1,720,996 research outputs found
New clearing model to mitigate the non-convexity in European day-ahead electricity market
Full text linkNowadays, the payment scheme of European Day-Ahead Market is based on the market clearing price by running the Pan-European Hybrid Electricity Market Integration Algorithm. However, this conventional payment scheme is challenging because of the non-convexity and the short computation time requirement. Thus, the aim of this work is to propose a new clearing model in order to mitigate this challenge. The model is based on make-whole payment mechanism and it includes two major steps: (i) maximizing social welfare and (ii) achieving a Walrasian equilibrium by the “minimum-uplift approach”. The proposed model is validated and investigated by two case studies: one is an artificially created Day-Ahead Market session containing all type of bids encountered in Europe and containing a very large number of bids to stress the algorithm and the other is a reduced, but realistic, model of European market where real data from February to December of 2017 were considered. The tests show a consistent improvement of the numerical performances of the proposed model with respect to the conventional one while the economic performance is not altered, but is slightly improved. Moreover, because the tests are based on real data during a long period of time, the results show that proposed model is very promising for the real application
Optimal self-scheduling for a multi-energy virtual power plant providing energy and reserve services under a holistic market framework
No full textThis paper addresses a self-scheduling model for a multi-energy virtual power plant (MEVPP) to optimize its day ahead energy and reserve schedules considering the participation in joint markets. The coordination of energy and reserve services is realized by developing a holistic market framework. MEVPP trades electric energy in day ahead market and natural gas in natural gas market under the uniform price scheme. MEVPP provides reserve in ancillary service market under the pay-as-bid scheme considering uncertain market clearing prices. Reserve regulations are modeled for the reserve quality provided by MEVPP. MEVPP can sign contracts in capacity market for capacity adequacy. The electricity and natural gas imbalance payments and unsupplied reserve penalty resulting from uncertain PV generation are calculated in real-time. The case studies, based on the practical data from Italian power exchange and transmission system operator, show the economic achievements of MEVPP with multiple markets participation. The advantages of multi-energy coupling in improving flexibility and economic profit are numerically analyzed. MEVPP is proven to be a promising reserve service supplier for TSO. Because through reasonable regulations, the reserve quality of MEVPP can be improved with little impact on its total cost
Resilient operation of distributed resources and electrical networks in a smart city context
No full textCoordinated Scheduling Method of Hydrogen- Integrated Multi-Energy District in Joint Market Mechanism
No full textThis paper proposes a coordinated scheduling method for a hydrogen-integrated multi-energy district (HMED) to realize the effective, profitable, and green operation of HMED. A joint market mechanism including capacity, energy, and ancillary service markets is developed considering the coordination of annual and daily decisions of HMED. A hybrid hydrogen storage system including both daily and seasonal hydrogen storages is modeled to achieve intraday and cross-seasonal peak shaving. It is proved by case studies that the proposed coordinated scheduling method can improve the economy of and the flexibility and capacity adequacy provided by HMED, moreover, it can optimize the integration of hydrogen facilities
Resilient operation of distributed resources and electrical networks in a smart city context
No full textThe alarming number of severe outages that have occurred over the last decades raised the awareness regarding the importance of resilient power systems. As fundamental component of the Smart City concept, the energy infrastructure must adapt to the new challenges in terms of major blackouts, natural or human-caused. In distribution networks, the intentional islanding operation proves itself an efficient solution to maintain the energy supply during emergency conditions, made possibile by the Smart Grid technologies, such as distributed generation and energy storage. However, the limited resources present at the distribution level require a good management strategy, in order to minimize the adverse effectes of a long-term interruption. The scope of this paper is to develop an efficient coordination model of load, generation units and energy storage devices under islanding conditions for a smart distribution network. In this regard, a mixed-integer second-order cone programming (MISOCP) method is approached in order to increase the network resilience based on the unsupplied load minimization, while maintaining proper operational parameters for the IEEE 33-bus test distribution network
SELF-SCHEDULING PROBLEM OF A RENEWABLE COMMUNITY AGGREGATOR TRADING IN ENERGY AND RESERVE MARKETS
No full textTwo-stage coordinated scheduling of hydrogen-integrated multi-energy virtual power plant in joint capacity, energy, and ancillary service markets
No full textWith the emergence of distributed resources (DRs), developing an effective, profitable, and green management method is of great importance. Virtual power plant (VPP) can aggregate various DRs, optimize their schedules, and participate in electricity markets uniformly to earn profit. The optimal scheduling problem in spot market has been widely studied, however, few studies have extended the services of VPP to the long-term scale. This paper proposes a coordinated scheduling method for a multi-energy virtual power plant (MEVPP), considering the integration of hydrogen facilities. A holistic market framework, including capacity market, energy market (EM), and ancillary service market (ASM) is developed jointly for the coordination among the annual capacity schedule, daily energy schedule, and daily reserve schedule of MEVPP. A hybrid hydrogen storage system including daily hydrogen storage and seasonal hydrogen storage is modeled to achieve both intraday and cross-seasonal peak shaving. Stochastic programming is used to tackle the uncertainties and risk management is considered by conditional value at risk. With the help of numerical analysis in case studies, it can be concluded that the proposed coordinated scheduling method can improve the economy of MEVPP. The profit from joint market decreases the total cost by about 52 %. The capacity adequacy and flexibility of MEVPP can be improved by the coordination of capacity and reserve services. The hybrid hydrogen storage system can realize the efficient integration of hydrogen and increase hydrogen production and consumption by about 9 %
Generation Companies Agent-Based Modelling: Application to the Colombian Day-Ahead Market
No full textSeveral Agent-Based Modelling platforms specific for the energy market simulations have been implemented in recent years. However, the methodology to manage the individual plants under the same generation company is not well investigated. This represents a very critical aspect for oligopolistic markets. The aim of this work is to develop an Agent-Based Modelling platform that recreates the coordinated management of different plants of the same generation company with focus on the prevalence of the hydropower plants in the generation park. The model will be used to analyses the Colombian Day-Ahead Electricity market
The role of load models and reactive power support during large frequency transients
No full textThe goal of this work is to study the different dynamic behavior of the Italian electric power system, when subject to large disturbances, in relation to adopted load model and reactive power compensation devices considered for the network. Effectiveness of Defence Plans has already been proved by system Operators, but little attention is paid sometimes to the influence of used models. The adoption of a realistic load model implies a better representation of the system: in particular, the conclusions are that if the load is modeled as dynamic and voltage and frequency dependent, frequency perturbations resulting from the simulated contingencies are less dangerous as compared to more simplified models. Furthermore, the possibility to support voltages at particular buses damps voltage transient consequent to large perturbations and avoids further disconnection of loads, keeping the same security level. The conclusions are supported by tests carried out both on a relatively small portion of the Italian system (Sicily) and on a larger area (central and southern part)
Inertia Estimation of Equivalent Areas by a PMU-Based Approach Following Perturbations
No full textThis paper investigates the problem of inertia estimation of power system equivalent areas by a PMU-based approach. Assuming measurements available on the borders of the area, a reduced model is built based on the data acquired during a perturbation. An iterative method is proposed to calculate the parameters of an equivalent generator, and in particular its inertia. The dynamic behavior of the equivalents are compared with the behavior of the Center of Inertia (COI) of each area, and the equivalent inertia is estimated using a Least Squares approach. Results obtained for a 11-bus, 4 generators test-system are presented and discussed
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