A hybrid robust-stochastic approach for strategic scheduling of a multi-energy system as a price-maker player in day-ahead wholesale market

Energy ◽  
2021 ◽  
pp. 121398
Author(s):  
Nima Nasiri ◽  
Saeed Zeynali ◽  
Sajad Najafi Ravadanegh ◽  
Mousa Marzband
Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6872
Author(s):  
Christoph Schick ◽  
Nikolai Klempp ◽  
Kai Hufendiek

The transformation of our energy system toward zero net CO2 emissions correlates with a stronger use of low energy density renewable energy sources (RES), such as photovoltaic (PV) energy. As a source of flexibility, distributed PV systems, in particular, are oftentimes installed in combination with battery storage systems. These storage systems are dispatchable, i.e., controllable by the operating owners, who can thereby take over an active market role as energy prosumers. The particular battery operation modes are based on the individual prosumer decisions, which, in turn, are strongly affected by the regulatory framework in place. Regulatory frameworks differ from country to country, but almost all regulatory frameworks feature a network charge mechanism, which allocates network infrastructure and operating costs to the end customers. This raises the question of the extent to which different network charges lead to different prosumer decisions, i.e., battery operation modes, and thus different energy system configurations (system costs). In order to evaluate this question we apply (a) a fundamental linear optimization model of the energy wholesale market, which we stringently link to (b) an analysis of peak-coincident network capacity utilization as well as (c) an evaluation of the complete costs of energy for prosumers and consumers. This stringent cycle of analysis is applied to two prototypical network allocation schemes. We demonstrate that network allocation schemes that are orientated to peak-coincident network capacity utilization could both better incentivize a distribution network-oriented behaviour and better share financial burdens between prosuming and purely consuming households than would be the case for volumetric network charge designs. This paper further demonstrates that network-oriented battery operation does not, per se, result in optimal RES integration at the wholesale market level and CO2 emissions reduction. To identify effects from increasing sector integration, an analysis is both performed for a setting without and with consideration of widespread e-mobility. As a broader conclusion, our results demonstrate that future regulatory frameworks should have a stronger focus on prosumer integration by means, among other things, of an adequate network charge design reflecting the increasingly distributed nature of our future energy system.


Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 54-66
Author(s):  
Sergey S. Beloborodov ◽  
◽  
Aleksey A. Dudolin ◽  

Given the climatic and geographical conditions of the Russian Federation, the development of cogeneration should become the main line of measures aimed at increasing the energy efficiency and reducing greenhouse gas emissions in the country. However, the implementation of programs for development of renewable energy sources (RES) and nuclear power plants (NPP) entails risks of decreasing the amount of combined generation of electricity and heat by combined heat and power plants (CHPP) in the daily load curve base part. The current state of the wholesale market of electric power is characterized by critical conditions for the existing CHPPs in the first price zone of the wholesale market. The electric power cost formed from competitive power bid (CPB) results is such that the incomes earned by heat generating facilities are insufficient for fully covering the costs of their overhauls and modernization of their equipment. The “old” heat generation facilities, including CHPPs, subsidize the development of combined cycle power plants (CCPPs), RES, hydroelectric power plants (HPPs), and NPPs. The Russian Federation energy system development projects must be elaborated taking into account the results from a multivariate analysis of operational, technical, technological, economic, environmental, and social aspects. The heat supply schemes for cities and municipalities are developed subject to ensuring the preset level of reliability with minimizing its cost for the end customer. The minimum cost of heat supply can only be achieved for the optimal structure of heat and electricity generation capacities. This structure must incorporate equipment able to operate in the base, semi-peak, and peak parts of the daily electric load curve, and provide a power margin for passing seasonal maximums in the consumption of electricity and heat. The main milestones of the establishment and evolution of the energy system of Russia are considered. The main trends are shown along with the problems that have arisen in the operation of cogeneration power facilities in connection with the influence of new energy sources. The experience gained in leading foreign countries that have introduced RES is analyzed, and the influence of these sources on the power system balance is studied. The prospects of using combined electricity and heat generating facilities represented by highly maneuverable small- and medium-capacity gas turbine-based CHPPs in the semi-peak and peak parts of the daily electric load curve are analyzed.


2020 ◽  
Author(s):  
Carlo Schmitt ◽  
Kenneth Samaan ◽  
Henrik Schwaeppe ◽  
Albert Moser

The energy system decarbonization and decentralization<br>require coordination schemes for distributed generators<br>and flexibilities. One coordination approach is local energy markets for trading energy among local producers and consumers. The resulting local coordination leads to the questions of how the interaction between local and wholesale markets will be designed and of how the introduction of local energy markets influences the wholesale market system. Therefore, this paper proposes a bottom-up modeling method for local markets within a pan- European wholesale market model. Furthermore, an aggregation-disaggregation method for local markets is developed to reduce computational effort. A case study for local markets in Germany shows the computational advantages of the aggregation-disaggregation method. Preliminary results indicate the impact of different interaction designs between local and wholesale markets on the wholesale market and show the need for further research.


Author(s):  
Susobhan Ghosh ◽  
Easwar Subramanian ◽  
Sanjay P. Bhat ◽  
Sujit Gujar ◽  
Praveen Paruchuri

A smart grid is an efficient and sustainable energy system that integrates diverse generation entities, distributed storage capacity, and smart appliances and buildings. A smart grid brings new kinds of participants in the energy market served by it, whose effect on the grid can only be determined through high fidelity simulations. Power TAC offers one such simulation platform using real-world weather data and complex state-of-the-art customer models. In Power TAC, autonomous energy brokers compete to make profits across tariff, wholesale and balancing markets while maintaining the stability of the grid. In this paper, we design an autonomous broker VidyutVanika, the runner-up in the 2018 Power TAC competition. VidyutVanika relies on reinforcement learning (RL) in the tariff market and dynamic programming in the wholesale market to solve modified versions of known Markov Decision Process (MDP) formulations in the respective markets. The novelty lies in defining the reward functions for MDPs, solving these MDPs, and the application of these solutions to real actions in the market. Unlike previous participating agents, VidyutVanika uses a neural network to predict the energy consumption of various customers using weather data. We use several heuristic ideas to bridge the gap between the restricted action spaces of the MDPs and the much more extensive action space available to VidyutVanika. These heuristics allow VidyutVanika to convert near-optimal fixed tariffs to time-of-use tariffs aimed at mitigating transmission capacity fees, spread out its orders across several auctions in the wholesale market to procure energy at a lower price, more accurately estimate parameters required for implementing the MDP solution in the wholesale market, and account for wholesale procurement costs while optimizing tariffs. We use Power TAC 2018 tournament data and controlled experiments to analyze the performance of VidyutVanika, and illustrate the efficacy of the above strategies.


2020 ◽  
Author(s):  
Carlo Schmitt ◽  
Kenneth Samaan ◽  
Henrik Schwaeppe ◽  
Albert Moser

The energy system decarbonization and decentralization<br>require coordination schemes for distributed generators<br>and flexibilities. One coordination approach is local energy markets for trading energy among local producers and consumers. The resulting local coordination leads to the questions of how the interaction between local and wholesale markets will be designed and of how the introduction of local energy markets influences the wholesale market system. Therefore, this paper proposes a bottom-up modeling method for local markets within a pan- European wholesale market model. Furthermore, an aggregation-disaggregation method for local markets is developed to reduce computational effort. A case study for local markets in Germany shows the computational advantages of the aggregation-disaggregation method. Preliminary results indicate the impact of different interaction designs between local and wholesale markets on the wholesale market and show the need for further research.


2021 ◽  
Vol 252 ◽  
pp. 01012
Author(s):  
Runze Liu ◽  
Zhaoxia Jing

The world’s energy system is undergoing an evolution from high-carbon to low-carbon. The Chinese government has also proposed the carbon neutral plan. Foreign practical experience shows that there is an interaction between the carbon market and the electricity market, therefore, understanding the relationship between the two markets is essential to ensure the efficient operation of both markets. In the context of China's power market reform, this paper studies the impact of introducing carbon prices into the wholesale market, and conducts a case study based on the data of a certain area in GD province. The results show that after the carbon price is transmitted to the electricity price, the more low-carbon and environmentally friendly power generation technologies will gain greater advantages in the electricity market, which is conducive to the clean energy transformation of the power system. Finally, this paper puts forward feasible suggestions for the reform of the electricity market under China’s carbon emission reduction target.


2021 ◽  
Vol 2131 (3) ◽  
pp. 032113
Author(s):  
V Z Manusov ◽  
D V Antonenkov ◽  
D V Orlov ◽  
B V Palagushkin

Abstract Modern energy strategies aimed at the development of energy industry presuppose a significant change in the structure of process of formation, transmission, consumption of electrical energy and increasing energy efficiency by introducing modern technologies at all stages. The growth of capacities of industrial enterprises in the conditions of wholesale market of electrical energy and capacity in the modern energy system determines the need for development technologies of predictive control of power consumption process of these enterprises. The introduction of such technologies at the control rooms of the operational management of enterprises will allow to reduce the number of human errors, the number of emergency stops of technological process, increase the reliability of power system mode, rationally manage the process of power consumption of enterprises. In this regard, forecasting the load demand and consumption is an important stage in the functioning and planning of modern power systems. An accurate, correctly compiled forecast is the key to effective management of energy consumption process and reliable operation of the enterprise. Forecasting errors lead to imbalanced supply-demand, which negatively affects operating costs, reliability and efficiency.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 1447-1452
Author(s):  
Vincent Mazauric ◽  
Ariane Millot ◽  
Claude Le Pape-Gardeux ◽  
Nadia Maïzi

To overcome the negative environemental impact of the actual power system, an optimal description of quasi-static electromagnetics relying on a reversible interpretation of the Faraday’s law is given. Due to the overabundance of carbon-free energy sources, this description makes it possible to consider an evolution towards an energy system favoring low-carbon technologies. The management for changing is then explored through a simplified linear-programming problem and an analogy with phase transitions in physics is drawn.


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