254 results found
De Paola A, Angeli D, Strbac G, 2018, Integration of Price-Responsive Appliances in the Energy Market Through Flexible Demand Saturation, IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, Vol: 5, Pages: 154-166, ISSN: 2325-5870
De Paola A, Papadaskalopoulos D, Angeli D, et al., 2018, Investigating the Social Efficiency of Merchant Transmission Planning through a Non-Cooperative Game-Theoretic Framework, IEEE Transactions on Power Systems, ISSN: 0885-8950
IEEE Merchant transmission planning is considered as a further step towards the full liberalization of the electricity industry. However, previous modeling approaches do not comprehensively explore its social efficiency as they cannot effectively deal with a large number of merchant companies. This paper addresses this fundamental challenge by adopting a novel non-cooperative game-theoretic approach. Specifically, the number of merchant companies is assumed sufficiently large to be approximated as a continuum. This allows the derivation of mathematical conditions for the existence of a Nash Equilibrium solution of the merchant planning game. By analytically and numerically comparing this solution against the one obtained through the traditional centralized planning approach, the paper demonstrates that merchant planning can maximize social welfare only when the following conditions are satisfied: a) fixed investment costs are neglected and b) the network is radial and does not include any loops. Given that these conditions do not generally hold in reality, these findings suggest that even a fully competitive merchant transmission planning framework, involving the participation of a very large number of competing merchant companies, is not generally capable of maximizing social welfare.
Giannelos S, Konstantelos I, Strbac G, 2018, Option Value of Demand-Side Response schemes under Decision-Dependent Uncertainty, IEEE Transactions on Power Systems, ISSN: 0885-8950
IEEE Uncertainty in power system planning problems can be categorized into two types: exogenous and endogenous (or decision-dependent) uncertainty. In the latter case, uncertainty resolution depends on a choice (the value of some decision variables), as opposed to the former case in which the uncertainty resolves automatically with the passage of time. In this paper a novel stochastic multi-stage planning model is proposed that considers endogenous uncertainty around consumer participation in demand-side response (DSR) schemes. This uncertainty can resolve following DSR deployment in two possible ways: locally (at a single bus) and globally (across the entire system). The original formulation is decomposed with the use of Benders decomposition to improve computational performance. Two versions of Benders decomposition are applied: the classic version involving sequential implementation of all operational subproblems and a novel version, specific to problems with endogenous uncertainty, which allows for the parallel execution of only those operational subproblems that are guaranteed to have a unique contribution to the solution. Case studies on 11-bus and 123-bus systems illustrate the process of endogenous uncertainty resolution and underline the strategic importance of deploying DSR ahead of time.
McKenna R, Djapic P, Weinand J, et al., 2018, Assessing the implications of socioeconomic diversity for low carbon technology uptake in electrical distribution networks, APPLIED ENERGY, Vol: 210, Pages: 856-869, ISSN: 0306-2619
Moreira A, Fanzeres B, Strbac G, 2018, Energy and reserve scheduling under ambiguity on renewable probability distribution, ELECTRIC POWER SYSTEMS RESEARCH, Vol: 160, Pages: 205-218, ISSN: 0378-7796
Moreira A, Strbac G, Moreno R, et al., 2018, A Five-Level MILP Model for Flexible Transmission Network Planning Under Uncertainty: A Min-Max Regret Approach, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 33, Pages: 486-501, ISSN: 0885-8950
Papadaskalopoulos D, Moreira R, Strbac G, et al., 2018, Quantifying the Potential Economic Benefits of Flexible Industrial Demand in the European Power System, IEEE Transactions on Industrial Informatics, ISSN: 1551-3203
IEEE The envisaged decarbonization of the European power system introduces complex techno-economic challenges to its operation and development. Demand flexibility can significantly contribute in addressing these challenges and enable a cost-effective transition to the low-carbon future. Although extensive previous work has analyzed the impacts of residential and commercial demand flexibility, the respective potential of the industrial sector has not yet been thoroughly investigated despite its large size. This paper presents a novel, whole-system modeling framework to comprehensively quantify the potential economic benefits of flexible industrial demand (FID) for the European power system. This framework considers generation, transmission and distribution sectors of the system, and determines the least-cost long-term investment and short-term operation decisions. FID is represented through a generic, process-agnostic model, which however accounts for fixed energy requirements and load recovery effects associated with industrial processes. The numerical studies demonstrate multiple significant value streams of FID in Europe, including capital cost savings by avoiding investments in additional generation and transmission capacity and distribution reinforcements, as well as operating cost savings by enabling higher utilization of renewable generation sources and providing balancing services.
Rodrigues T, Ramirez PJ, Strbac G, 2018, Risk-averse bidding of energy and spinning reserve by wind farms with on-site energy storage, IET RENEWABLE POWER GENERATION, Vol: 12, Pages: 165-173, ISSN: 1752-1416
Sun M, Teng F, Konstantelos I, et al., 2018, An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources, ENERGY, Vol: 145, Pages: 871-885, ISSN: 0360-5442
Teng F, Dupin R, Michiorri A, et al., 2018, Understanding the Benefits of Dynamic Line Rating Under Multiple Sources of Uncertainty, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 33, Pages: 3306-3314, ISSN: 0885-8950
Teng F, Pudjianto D, Aunedi M, et al., 2018, Assessment of Future Whole-System Value of Large-Scale Pumped Storage Plants in Europe, ENERGIES, Vol: 11, ISSN: 1996-1073
Ameli H, Abbasi E, Ameli MT, et al., 2017, A fuzzy-logic-based control methodology for secure operation of a microgrid in interconnected and isolated modes, INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, Vol: 27, ISSN: 2050-7038
Ameli H, Qadrdan M, Strbac G, 2017, Value of gas network infrastructure flexibility in supporting cost effective operation of power systems, APPLIED ENERGY, Vol: 202, Pages: 571-580, ISSN: 0306-2619
Chilvers J, Foxon TJ, Galloway S, et al., 2017, Realising transition pathways for a more electric, low-carbon energy system in the United Kingdom: Challenges, insights and opportunities, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, Vol: 231, Pages: 440-477, ISSN: 0957-6509
De Paola A, Angeli D, Strbac G, 2017, Price-Based Schemes for Distributed Coordination of Flexible Demand in the Electricity Market, IEEE TRANSACTIONS ON SMART GRID, Vol: 8, Pages: 3104-3116, ISSN: 1949-3053
De Paola A, Angeli D, Strbac G, 2017, Distributed schemes for efficient deployment of price-responsive demand with partial flexibility, Journal of Control and Decision, Pages: 1-26, ISSN: 2330-7706
De Paola A, Angeli D, Strbac G, 2017, A Semi-Decentralized Scheme for Integration of Price-Responsive Appliances in the Electricity Market, 20th World Congress of the International-Federation-of-Automatic-Control (IFAC), Publisher: ELSEVIER SCIENCE BV, Pages: 6729-6736, ISSN: 2405-8963
De Paola A, Angeli D, Strbac G, 2017, Convergence and optimality of a new iterative price-based scheme for distributed coordination of flexible loads in the electricity market, IEEE 56th Annual Conference on Decision and Control (CDC), Publisher: IEEE, ISSN: 0743-1546
De Paola A, Angeli D, Strbac G, 2017, On Distributed Scheduling of Flexible Demand and Nash Equilibria in the Electricity Market, Dynamic Games and Applications, ISSN: 2153-0785
Falugi P, Konstantelos I, Strbac G, 2017, Planning with Multiple Transmission and Storage Investment Options under Uncertainty: A Nested Decomposition Approach, IEEE Transactions on Power Systems, ISSN: 0885-8950
IEEE Achieving the ambitious climate change mitigation objectives set by governments worldwide is bound to lead to unprecedented amounts of network investment to accommodate low-carbon sources of energy. Beyond investing in conventional transmission lines, new technologies such as energy storage can improve operational flexibility and assist with the cost-effective integration of renewables. Given the long lifetime of these network assets and their substantial capital cost, it is imperative to decide on their deployment on a long-term cost-benefit basis. However, such an analysis can result in large-scale Mixed Integer Linear Programming (MILP) problems which contain many thousands of continuous and binary variables. Complexity is severely exacerbated by the need to accommodate multiple candidate assets and consider a wide range of exogenous system development scenarios that may occur. In this manuscript we propose a novel, efficient and highly-generalizable framework for solving large-scale planning problems under uncertainty by using a temporal decomposition scheme based on the principles of Nested Benders. The challenges that arise due to the presence of non-sequential investment state equations and sub-problem non-convexity are highlighted and tackled. The substantial computational gains of the proposed method are demonstrated via a case study on the IEEE 118 bus test system that involve planning of multiple transmission and storage assets under long-term uncertainty.
Fatouros P, Konstantelos I, Papadaskalopoulos D, et al., 2017, A Stochastic Dual Dynamic Programming Approach for Optimal Operation of DER Aggregators, IEEE Manchester PowerTech, Publisher: IEEE
Fatouros P, Konstantelos I, Papadaskalopoulos D, et al., 2017, Stochastic Dual Dynamic Programming for Operation of DER Aggregators under Multidimensional Uncertainty, IEEE Transactions on Sustainable Energy, Pages: 1-1, ISSN: 1949-3029
Fong G, Moreira R, Strbac G, 2017, Economic Analysis of Energy Storage Business Models, IEEE Manchester PowerTech, Publisher: IEEE
Giannelos S, Konstantelos I, Strbac G, 2017, A New Class of Planning Models for Option Valuation of Storage Technologies under Decision-Dependent Innovation Uncertainty, Publisher: IEEE
Konstantelos I, Giannelos S, Strbac G, 2017, Strategic Valuation of Smart Grid Technology Options in Distribution Networks, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 32, Pages: 1293-1303, ISSN: 0885-8950
Konstantelos I, Jamgotchian G, Tindemans SH, et al., 2017, Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids, IEEE TRANSACTIONS ON SMART GRID, Vol: 8, Pages: 1417-1426, ISSN: 1949-3053
Konstantelos I, Moreno R, Strbac G, 2017, Coordination and uncertainty in strategic network investment: Case on the North Seas Grid, ENERGY ECONOMICS, Vol: 64, Pages: 131-148, ISSN: 0140-9883
Konstantelos I, Pudjianto D, Strbac G, et al., 2017, Integrated North Sea grids: The costs, the benefits and their distribution between countries, ENERGY POLICY, Vol: 101, Pages: 28-41, ISSN: 0301-4215
Mohtashami S, Pudjianto D, Strbac G, 2017, Strategic Distribution Network Planning With Smart Grid Technologies, IEEE TRANSACTIONS ON SMART GRID, Vol: 8, Pages: 2656-2664, ISSN: 1949-3053
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