In this paper, we propose variational inequality models for electricity markets with time-of-use (TOU) pricing. Demand response is dynamic in the model through a dependence on lagged demand. Different market structures are examined within context. With an illustrative example, welfare gains/losses analyzed after implementation of TOU pricing scheme over single scheme. It intended that proposed would be useful: 1) regulatory bodies jurisdictions to assess power; 2) forecast future prices; and...

The optimal transmission switching (OTS) problem, a mixed-integer program (MIP), has been proposed as way to choose lines take out of service reduce generation costs. One impediment the use OTS in practice is very long computing time solve it. This paper proposes two heuristics which rely on line-ranking parameter that based solution ordinary dc power flow linear (LP). heuristic solves sequence LPs, removing one line at time, and other MIPs, each MIP far fewer binary variables (for service)...

This paper considers optimal transmission switching (OTS) to reduce generation cost by removing lines from service. A mixed integer program (MIP) has been proposed solve the OTS problem, based on linear direct current power flow (DCOPF) model. Because of excessive computation times for large, real systems, MIP model followed some heuristics, also DCOPF, obtain near-optimal solutions quickly. However, approximations in DCOPF may lead poor choices remove We assess quality line removal...

Plastics are already one of the world's main groups industrial materials; in volume terms, world plastics consumption is now greater than that all non-ferrous metals combined. The point emerges from international comparisons West Germany's predominance production and exports (and also machinery). German plastic materials 1961 was 19 kilograms per head, compared to 17½ United States 12 Britain. This not due lower costs. In material costs, Germany has been, if anything, at a disadvantage : she...

Integration of large-scale energy storage systems (ESSs) is desirable nowadays to achieve higher reliability and efficiency for smart grids. Controlling ESS operation usually depends on electricity market prices so as charge when the price low discharge high. On other hand, market-clearing itself determined based net demand, i.e., including output, at every hour. Therefore, it crucial develop a mathematical model determine optimal well prices. The problem formulated mixed complementarity...

Abstract One of the major constraints on use back propagation neural networks as a practical forecasting tool is number training patterns needed. We propose methodology that reduces data requirements. The general idea to Box‐Jenkins model in an exploratory phase identify 'lag components' series, determine compact network structure with one input unit for each lag, and then apply validation procedure. This process minimizes size consequently required train network. results obtained eight...

This paper presents a stochastic linear programming model that can be used for pricing in electrical energy and reserve markets. It addresses capacity, energy, dispatch problems may arise from n-1 contingency scenarios. Possible market solutions focusing on generator compensation using real-time, day-ahead, hybrid schemes are enumerated, along with opportunities consumer transmission costing. is illustrated 6-bus test system as well larger 66-bus representing the Ontario network. A key...

Suppliers in competitive electricity markets regularly respond to prices that change hour by or even more frequently, but most consumers price changes on a very different time scale, i.e., they observe and as reflected their monthly bills. In this paper, we examine mixed complementarity programming models of equilibrium can bridge the speed response gap between suppliers yet adhere principle marginal cost pricing electricity. We develop computable model estimate ex ante time-of-use (TOU) for...

This study presents a hierarchical dynamic optimisation model to address the design, planning and energy scheduling problem in power distribution systems. In addition planner controlled investments, uncoordinated investor distributed generation investments are also respected, for which recommendations given policies can be made. Beyond planning, this model's usefulness extends into predicting impact of different on system operation economics.

Load flow is an important tool used by power engineers for planning, to determine the best operation a system and exchange of between utility companies. In order have efficient operating system, it necessary which method suitable system’s load analysis. A analysis may take long time therefore prevent achieving accurate result solution because continuous changes in demand generations. This paper presents problem planning studies. The numerical methods: Gauss-Seidel, Newton-Raphson Fast...

Competitive markets for electricity determine either a uniform marginal price (UMP), set of nodal prices (NMPs), or smaller zonal (ZMPs). In theory, the NMP system is best, as it correctly accounts transmission constraints (and losses in some versions), but critics allege that large number confusing. Since UMP ZMP solution must be adjusted to account and losses, reasonable consider market design which actual dispatch corresponds an model if used at all, only compute settlements compensation...

In deregulated electricity sector climates, such as in Ontario, the production of clean or renewable energy by small power producers through distributed generation (DG) is encouraged. This paper examines policies that can be used to encourage DG investment and incorporates them into a mathematical model. model then create scenarios for examining economic environmental supply-side effects distribution system over ten-year period. The analyzed include combination feed-in-tariffs, CO <sub...

We present a multi-period stochastic mixed integer programming model for power generation scheduling in day-ahead electricity market. The considers various scenarios and integrates the idea of reserve shortage pricing real time. Instead including all possible scenarios, we parsimoniously select certain number to limit size model. As realistic models are still intractable exact methods, propose heuristic solution methodology based on scenario-rolling that is capable finding good quality...

System designers typically use intuitive, knowledge based, or heuristic methods in long term distribution planning. While there are no faults to this approach, room is left for improvement from an optimization (and cost) perspective. This paper presents a long-term, system approach systems planning existing configurations. Applicable both radial and loop/grid systems, allows substation, feeder, distributed generation upgrades while accounting line limits, technology limitations, varying...

Covers advancements in spacecraft and tactical strategic missile systems, including subsystem design application, mission analysis, materials structures, developments space sciences, processing manufacturing, operations, applications of technologies to other fields.

We present a modification to Dantzig-Wolfe decomposition of variational inequality (VI) problems that allows for approximation the VI mapping in subproblem. The is parameterized by most recent master problem solution, and it must satisfy two simple requirements. In an electronic companion (online appendix), we show proofs convergence other important properties go through with subproblem approximation. procedure illustrated application class multicommodity economic equilibrium models...

This paper proposes a novel schematic approach for coordinating the selection of distributed generation unit investment proposals submitted by multiple, competing, private investors to achieve maximum investor participation while complying with technical operational limits local distribution company. The concept domains and common has been used identify largest transgressors system function, forms basis revisions proposals.