به جمع مشترکان مگیران بپیوندید!

تنها با پرداخت 70 هزارتومان حق اشتراک سالانه به متن مقالات دسترسی داشته باشید و 100 مقاله را بدون هزینه دیگری دریافت کنید.

برای پرداخت حق اشتراک اگر عضو هستید وارد شوید در غیر این صورت حساب کاربری جدید ایجاد کنید

عضویت
جستجوی مقالات مرتبط با کلیدواژه

security constrained unit commitment

در نشریات گروه برق
تکرار جستجوی کلیدواژه security constrained unit commitment در نشریات گروه فنی و مهندسی
تکرار جستجوی کلیدواژه security constrained unit commitment در مقالات مجلات علمی
  • رامین شریک آبادی، امیر عبداللهی*، مسعود رشیدی نژاد، مهدی شفیعی
    از جمله مزایای خودروهای برقی، قابلیت ذخیره سازی انبوه آن ها می باشد که می تواند به تغییر سبد تولید ساعتی و کاهش هزینه های بهره برداری مسیله برنامه ریزی مشارکت امنیت مقید واحدهای نیروگاهی (SCUC) کمک کند. از طرفی عدم قطعیت موجود در سیستم قدرت، می تواند منجر به رخداد عدم تعادل در تولید و مصرف و در نتیجه آن بروز خاموشی های غیرقابل پیش بینی گردد. بنابراین مطالعات انعطاف پذیری سیستم قدرت از اهمیت ویژه ای برخوردار گردیده است. در این مقاله، تاثیر حضور خودروهای برقی (V2G) به عنوان منبع پاسخگوی سریع، بر شاخص انعطاف پذیری و هزینه بهره برداری سیستم قدرت بررسی شده است. عدم قطعیت خودروهای برقی با استفاده از روش Z-number مدل گردیده است. در واقع این روش تعداد خودروهای موجود در پارکینگ را به عنوان یک متغیر امکانی و احتمالاتی توصیف می کند. بهبود انعطاف پذیری زمانی معقول است که هزینه بهره برداری در حداقل سطح ممکن قرار گیرد. به همین جهت برای رسیدن به سطح انعطاف پذیری مورد انتظار، مسیله برنامه ریزی مشارکت واحدهای نیروگاهی بطور همزمان با درنظر گرفتن قیود امنیت و انعطاف پذیری حل شده است. تحلیل های عددی حاکی از بهبود سطح انعطاف پذیری با حداقل هزینه بهره برداری می باشد. به منظور نشان دادن اثربخشی روش پیشنهادی از سیستم تست 24 باس IEEE استفاده شده است.
    کلید واژگان: برنامه ریزی مشارکت امنیت مقید واحدهای نیروگاهی، انعطاف پذیری، خودروی برقی، عدم قطعیت، مدل Z-number
    R. Sharikabadi, A. Abdollahi *, M. Rashidinejad, M. Shafiee
    One of the advantages of electric vehicles is their mass storage capability, which can help to change the hourly generation portfolio and reduce the operating costs of the SCUC scheduling problem. On the other hand, the uncertainty in the power system can lead to an imbalance in production and consumption, and as a result, unpredictable blackouts. Therefore, studies of the flexibility of the power system have gained particular importance. In this paper, the effect of Vehicle-to-grid (V2G) on the flexibility index and operating cost of the power system has been investigated as it’s considered a quick response source. The uncertainty of electric vehicles (EVs) has been modeled using the Z-number method. In fact, this method describes the number of v2g capable charging stations in each parking lot as a probabilistic–possibilistic variable. Improving flexibility is reasonable when operating costs are at the lowest possible level. For this reason, in order to reach the expected level of flexibility, the SCUC problem has been solved, considering security and flexibility, and the numerical analysis shows the improvement of the level of flexibility with the minimum cost of operation. In order to demonstrate the effectiveness of the proposed method, the IEEE 24-bus test system has been used.
    Keywords: Security-Constrained Unit Commitment, flexibility, Vehicle-to-grid, uncertainty, Z-number model
  • Mohsen Ramzanzadeh, Meysam Jafari Nokandi *, Taghi Barforoushi, Javad Saebi
    In recent years, concerns about environmental pollutions have risen and in this respect, the power system and transportation section have been introduced as the main sources of their emission. Therefore, renewable energy sources (RESs), predominantly wind generation, can be effective for reducing emissions caused by the power system, and electric vehicles (EVs) can be very useful for decreasing emissions in the transportation section. However, RESs are intermittent and uncertain, and on the other hand, high penetration of EVs into the system can be challenging for power system operation. Consequently, the stochastic behavior of RESs and charging demand of EVs should be considered in the daily operation scheduling of generating units that is known as the unit commitment (UC) problem. In this regard, this paper presents a two-stage stochastic programming model for the security-constrained unit commitment (SCUC) taking into account the effect of EVs penetration and wind power integration into the power system. The effect of EV travels on the demand of busses is modeled in the proposed framework. Moreover, the impact of demand response (DR) programs on the operation cost of the system is considered. The results of simulations in a six-bus test system illustrate that high EVs penetration reduces power system security and increases the system operation cost, but DR programs can compensate for these negative effects. Moreover, the increase in cost in a controlled charging mode can be insignificant.
    Keywords: Demand Response Program, Electric Vehicle, Security-Constrained Unit Commitment, Stochastic programming, Uncertainty
  • Javad Nikoukar *, Majid Khalili

    Due to the ever-growing load, especially peak load, the increase in the capacity of plants is inevitable for the response to this growth. Peak load causes increases in customer costs and vast investments in generating and transmission parts. Therefore, restructuring in the electrical industry, competition in the electrical market and Demand Response Programs (DRPs) are of special importance in power systems. In DRPs, customers in certain periods, such as peak or times when the price is high, decrease self-consumption. It means profit for costumers and prevention of expensive production in peak time for a genera-tion source. Moreover, to decrease the operation cost of network and ever-growing technology significantly, the power sys-tems operators have employed new sources of energy production as well as thermal units, and it has led to the emergence of Electric Vehicles (EVs) technology as a new source of energy production. This paper studies the simultaneous presence of DRPs and EVs to minimize the total operation cost of a network from one hand and from the other to improve the level of system reserve in Unit Commitment (UC) problem with considering the security constraint. Here, the proposed framework is structured as a Mixed Integer Programming (MIP) and solved using CPLEX solver.

    Keywords: Demand Response, Mixed Integer Programming, security constrained unit commitment, electric vehicles
  • Majid Moazzami, Sayed Jamal al, Din Hosseini, Hossein Shahinzadeh, Jalal Moradi
    Recently, the renewable resources such as wind farms assumed more attraction due to their features of being clean, no dependency to any type of fuel and having a low marginal cost. The output power of wind units is dependent on the wind speed which has a volatile and intermittent nature. This fact confronts the solution of unit commitment problem with some challenges when a huge amount of wind resources are penetrated and considerable uncertainties are included in the problem. Moreover, the demand of system has some volatility in comparison with forecasted values. This kind of volatility and stochastic nature is another source of uncertainty in power system. In this paper, thermal and wind units are incorporated and the optimization problem is solved by the employment of proper probability distribution function and Monte Carlo simulation approach for dealing with uncertainties. Afterwards, the optimization problem is solved by the use of the binary form of gray wolf optimization algorithm and the minimized total cost will be obtained. Ultimately, the unit commitment schedule and optimal generation of each unit are determined and the optimization results are compared with the solution of genetic algorithm and particle swarm algorithm.
    Keywords: Security-constrained unit commitment, Wind power plant, Gray wolf optimization algorithm, Uncertainty, Monte-Carlo
  • Mehdi Nikzad, Abouzar Samimi *
    Suitable scheming as well as appropriate pricing of demand response (DR) programs are two important issues being encountered by system operator. Assigning proper values could have effects on creating more incentives and raising customers’ participation level as well as improving technical and economical characteristics of the power system.
    Here, time of use (TOU) as an important scheme of DR is linearly introduced based on the concepts of self and cross price elasticity indices of load demand. In this paper, in order to construct an effective TOU program, a combined optimization model over the operation cost and customers’ benefit is proposed based on the security-constrained unit commitment problem (SCUC). Supplementary constraints are provided at each load point with 24-hour energy consumption requirement along with DR limitations. GAMS software is used to execute the proposed method in which CPLEX solver finds the optimal solution.
    IEEE 24-bus test system has been employed to investigate the different features of the presented method. By varying DR potential in the system, TOU rates are determined and then their impacts on the customers' electricity bill, operation cost, and reserve cost as well as load profile of the system are analyzed. In addition, the effect of network congestion as a technical limitation is studied. The obtained results demonstrate the effectiveness and applicability of the proposed method.
    Keywords: Demand Response, Elasticity Matrix, Security Constrained Unit Commitment, Time of Use Program
  • جمشید آقایی*، امین رحیمی رضایی، محمدرضا کریمی
    مسئله ی برنامه ریزی امنیت-مقید مشارکت واحدها، یکی از وظایف حساس در عملیات سیستم قدرت می باشد که با افزایش چشمگیر تولید انرژی الکتریکی از طریق منابع انرژی تجدید پذیر مانند باد و برنامه های بارهای پاسخگو، با مشکلاتی همچون عدم قطعیت های تولید و بار روبرو می باشد. در این مقاله برای مقابله با این مشکل، برای مسئله ی برنامه ریزی امنیت-مقید مشارکت واحدها یک مدل بهینه سازی استوار دومرحله ای با عدم قطعیت بار و توان تولیدی نیروگاه های بادی ارائه شده است. علاوه بر اینکه از مدل استوار برای حل مشکل عدم قطعیت توان تولیدی باد استفاده شده، دستگاه های ذخیره ساز انرژی نیز برای مدیریت بیشتر این مسئله در نظر گرفته شده است. در مقایسه با برنامه ریزی تصادفی متداول، مدل بهینه سازی استوار عملی تر می باشد زیرا تنها نیاز به یک بازه برای پارامتر دارای عدم قطعیت دارد درحالی که در برنامه ریزی تصادفی به دست آوردن تابع توزیع احتمال پارامتر دارای عدم قطعیت بسیار مشکل است. برای حل مسئله ی برنامه ریزی مشارکت واحدها با استفاده از بهینه سازی استوار که بسیار پیچیده و دشوار می باشد، از تجزیه بندر استفاده شده است که مسئله را به مسئله های کوچک تر تبدیل کرده که این امر باعث کاسته شدن پیچیدگی مسئله می شود، درنتیجه حل آن را ساده تر می کند.
    کلید واژگان: برنامه ریزی امنیت-مقید مشارکت واحدها، بهینه سازی استوار، عدم قطعیت، دستگاه های ذخیره ساز سیستم قدرت، نیروگاه بادی، تجزیه بندر
    Jamshid Aghaei *, Amin Rahimi Rezaei, Mohammadreza Karimi
    Security-Constrained Unit commitment, one of the most critical tasks in electric power system operations, faces new challenges as the supply and demand uncertainty increases dramatically due to the integration of variable generation resources such as wind power generation. To cope with these concerns, we propose a two-stage adaptive robust unit commitment model for the security constrained unit commitment problem in the presence of load and wind uncertainty.   In addition to being robust model to deal with the uncertainty of wind power production, energy storage devices has been considered for further handling of this issue. Compared to the conventional stochastic programming approach, the robust optimization model is more practical because only requires a deterministic uncertainty set , while in stochastic programming to obtain a probability distribution function of parameter uncertainty is very difficult. To resolve the SCUC problem using robust optimization that is very complex and difficult, Benders decomposition algorithm is used to make smaller problems, which makes reduced complexity of the problem, which results in to solve it easier.
    Keywords: Security-constrained unit commitment, robust optimization, Uncertainty, Benders decomposition
نکته
  • نتایج بر اساس تاریخ انتشار مرتب شده‌اند.
  • کلیدواژه مورد نظر شما تنها در فیلد کلیدواژگان مقالات جستجو شده‌است. به منظور حذف نتایج غیر مرتبط، جستجو تنها در مقالات مجلاتی انجام شده که با مجله ماخذ هم موضوع هستند.
  • در صورتی که می‌خواهید جستجو را در همه موضوعات و با شرایط دیگر تکرار کنید به صفحه جستجوی پیشرفته مجلات مراجعه کنید.
درخواست پشتیبانی - گزارش اشکال