Assessing Reliability as the Electric Power Industry Restructures

Ilić, Marija; Arce, J.R.; Yoon, Yong Tae; Fumagalli, Elena

doi:10.1016/s1040-6190(01)00170-1

Cited by 17 publications

(4 citation statements)

References 3 publications

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“…1, 2, , are the maximum values of real and reactive power output of th i generating unit. The generating units are operated at the minimum to a maximum range, which is given in the equations (4) and (5). The limited condition provides the stable operation of the generating units.…”

Section: Equality and Inequality Constraintsmentioning

confidence: 99%

“…Electric power systems can be divided into two sub-systems, namely, transmission systems and distribution systems [2]. The main process of a transmission system is to transfer electric power from electric generators to the customer area, whereas a distribution system provides an ultimate link between high voltage transmission systems and consumer service [5]. In an electric power system operation, the objective is to achieve the most economical generation policy that could supply the local load demands without violating constraints [6] [7].…”

Section: Introductionmentioning

confidence: 99%

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Development of Hybrid Algorithm Based on PSO and NN to Solve Economic Emission Dispatch Problem

Rose¹,

Selvi²,

Singh³

2016

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The electric power generation system has always the significant location in the power system, and it should have an efficient and economic operation. This consists of the generating unit's allocation with minimum fuel cost and also considers the emission cost. In this paper we have intended to propose a hybrid technique to optimize the economic and emission dispatch problem in power system. The hybrid technique is used to minimize the cost function of generating units and emission cost by balancing the total load demand and to decrease the power loss. This proposed technique employs Particle Swarm Optimization (PSO) and Neural Network (NN). PSO is one of the computational techniques that use a searching process to obtain an optimal solution and neural network is used to predict the load demand. Prior to performing this, the neural network training method is used to train all the generating power with respect to the load demand. The economic and emission dispatch problem will be solved by the optimized generating power and predicted load demand. The proposed hybrid intelligent technique is implemented in MATLAB platform and its performance is evaluated.

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Section: Equality and Inequality Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of Hybrid Algorithm Based on PSO and NN to Solve Economic Emission Dispatch Problem

Rose¹,

Selvi²,

Singh³

2016

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“…We consider a scenario where the electricity is supplied by a combination of solar photovoltaic (PV) cells, wind turbines, and base diesel generation. With these resources, we address the following design questions: Given information about typical demand and generation profiles over certain periods of time, what are the appropriate amounts of each resource and energy storage capacity needed to ensure a certain level of reliable operation [13], e.g., that the probability of load-shedding is smaller than a prespecified threshold and the long-term expected fraction of time spent at load-shedding is sufficiently small?…”

Section: Introductionmentioning

confidence: 99%

Load-shedding probabilities with hybrid renewable power generation and energy storage

Topcu

Low

et al. 2010

2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

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Abstract-The integration of renewable energy resources, such as solar and wind power, into the electric grid presents challengs partly due to the intermittency in the power output. These difficulties can be alleviated by effectively utilizing energy storage. We consider, as a case study, the integration of renewable resources into the electric power generation portfolio of an island off the coast of Southern California, Santa Catalina Island, and investigate the feasibility of replacing diesel generation entirely with solar photovoltaics (PV) and wind turbines, supplemented with energy storage. We use a simple storage model alongside a combination of renewables and varying load-shedding characterizations to determine the appropriate area of PV cells, number of wind turbines, and energy storage capacity needed to stay below a certain threshold probability for load-shedding over a pre-specified period of time and long-term expected fraction of time at load-shedding.

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“…Moreover, we point out that it is extremely helpful to think of reliability primarily as a risk taking and management process since one deals with the problem of ensuring uninterrupted service despite unexpected changes [4]. In an industry structure characterized by a full corporate unbundling of generation, transmission and distribution, responsibilities for risk taking have to be clearly defined through a type of contractual agreements between entities.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the ex-ante and ex-post methods for short-term reliability management

Arce¹,

Garcés²,

Ilić³

2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309)

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In this paper we compare the performance of two recently proposed methods for managing short-term reliability.First, we review the short-term reliability related risks associated with the possibility of transmission failures, which are measured through the probability of several scenarios and the respective consequences on some market participants. The load curtailment is used to evaluate the impact of failures on the customers.Second, we discuss two recently proposed methods for market-based reserve allocation, an exante and an ex-post considering explicitly reliability requirements specified by the demand.Finally, we compare both methods in a test system where we show that they allocate reserve fulfilling pre-specified reliability requirements. The difference is in the amount of reserve allocated but not in the reliability level obtained. Moreover, the two methods differ with regard to stability of the electricity prices in presence of contingencies and the cost associated with different amounts of reserve.

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Assessing Reliability as the Electric Power Industry Restructures

Cited by 17 publications

References 3 publications

Development of Hybrid Algorithm Based on PSO and NN to Solve Economic Emission Dispatch Problem

Development of Hybrid Algorithm Based on PSO and NN to Solve Economic Emission Dispatch Problem

Load-shedding probabilities with hybrid renewable power generation and energy storage

Comparison of the ex-ante and ex-post methods for short-term reliability management

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