Investigating the Effect of Demand Side Management on the Power System Reliability

Abstract

In electric power systems, the generated power should be equal with the demand and power of network is mainly controlled through generation system. In such operation, the demand is satisfied through changing the generated power and afterward, the safe operation of power system is reached. But IntroductionPower system reliability has always been discussed as an important topic in electric power systems. In this regard, many studies have been carried out to investigate the effects of reliability on the system performance [1-10].Some applications of reliability studies about renewable energies in electric power systems are as follows; Reliability assessment of photovoltaic power systems is presented by [1]. Where, a review of current status and future perspectives is presented. Paper [9] addresses a reliability centered maintenance optimization for power distribution systems. A review on reliability assessment for wind power is presented by [2].In paper [5], an original non-sequential Monte Carlo simulation tool is developed. This tool permits to compute the optimal dispatch of classical (coal, oil, etc.) thermal generation in order to minimize polluting gases (NOx, CO2, etc.) emissions in presence of wind power and under constraints. The proposed solution can be a useful tool for electrical system operators in order to dispatch the polluting thermal units under cost, reliability, emissions, fluctuating wind power and unexpected outages constraints. Some other research works based on the Monte Carlo simulation method have been well reported in [6][7].In paper [11], operating benefits from demand-side load management are evaluated for a Proton Exchange Membrane (PEM) Fuel Cell Power Plant (FCPP). For reliability modeling and evaluation of the PEM FCPP, a state-space generation model for a stand-alone PEM fuel cell that calculates the system availability and the expected energy not supplied (EENS) index has been developed. A systematic technique and detailed computer simulation software for a stand-alone PEM fuel cell station reliability assessment have been built. The suggested technique can be used for practical engineering applications to provide information for standalone FC generating station planning, design, and operation. The simulation results are obtained using the MATLAB software for a 5 kW stand-alone PEM fuel cell that supplies a typical residential house.

Study of PLTMH development planning in sasnek village sawiat district, South Sorong Regency West Papua Province

“…The design of the prototype container is made in two parts in the form of boxes/cabinets, namely [10][11][12][13][14][15]: Block I / Floors 1: Consists of Bak precipitator, Valae control 1, the channel carrier, Valve control 2, like tranquilizers, rapid pipe (penstock), DC 12 Volt alternator dynamo, arduino control system and the motor driver, as well as the height of the sensor measuring circuit water level. Block II / 2: Sump water, aquarium pump engines, Accu, dap pump turbine engines and auxiliary motor.…”

An open source tool for reliability evaluation of distribution system using Monte Carlo simulation

“…MTTF and MTTR are converted into exponential distribution using inverse transform method for performing the simulation procedure [6], [7]. Reliability indices for different systems under certain constraints were computed in an exhaustive manner in references [8]- [10]. Quantification of reliability in terms of cost is performed using reliability worth analysis [11], [12].…”

“…Researchers have introduced numerous innovative methods to efficiently calculate reliability with respect to reliability indices at hierarchical level III [2]- [7]. Importance of reliability evaluation, recent trends in power system evaluation as well as analysis methods are discussed in references [8]- [10]. The significance of optimization of investments made by utilities in order to improve reliability was researched and the outcomes of reliability analysis in terms of cost and worth were addressed using scientific methods by R. Billinton et al [11], [12].…”

A systematic approach to evaluating the influence of demand side management resources on the interarea capacity benefit margin

“…The DSM technique is an efficient method which incorporates the economic benefit with system reliability [24]. The use of DSM resources will improve reliability and mitigate network congestion [25].…”