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Independent system operators (ISOs) of electricity markets solve the security-constrained unit commitment (SCUC) problem to plan a secure and economic generation schedule. However, as the size of power systems increases, the current centralized SCUC algorithm could face critical challenges ranging from modeling accuracy to calculation complexity. This paper presents a distributed SCUC (D-SCUC) algorithm...
The day-ahead unit-commitment (UC)-based market-clearing (MC) is widely acknowledged to be the most economically efficient mechanism for scheduling resources in power systems.
This paper presents a novel modeling framework for the analysis of Plug-in Electric Vehicle (PEV) charging in unbalanced, residential, distribution systems. A Smart Distribution Power Flow (SDPF) framework is proposed to determine the controlled or smart charging schedules and hence address the shortcomings of uncontrolled charging. The effect of peak-demand constraint imposed by the Local Distribution...
A mixed integer linear programming (MILP) model for scheduling of the short-term operation of a price-taker hydroelectric plant is presented. The objective of the model is to maximize the profit of energy production in the next hours' operations. Non-linear production curves of hydro power units are considered through a piecewise representation. A detailed modeling of the hydro network is also described...
Micro-Combined-Heat-and-Power-Plants (μCHP) are one of the key technologies for the energy transition due their ability of a joint production of electrical and thermal energy. By combining and coordinating μCHP plants in a Local Virtual Power Plant (LVPP) the benefits of μCHP can be increased. With the hierarchal layer architecture it is possible also to include restriction of the electric grid in...
With high penetration of renewable generation, power system operations need additional ramping capability to follow the change of renewable generation. However, without proper unit commitment in the forward energy scheduling process, the system may not have sufficient ramping capability in the real time operation when renewable generation varies while system load is sharply pulling up or ramping down...
California's proactive goals for developing renewable energy will alter the net demand profile for scheduling dispatchable resources to maintain system balance. Anticipating these changes, the California ISO has implemented market features to promote flexible generation, including a flexibility reserve constraint in market optimization, which is potentially a new market product. This paper builds...
Due to the growth in the number of residential photo voltaic (PV) adoptions in the past five years, there is a need in the electricity industry for a widely-accessible model that predicts the adoption of PV based on different business and policy decisions. We analyze historical adoption patterns and find that monetary savings is the most important factor in the adoption of PV, superseding all socioeconomic...
Flexible energy usage is an important property of many loads. Power systems can achieve better social welfare from their flexibility. Besides, flexible loads are also a choice to offset the fluctuation in the power system from renewable energy, e.g. wind and solar. Since they are affected by enormous uncertain factors, it is still a challenge to predicate their power outputs accurately especially...
Electric vehicles (EVs) are commonly recognized as smart grid assets in addition to their environmental benefits. However, uncoordinated charging or sole cost minimization based charging of electric vehicles may bring undesirable peak demands and voltage violations in the distribution system. This paper applies the transactive control concept to integrate electric vehicles into the power distribution...
Security constrained economic dispatch (SCED) is an important tool for ISOs/RTOs to achieve economic power system operation in day-ahead and real-time markets. However, the wind generation uncertainty varying within a large range may make the SCED model unsolvable under certain scenarios. Thus, curtailment is utilized in this work to avoid the infeasibility in the presence of wind power uncertainty...
Security constrained scheduling has been widely implemented in various power system operations and electricity markets. The practice of securing post-contingency flows preventively to long-term ratings has resulted in transmission network under-utilization. This paper presents a security constrained scheduling process that has been implemented in the National Grid Electricity Balancing System. The...
This paper introduces a production cost modeling approach for evaluating the benefits of intra-hour scheduling among Balancing Authorities (BAs). System operation is modeled in a three-stage sequential manner: day ahead (DA)-hour ahead (HA)?real time (RT). In addition to contingency reserve, each BA will need to carry out “up” and “down” load following and regulation reserve capacity requirements...
Power generation and environmental impact are two most important problems of any economy. An approach to solve this problem is to utilize a Smart Grid model in combination with vehicle to grid(V2G) technology. System planner needs to know the optimal operating point of grid-vehicles interaction before proposing new infrastructure for electric vehicles(EVs) integration. In this paper the authors tested...
Demand response can to be used in order to reduce energy consumption or, in an economic standpoint, to avoid the need of more expensive energy resources. The present paper proposes a methodology that makes possible to compare the modeling of distinct demand response programs by having different consumer remuneration approaches. The methodology, which is developed in the scope of a Virtual Power Players...
The problem of real-time interchange scheduling between two independently operated regions is considered. An optimal scheduling scheme is proposed by maximizing the expected economic surplus based on Coordinated Transaction Scheduling (CTS) mechanism. The proposed technique incorporates probabilistic forecasts of renewable generation to optimize the interchange schedule using a parametric programming...
This paper presents a smart energy management strategy (SEMS) to optimise the economic operation of a micro-grid. As an important component of smart grids, the micro-grid acts as a bridge to bundle renewable generation, energy storage systems (ESSs) and electric vehicles (EVs) together. It can be operated either by connecting to upstream distribution systems or isolated with the help of ESSs. In the...
The aim of the paper is to introduce an independent supervisory architecture for optimal control of power flow in HVDC grids. Such an independent DC supervisory control is able to manage the optimal operation of connecting VSCs in cooperation with other AC SCADA systems. Identifying the grid topology, DC supervisory control employs an optimal power flow (OPF) calculator based on interior point optimization...
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