewable energy sources and electric demand. Given the optimal expansion strategy obtained from the upper level, the lower level computes the expanded power system's transmission-constrained structural market power measure. Within this bi-level framework, the planner can mitigate market power exerted by generation units to avoid consumer overpayment. The Karush–Kuhn–Tucker conditions are used to form a mixed-integer linear programming problem, which can be efectively solved by branch-and-cut solvers. The modifed IEEE 118-bus power system is used to corroborate the efectiveness of the bi-level structure of the market power-constrained transmission expansion planning model.

Market-Based Transmission Expansion Planning Under Uncertainty in Bids by Fuzzy Assessment

Kamyab, Gholam-Reza,Fotuhi-Firuzabad, Mahmood,Rashidinejad, Masoud The Korean Institute of Electrical Engineers 2012 Journal of Electrical Engineering & Technology Vol.7 No.4

In this paper, by a simple example it is shown that existing market-based criteria alone cannot completely and correctly evaluate the transmission network expansion from market view. However criteria congestion cost (CC) and social welfare (SW) together are able to correctly evaluate transmission network from market view and so they are adopted for the market-based transmission expansion planning. To simply indicate the limits of CC and SW social welfare percentage (SWP) and congestion cost percentage (CCP) are defined. To consider uncertainty in bids of market producers and consumers, and also indeterminacy in the acceptable boundaries of the SWP and CCP and their priorities, fuzzy assessment approach is used. In this approach, appropriate fuzzy sets and a fuzzy rule base are provided to evaluate the acceptability of an expansion plan. Then, the least-investment cost plan, which is acceptable in all probable scenarios, is searched. The proposed method is applied to an 8-bus system.

A Study on Transmission System Expansion Planning on the Side of Highest Satisfaction Level of Decision Maker

Tran TrungTinh,Kang Sung-Rok,Choi Jae-Seok,Billinton Roy,El-keib A. A. The Korean Institute of Electrical Engineers 2005 KIEE International Transactions on Power Engineeri Vol.a5 No.1

This paper proposes a new method for choice of the best transmission system expansion plan on the side of highest satisfaction level of decision maker using fuzzy integer programming. The proposed method considers the permissibility and ambiguity of the investment budget (economics) for constructing the new transmission lines and the delivery marginal rate (reliability criteria) of the system by modeling the transmission expansion problem as a fuzzy integer programming one. It solves the optimal strategy (reasonable as well as flexible) using a fuzzy set theory-based on branch and bound method that utilizes a network flow approach and the maximum flow-minimum cut set theorem. Under no or only a very small database for the evaluation of reliability indices, the proposed technique provides the decision maker with a valuable and practical tool to solve the transmission expansion problem considering problem uncertainties. Test results on the 63-bus test system show that the proposed method is practical and efficiently applicable to transmission expansion planning.

Cross-Entropy를 이용한 전력계통계획의 확률적 기법 연구

이재희(Jaehee Lee),주성관(Sung-Kwan Joo) 대한전기학회 2009 전기학회논문지 Vol.58 No.11

Transmission planning is an important part of power system planning to meet an increasing demand for electricity. The objective of transmission expansion is to minimize operational and construction costs subject to system constraints. There is inherent uncertainty in transmission planning due to errors in forecasted demand and fuel costs. Therefore, transmission planning process is not reliable if the uncertainty is not taken into account. The paper presents a systematic method to find the optimal location and amount of transmission expansion using Cross-Entropy (CE) incorporating uncertainties about future power system conditions. Numerical results are presented to demonstrate the performance of the proposed method.

발ㆍ송전설비 통합성을 고려한 전력계통계획 전산모형 프로그램 개발

허돈(Don Hur),정해성(Hae-Sung Jung),유헌수(Heon-Su Ryu),조강욱(Kang-Wook Cho) 한국조명·전기설비학회 2010 조명·전기설비학회논문지 Vol.24 No.2

본 논문에서 제안하는 전력계통계획 방법론은 계통계획이 신규 자원의 수익에 영향을 미칠 수 있다는 인식 하에 발전 및 송전 투자 결정에 관한 상호 작용을 반영하고, 이것으로 인하여 설비 투자자 및 전력계통계획자의 목적을 동시에 고려할 수 있게 된다. 이러한 관점에서 본 논문은 혼합정수계획 모형에 기초한 전력계통계획 전산모형 프로그램을 개발하고자 한다. 이 소프트웨어는 설비예비율, 발전원별 비율, 순동예비력 양, 에너지 및 연료제약 조건, 송전선로 사고 및 손실, 파이 분기 등의 기술적 제약조건을 만족하면서 신규 발전설비, 송전선로, 변전소의 용량뿐만 아니라 건설 시기와 장소를 결정하도록 설계되어 있다. 최종적으로 간단한 Garver 계통을 통하여 본 논문에서 제안된 전산모형 프로그램의 정확성 및 효율성을 검증하고자 한다. The transmission valuation methodology we propose here captures the interaction between generation and transmission investment decisions recognizing that a transmission expansion can impact the profitability of new resources investment, so that a methodology should consider both the objectives of investors in resources and the transmission planner. In this perspective, this paper purports to develop the mixed-integer programming based transmission expansion planning optimization software, which is well designed to determine the construction time and place of new generators, transmission lines, and substations as well as their capacities to minimize total expenditures related to their investment and operations while meeting technical constraints such as capacity margin, constitution ratio of power resources, spinning reserves, energy and fuel constraints, transmission line outages and losses, pi-type branching, and so on. Finally, Garver's simple system is adopted to validate not simply the accuracy but the efficiency of the proposed model in this paper.

Transmission Expansion and Reactive Power Planning Considering Wind Energy Investment Using A Linearized AC Model

Abolfazl Arabpour,Mohammad Reza Besmi,Pouria Maghouli 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.3

This paper presents an approximated AC model for simultaneous transmission expansion planning (TEP) and reactive power planning by considering wind power investment. Since the full AC-TEP problem is still challenging to solve due to its nonconvexity, a linearized model, by means of special ordered set of type 2, is used to represent the mathematical model of the network. The objective function of our problem is considered to be the annualized investment cost of transmission lines, reactive power resources and wind power plants as well as the operation cost of production of electricity and reactive power resources. Wind and load uncertainties are handled by scenario generation. The K-means clustering technique is employed in order to reduce the number of scenarios. The presented work is applied to the 6-bus Garver’s power system, the 24-bus IEEE RTS and the 118-bus IEEE power system. These three diff erent examples illustrate the characteristics of the method. The results and the provided discussions clearly show the eff ectiveness and robustness as well as the computational effi ciency of the proposed stochastic co-planning framework.

전력시장 불확실성을 고려한 최적 송전시스템 확장계획

孫旼均(Min-Kyun Son),金?吾(Jin-O Kim) 대한전기학회 2008 전기학회논문지 Vol.57 No.4

Today, as the power trades between generation companies and power customer are liberalized, the uncertainty level of operated power system is rapidly increased. Therefore, transmission operators as decision makers for transmission expansion are required to establish a deliberate investment plan for effective operations of transmission facilities considering forecasted conditions of power system. This paper proposes the methodology for the optimal solution of transmission expansion in deregulated power system. The paper obtains the expected value of transmission congestion cost for various scenarios by using occurrence probability. In addition, the paper assumes that increasing rates of loads are the probability distribution and indicates the location of expanded transmission line, the time for transmission expansion with the minimum cost for the future by performing the Montecarlo simulation. To minimize the investment risk as the variance of the congestion cost, Mean-Variance Markowitz portfolio theory is applied to the optimization model by the penalty factor of the variance. By the case study, the optimal solution for transmission expansion plan considering the feature of market participants is obtained.

Optimal Transmission Expansion Planning Considering the Uncertainties of the Power Market

In-Su Bae,Min-Kyun Son,Jin-O Kim 대한전기학회 2010 Journal of Electrical Engineering & Technology Vol.5 No.2

Today, as power trades between generators and loads are liberalized, the uncertainty level of power systems is rapidly increasing. Therefore, transmission operators are required to incorporate these uncertainties when establishing an investment plan for effective operation of transmission facilities. This paper proposes the methodology for an optimal solution of transmission expansion plans for the long-term in a deregulated power system. The proposed model uses the probabilistic cost of transmission congestion for various scenarios and the annual increasing rates of loads. The locations and the installation times of expanded transmissions lines with minimum cost are acquired by the model. To minimize the investment risk, the Mean-Variance Markowitz portfolio theory is applied to the model. In a case study, the optimal solution of a transmission expansion plan is obtained considering the uncertain power market.