Active Network Management is a philosophy for the operation of distribution networks with high penetrations of renewable distributed generation. Technologies such as energy storage and flexible demand are now beginning to be included in Active Network Management (ANM) schemes. Optimizing the operation of these schemes requires consideration of intertemporal linkages as well as network power flow effects. Network effects are included in Optimal Power Flow (OPF) solutions but this only optimizes for a single point in time. Dynamic Optimal Power Flow (DOPF) is an extension of OPF to cover multiple time periods. This paper reviews the generic formulation of Dynamic Optimal Power Flow before developing a framework for modeling energy technologies with inter-temporal characteristics in an ANM context. The framework includes the optimization of nonfirm connected generation, Principles of Access for non-firm generators, energy storage and flexible demand. Two objectives based on maximizing export and revenue are developed and a case study is used to illustrate the technique. Results show that DOPF is able to successfully schedule these energy technologies. DOPF schedules energy storage and flexible demand to reduce generator curtailment significantly in the case study. Finally the role of DOPF in analyzing ANM schemes is discussed with reference to extending the optimization framework to include other technologies and objectives. Index Terms-Energy storage, Flexible demand, Active Network Management, OPF, dynamic optimal power flow I. NOMENCLATURE 1 General DOPF Vector of OPF control variables Vector of OPF fixed parameters Vector of intertemporal variables Vector of OPF derived variables Objective function OPF equality constraints OPF inequality constraints Intertemporal equality constraints Intertemporal inequality constraints This work is partly funded through the in Wind Energy Systems Centre for Doctoral Training at the University of Strathclyde. EPSRC EP/G037728/1.

The UK electricity system is likely to face dramatic technical and institutional changes in the near future. Current UK energy policy focuses on the need for a clean, affordable and secure energy supply. Decentralisation of the electricity system is recognised as one means of achieving efficient and renewable energy provision, as well as addressing concerns over ageing electricity infrastructure and capacity constraints. In this paper we provide a critical literature review of the economics of increased penetration of distributed energy generation. We find that there exists a large volume of research considering the financial viability of individual distributed generation technologies (and we are necessarily selective in our review of these studies, given the wide variety of technologies that the definition of distributed generation encompasses). However, there are few studies that focus on the pure economics of individual or groups of distributed energy generators, and even fewer still based on the economy-wide aspects of distributed generation. In view of this gap in the literature, we provide suggestions for future research which are likely to be necessary in order adequately to inform public policy on distributed generation and its role in the future of UK energy supply.

This paper presents a new procedure for allocating transmission losses to generators and loads in the context of pools operated under a single marginal price derived from a merit-order approach. The procedure is based on the network Z-bus matrix, although all required computations exploit the sparse Y-bus matrix. One innovative feature and advantage of this method is that, unlike other proposed approaches, it exploits the full set of network equations and does not require any simplifying assumptions. The method is based on a solved load flow and is easily understood and implemented. The loss allocation process emphasizes current rather than power injections, an approach that is intuitively reasonable and leads to a natural separation of system losses among the network buses. Results illustrate the consistency of the new allocation process with expected results and with the performance of other method

This paper makes use of advances in mixed integer linear programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods

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Incremental transmission loss analysis has been used for decades, but recent interest in its application to loss allocation calls for new in-depth results. This paper demonstrates that, for incremental methods to be applied correctly in loss allocation, it is first necessary to specify the load distribution and loss supply strategies. Incremental loss allocation among bus power injections is shown to be arbitrary and, therefore, open to challenge as discriminatory. Loss allocation is possible among incremental loads and/or generators, but the proportion of the total losses assigned to either one is arbitrary. Unique, nonarbitrary incremental loss allocations are however possible among the "equivalent" incremental bilateral exchanges between generators and loads. From these basic components it is possible then to calculate the allocation among generators or loads in any specified proportion. The main results, although developed initially for small increments, are extended to large variations. Finally, a general incremental loss allocation algorithm is developed and teste

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This study presents an overview of the results obtained during the first year of the SmartNet project, which aims at comparing possible architectures for optimised interaction between transmission system operator (TSOs) and distribution system operator (DSOs), including exchange of information for monitoring as well as acquisition of ancillary services (reserve and balancing, voltage regulation, congestion management), both for local needs and for the entire power system. The results concerning TSO-DSO coordination schemes, market design and information and communication technology (ICT) architectures are shown along with the layout of the three technological pilot projects.Additionally, this paper provides insight on the three physical pilots. Five TSO-DSO coordination schemesThe need for increased cooperation between TSOs and DSOs is widely recognised by regulators [1,2]. Within SmartNet, five 24th International Conference & Exhibition on Electricity Distribution (CIRED)